ML Remote Jobs

272 Results

9d

TechLead React

ML ● Full Time ● agile ● Master’s Degree ● remote-first ● Dynamics ● Design ● azure ● graphql ● html5 ● git ● typescript ● javascript ● redux

Windmill Smart Solutions is hiring a Remote TechLead React

TechLead React - Windmill Smart Solutions - Career Page- Exciting tasks and challenges that allow for creativity and ownership.See more jobs at Windmill Smart Solutions

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10d

Program Manager with TS/SCI (Cyber Project)

TestProsArlington, VA (and Remote), VA
ML ● Full Time ● qa ● c++

TestPros is hiring a Remote Program Manager with TS/SCI (Cyber Project)

Program Manager with TS/SCI (Cyber Project) - TestPros - Career PageSee more jobs at TestPros

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10d

Information Security Analyst SME with TS/SCI

TestProsArlington, VA (and Remote), VA
ML ● Full Time ● agile ● azure ● qa ● c++ ● AWS

TestPros is hiring a Remote Information Security Analyst SME with TS/SCI

Information Security Analyst SME with TS/SCI - TestPros - Career Pageapplicable security controls

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10d

Cyber Vulnerability Assessment Analyst SME with TS/SCI

TestProsArlington, VA (and Remote), VA
ML ● Full Time ● agile ● qa ● c++

TestPros is hiring a Remote Cyber Vulnerability Assessment Analyst SME with TS/SCI

Cyber Vulnerability Assessment Analyst SME with TS/SCI - TestPros - Career Pagemeet with product and service teams as required

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10d

Techno Functional SAP BRIM Architect, Bill to Cash

BrightspeedCharlotte, NC, Remote
ML ● Design ● mobile ● html5 ● java ● css ● javascript

Brightspeed is hiring a Remote Techno Functional SAP BRIM Architect, Bill to Cash

Job Description

We are seeking an Innovative Techno Functional Architect for a future proof Bill to Cash process using SAP technologies including BRIM, FICA and FSCM, in a multi-cloud landscape to support Payments, Collections, Credit, and Disputes while providing an incredible user experience via portal and mobile for a start-up telco company. You will have a strong background in SAP BRIM FICA module, cloud-based architecture, and intelligent automation. You will be passionate about delivering exceptional user experiences and able to drive innovation through the development of cutting-edge solutions.

As a Techno Functional SAP BRIM Architect, Bill to Cash, your duties and responsibilities will include:

  • Design and implement a futuristic Bill to Cash process using SAP BRIM, FICA and FSCM modules that includes Payments, Collections, Credit, and Disputes management, and intelligent automation.
  • Develop and maintain cloud-based architecture that enables efficient and scalable Bill to Cash operations.
  • Collaborate with cross-functional teams to gather requirements, design solutions, and deliver results that meet or exceed business expectations.
  • Develop and maintain high-quality software solutions that provide an incredible user experience via portal and mobile applications.
  • Design and develop customer centric solutions applying Design Thinking principles.
  • Collaborate with internal and external subject matter experts and implement best practices and futuristic solutions.
  • Develop and maintain intelligent automation solutions to optimize Bill to Cash operations and increase efficiency.
  • Be hands-on, conduct regular code reviews, performance optimization, and debugging to ensure the highest quality of solutions.
  • Be comfortable developing designs and architectures collaborating with peers and present them at various levels.
  • Work in a fast-paced, ambiguous environment, delivering results quickly and iteratively.
  • Take calculated risk and feel comfortable taking initiative to drive and deliver innovative solutions with fail-fast philosophy.
  • Manage and maintain software documentation to ensure that all code is properly documented and easy to understand for future developers.
  • Stay up to date with emerging trends and technologies in the telecommunications industry and apply this knowledge to improve the architecture and development process.
  • Guide and mentor junior team members

Qualifications

WHAT IT TAKES TO CATCH OUR EYE:

  • Bachelor's or Master's degree in Computer Science or a related field.
  • 7+ years of experience in SAP BRIM, FICA and FSCM modules and their interconnections in cloud-based architecture
  • Strong experience in developing and deploying solutions for payments, collections, credit, and disputes management
  • At least 5 implementations and hands on expertise in SAP BRIM FICA, FSCM, ABAP, and other relevant programming languages
  • Proven track record of designing and delivering high-quality solutions.
  • Excellent communication and interpersonal skills.
  • Ability to work independently and as part of a team.
  • Strong analytical and problem-solving skills.
  • Expertise in web and mobile application development, including HTML5, CSS, Java, JavaScript, and React a plus
  • Experience in intelligent automation solutions such as Robotic Process Automation (RPA), Machine Learning (ML), and Artificial Intelligence (AI) a huge plus
  • Knowledge/Certification or implementation experience of BRIM/FICA/FSCM is a plus
  • Knowledge of the telecommunications industry is a plus

 

#LI-SS1

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10d

Machine Learning Engineer

Ingenia AgencyMexico - Remote
ML ● Master’s Degree ● 3 years of experience ● java ● python

Ingenia Agency is hiring a Remote Machine Learning Engineer

In Ingenia Agency we’re looking for a Machine Learning Engineerto join our team.

Responsible for evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.

What will you be doing?

  • Consulting with managers to determine and refine machine learning objectives.
  • Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
  • Transforming data science prototypes and applying appropriate ML algorithms and tools.
  • Ensuring that algorithms generate accurate user recommendations.
  • Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.
  • Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
  • Developing ML algorithms to analyze huge volumes of historical data to make predictions.
  • Running tests, performing statistical analysis and interpreting test results.
  • Documenting machine learning processes.
  • Keeping side by side developments in machine learning.

What are we looking for?

  • Bachelor’s degree in Systems Engineering or related.
  • Master’s degree preferable.
  • Age indifferent.
  • Advanced proficiency with Python, Java and R code writing.
  • Extensive knowledge of ML frameworks, libraries, data structures, data modeling and software architecture.
  • In-depth knowledge of mathematics, statistics and algorithms.
  • Superb analytical and problem-solving abilities.
  • Great communication and collaboration skills.
  • Excellent time management and organizational abilities.
  • At least 3 years of experience working in a similar role.
  • Advanced English.
  • Be Extraordinary!



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11d

Tech Lead Manager, Machine Learning

HandshakeUnited States (remote)
ML ● Design ● azure ● c++

Handshake is hiring a Remote Tech Lead Manager, Machine Learning

Everyone is welcome at Handshake. We know diverse teams build better products and we are committed to creating an inclusive culture built on a foundation of respect for all individuals. We strongly encourage candidates from non-traditional backgrounds, historically marginalized or underrepresented groups to apply.

Your impact

Handshake is hiring a Tech Lead Manager, Machine Learning with a focus on Generative AI and Recommendations reporting to our Head of Core Relevance. 

AI is the future and we are excited to further invest in providing AI resources for our users on our platform. Is it possible to thoughtfully design a responsible, AI-driven product that can help our students progress from educational aspirations to career achievements?  In this role, you will work on tackling that goal as part of a lean, high-visibility team. You will be responsible for helping advance our AI product and infrastructure vision towards our mission of democratizing opportunity for millions of students on Handshake.

You will be part of a high-impact org that has already built a Data platform housing billions of data points, with cutting-edge production systems such as embedding-based retrieval, Graph Neural Networks, Fine-Tuned LLMs, and multi-stage rankers.  You will level up existing ML systems and drive marketplace metrics, while also accelerating greenfield AI-based products such as Social/Feed.  We’ll do all of this responsibly, with developed workstreams around Explainability, Fairness, and Quality.

Your role

  • You will be a Force Multiplier - setting technical direction, shaping engineering culture, identifying and adopting industry best practices, designing effective partnerships across the company, mentoring and coaching direct reports / peers, and more. 
  • You will be a Leader-  managing a lean team of machine learning engineers and data scientists while enabling effective collaboration, high-quality execution, and technical excellence across the Data organization
  • You will be an Innovator -  developing algorithms and Machine Learning systems that connect users across the Handshake marketplace; from students looking for their first jobs and internships to employers sourcing candidates for high-priority roles.
  • You will be a Collaborator -being an effective partner to product managers; you will work with product managers in driving new user experiences through Machine Learning and Natural Language Processing and build experiments that drive key product decisions and provide invaluable insights.

Your experience

You are an experienced, hands-on senior engineering leader with extensive experience identifying problems, coming up with technical solutions, and driving projects to completion. You care about culture, mentorship, and collaboration just as much as you care about coding, architecture, and technical design. You have an extreme user-focus, you are comfortable with ambiguity, you can drive alignment, and you make thoughtful data-driven decisions. 

  • Basic Qualifications
    • Bachelor’s degree in Computer Science or related technical field or equivalent technical experience.
    • 4+ years of industry ML experience as TL or TLM
  • Preferred Qualifications:  
    • MS/Ph.D. in Machine Learning, Statistics or a related field 
    • 7+ years of industry ML experience as TL or TLM
    • End-to-End experience building web-scale AI systems, feature stores, microservices
    • Background in one or more of the following areas of machine learning: recommendations, optimization, natural language processing (NLP), deep learning, LLMs, explainable AI
    • Experience building applications atop of IAAS (Google Cloud Platform, Amazon Web Services, Azure Cloud Services, etc.)
    • Experience working directly with cross-functional teams such as product management, analytics, engineering, and design.
    • Excellent communication skills — ability to succinctly communicate results and tell compelling stories with data to an out-of-domain audience (e.g. presenting findings and deep-dives to senior leadership).

Compensation range

  • $235,000-$260,000

Want to learn more about what it's like to work at Handshake?Check out these interviews from our team members!

For cash compensation, we set standard ranges for all U.S.-based roles based on function, level, and geographic location, benchmarked against similar stage growth companies. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors, including geographic location as well as candidate experience and expertise, and may vary from the amounts listed above.

About us

Handshake is the career platform for Gen Z. With a community of over 17 million students, alumni, employers, and career educators, Handshake’s network is where career advice and discovery turn into first, second, and third jobs. Nearly 1 million companies use Handshake to build their future workforce—from Fortune 500 to federal agencies, school districts to startups, healthcare systems to small businesses. Handshake is built for where you’re going, not where you’ve been.

When it comes to our workforce strategy, we’ve thought deeply about how work-life should look at Handshake. With our hybrid-work model, employees benefit from collaboration and shared team experiences three days per week in our vibrant offices, and enjoy the flexibility of remote work two days per week. Handshake is headquartered in San Francisco, with offices in New York, London, and Berlin.

What we offer

At Handshake, we'll give you the tools to feel healthy, happy and secure.

Benefits below apply to employees in full-time positions.

  • ???? Equity and ownership in a fast-growing company.
  • ???? 16 Weeks of paid parental leave for birth giving parents & 10 weeks of paid parental leave for non-birth giving parents.
  • ???? Comprehensive medical, dental, and vision policies including LGTBQ+ Coverage. We also provide resources for Mental Health Assistance, Employee Assistance Programs and counseling support.
  • ???? Handshake offers $500/£360 home office stipend for you to spend during your first 3 months to create a productive and comfortable workspace at home.
  • ???? Generous learning & development opportunities and an annual $2,000/£1,500/€1,850 stipend for you to grow your skills and career.
  • ???? Financial coaching through Origin to help you through your financial journey.
  • ???? Monthly internet stipend and a brand new MacBook to allow you to do your best work.
  • ???? Monthly commuter stipend for you to expense your travel to the office (for office-based employees).
  • ???? Free lunch provided twice a week across all offices.
  • ???? Referral bonus to reward you when you bring great talent to Handshake.

(US-specific benefits, in addition to the first section)

  • ???? 401k Match: Handshake offers a dollar-for-dollar match on 1% of deferred salary, up to a maximum of $1,200 per year.
  • ???? All full-time US-based Handshakers are eligible for our flexible time off policy to get out and see the world. In addition, we offer 8 standardized holidays, and 2 additional days of flexible holiday time off. Lastly, we have a Winter #ShakeBreak, a one-week period of Collective Time Off.
  • ???? Family support: We partner with Milk Stork to provide comprehensive 100% employer-sponsored lactation support to traveling parents and guardians. Parental leave coaching and support provided by Parentaly.

(UK-specific benefits, in addition to the first section) 

  • ???? Pension Scheme: Handshake will provide you with a workplace pension, where you will make contributions based on 5% of your salary. Handshake will pay the equivalent of 3% towards your pension plan, subject to qualifying earnings limits.
  • ???? Up to 25 days of vacation to encourage people to reset, recharge, and refresh, in addition to 8 bank holidays throughout the year.
  • ???? Regular offsites each year to bring the team together + opportunity to travel to our HQ in San Francisco.
  • ????️ Discounts across various high street retailers, cinemas and other social activities exclusively for Handshake UK employees.

(Germany-specific benefits, in addition to the first section)

  • ???? 25 days of annual leave + 5 days of a winter #ShakeBreak, a one-week period of Collective Time Off across the company.
  • ???? Regular offsites each year to bring the team together + opportunity to travel to our HQ in San Francisco once a year.
  • ???? Urban sports club membership offering access to a diverse network of fitness and wellness facilities.
  • ????️ Discounts across various high street retailers, cinemas and other social activities exclusively for Handshake Germany employees.

Looking for more? Explore our mission, values and comprehensive US benefits at joinhandshake.com/careers.

Handshake is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or reasonable accommodation, please reach out to us at people-hr@joinhandshake.com.

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12d

Staff Backend Engineer, Search

MonzoCardiff, London or Remote (UK)
ML ● Design ● mobile ● docker ● kubernetes ● AWS ● backend

Monzo is hiring a Remote Staff Backend Engineer, Search

???? We’re on a mission to make money work for everyone.

We’re waving goodbye to the complicated and confusing ways of traditional banking. 

With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers!

We’re not about selling products - we want to solve problems and change lives through Monzo ❤️

Hear from our team about what it's like working at Monzo ✨

 

????London / UK Remote | ???? £140,000 - £165,000 + Share Options |Benefits|Technology

About this role:

We’re looking for somebody with deep experience building, scaling, and tuning complex search products. We’re rethinking the search experience in Monzo to enable 10 million customers to find what they’re looking for – transactions, products, help articles, people, and more – in as few keystrokes as possible. 

This role sits in our Core Banking product collective, collaborating closely with ML Platform and a range of product teams across the business with a stake in how search results are ranked and displayed. You’ll be a key influence in the long-term product strategy for search at Monzo.

Initially, you’ll own 3 key challenges:

  1. Launch a global search experienceworking end-to-end from customer experience in our mobile apps to backend systems, indexes, and data pipelines
  2. Scale search to support all Monzo’s account types (incl. Business Banking, US) and internationalisation
  3. Optimise resultswith machine learning models and build feedback loops to measure search performance (e.g. latency and relevance) 

As a Staff Engineer:

A Staff Engineer at Monzo is a technical (IC) leadership position. As a Staff Engineer in the Core Banking collective, you will:

  • Partner with engineering leadership in the collective and provide technical leadership on the search domain across Monzo’s broader engineering organisation.
  • Work collaboratively with leaders in product, data, research, and design to identify and execute on opportunities that further the organisation’s goals and strategy.
  • Oscillate between contributing to high-level planning and strategy and organisational leadership and diving deep into the execution of problems and getting hands-on.
  • Use your expert knowledge and experience to lead architectural discussions for the most complex systems in the collective. 
  • Keep a high bar for technical excellence in the collective, through your own work, highlighting the work of others and calling out when things haven’t quite met the bar.
  • Pro-actively mentor, sponsor and up-level engineers.

What you’ll be using: 

We rely heavily on the following tools and technologies, please note direct experience in these technologies is not required and our interview process can be completed in any language:

  • Go to write our application code (there’s an excellent interactive Go tutorial here)
  • Cassandra for most persistent data storage
  • Kafka for our asynchronous message queue
  • Kubernetes and Docker to schedule and run our services 
  • AWS for most of our production infrastructure and GCP for most of our data infrastructure.
  • OpenSearch for our first iteration of search infrastructure

????We’d love to hear from you if… 

  • You have a track record of technical excellence, delivering resilient systems, ideally behind consumer products.
  • You have real-world experience working with Machine Learning specialists on search ranking problems.
  • You solve problems end-to-end, from client applications to backend infrastructure.
  • You have led technically across 3-4 teams to deliver customer-facing features that leverage ML.
  • You have a quantitative mindset: you care about outcomes and you make data-informed decisions.
  • You’re comfortable working in a cross-functional team that deals with ambiguity and have experience helping your team and partner teams resolve that ambiguity.
  • You have demonstrable experience working with stakeholders, especially non-technical stakeholders at the senior level.

????What’s in it for you

????£140,000 - £165,000 ➕ share options.

✈️ We’ll help you relocate to the UK.

✅ We can sponsor your visa. 

????This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London) 

⏰We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit
you and your team. 

????£1,000 learning budget each year to use on books, training courses and conferences.

????We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. 

➕ Plus lots more! Read our full list of benefits.

???? The application journey has 4 key steps

Our interview process for this role has four main stages, most of which can be scheduled on the same day: 

  1. Initial Call 
  2. System Design Interview 
  3. Pair coding exercise 
  4. Final interview including a behavioural and a leadership interview 

You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions or want to talk through reasonable adjustments ahead of or during application please us at any point on tech-hiring@monzo.com

We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here. Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason.

One of our staff engineers has written a detailed blog on their experience through this process, for extra details, hints and tips please see here.

#LI-Remote

#LI-TT1

Equal opportunities for everyone

Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog, 2023 Diversity and Inclusion Report and 2023 Gender Pay Gap Report.

We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.

If you have a preferred name, please use it to apply. We don't need full or birth names at application stage ????

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12d

Senior Staff Product Manager, Anonym

MozillaRemote US
ML ● Sales ● 7 years of experience ● Design ● c++

Mozilla is hiring a Remote Senior Staff Product Manager, Anonym


Why Mozilla?

Mozilla Corporation is the non-profit-backed technology company that has shaped the internet for the better over the last 25 years. We make pioneering brands like Firefox, the privacy-minded web browser, and Pocket, a service for keeping up with the best content online. Now, with more than 225 million people around the world using our products each month, we’re shaping the next 25 years of technology and helping to reclaim an internet built for people, not companies. Our work focuses on diverse areas including AI, social media, security and more. And we’re doing this while never losing our focus on our core mission – to make the internet better for people. 

The Mozilla Corporation is wholly owned by the non-profit 501(c) Mozilla Foundation. This means we aren’t beholden to any shareholders — only to our mission. Along with thousands of volunteer contributors and collaborators all over the world, Mozillians design, build and distributeopen-sourcesoftware that enables people to enjoy the internet on their terms. 

About this team and role:

Anonym is a division of Mozilla Corporation focused on developing and commercializing privacy preserving technologies for the advertising ecosystem.  The team is composed of seasoned software engineers, ML engineers  and researchers. We are nimble, fast moving and growing quickly.  

You will be Anonym’s first  product hire and will work closely with the SVP, Product and VP, Engineering to shape the product vision and drive strategic decision-making.  You will oversee the execution of key initiatives in a fast-paced, innovative environment, working with our team of engineers and researchers on cutting edge technologies at the intersection of advertising, privacy and analytics.

What you’ll do: 

  • Work with Anonym leadership team to set direction for product strategy
  • Manage roadmap, weekly standups, monthly sprints ensuring we are executing to plan and making sensible tradeoff decisions where necessary
  • Collaborate closely with researchers and engineers to set technical priorities. A strong understanding of full-stack development, advertising analytics, and machine learning methodologies will enable you to effectively lead both technical and strategic initiatives.
  • Collaborate with engineering, legal and policy teams as well as customers, to define product requirements
  • Work cross-functionally with sales, marketing, and customer success teams to align product strategy with market needs. Actively engage with customers to ensure that our product offerings are fine-tuned for real-world applications and market demands.

What you’ll bring: 

  • Minimum 7 years of experience in product management or data science in the advertising technology industry.
  • Undergraduate degree, and ideally advanced degree, in a technical field, such as engineering, statistics or mathematics 
  • Deep understanding of the advertising ecosystem.  Direct experience building advertising products within a ‘walled garden’ or ‘open web’ ad stack; ideally both.
  • Experience with advertising analytics and algorithms.  Experience with experimental design, machine learning and/or statistical methods are a plus.
  • Experience with privacy enhancing technologies such as differential privacy and trusted execution environments (or an interest in learning these technologies).
  • An understanding of, and ideally experience with, the data privacy landscape in advertising, including a working knowledge of relevant regulations and platform policies
  • A desire to work closely with customers to understand needs and refine product-market fit
  • Commitment to our values:
    • Welcoming differences
    • Being relationship-minded
    • Practicing responsible participation
    • Having grit

What you’ll get:

  • Generous performance-based bonus plans to all eligible employees - we share in our success as one team
  • Rich medical, dental, and vision coverage
  • Generous retirement contributions with 100% immediate vesting (regardless of whether you contribute)
  • Quarterly all-company wellness days where everyone takes a pause together
  • Country specific holidays plus a day off for your birthday
  • One-time home office stipend
  • Annual professional development budget
  • Quarterly well-being stipend
  • Considerable paid parental leave
  • Employee referral bonus program
  • Other benefits (life/AD&D, disability, EAP, etc. - varies by country)

About Mozilla 

Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online.

Commitment to diversity, equity, inclusion, and belonging

Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission.  We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations,gender identities, and expressions.

We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at hiringaccommodation@mozilla.com to request accommodation.

We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws.  Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.

Group: C

Req ID: R2692

#LI-REMOTE

Hiring Ranges:

US Tier 1 Locations
$194,000—$283,000 USD
US Tier 2 Locations
$179,000—$260,000 USD
US Tier 3 Locations
$165,000—$240,000 USD

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12d

Parallel Works - Department of Defense (DoD) Sales Executive

1871 Member CompaniesUnited States, Remote
ML ● Sales

1871 Member Companies is hiring a Remote Parallel Works - Department of Defense (DoD) Sales Executive

About Us

Parallel Works is a Chicago-based startup focused on technical computing for science, engineering and business applications. The Parallel Works ACTIVATE SaaS platform makes high performance computing (HPC) workflows easy, fast and collaborative on hybrid cloud and supercomputing environments. The platform acts as middleware between these wide ranges of computing resources and allows organizations to leverage their resource, billing and user hierarchies in a uniform way. Our customers range from small and nimble startups and research organizations creating innovative computing and ML pipelines to the world’s leading flood modeling engineers to government weather and defense agencies to global automotive suppliers.

The Role The Department of Defense (DoD) Sales Executive is responsible for driving business growth by establishing and strengthening relationships within the U.S. Department of Defense with special emphasis on research groups. This role involves developing and executing strategic sales initiatives, understanding complex DoD procurement processes, and effectively positioning the company's solutions to meet mission-critical needs. The DoD Sales Executive will lead business development activities and drive revenue growth, working closely with internal teams to tailor solutions that address the unique challenges and goals of DoD customers.

Responsibilities

  • Business Development: Identify, pursue, and secure new business opportunities within various branches of the Department of Defense, including (but not limited to) Army, Navy, Air Force, and Marines, with a special emphasis on research groups with compute-intensive workloads.
  • Customer Relationship Management: Build and maintain trusted relationships with key decision-makers, influencers, and stakeholders within the DoD. Develop a deep understanding of customer needs, challenges, and strategic objectives.
  • Sales Strategy Execution: Create and execute sales plans to achieve revenue targets, including forecasting, tracking, and reporting progress. Align strategies with company objectives and market trends.
  • Proposal Development and Negotiation: Lead the preparation of proposals and presentations tailored to the specific needs of DoD clients. Negotiate contract terms in alignment with legal and regulatory requirements.
  • Market Intelligence and Analysis: Stay informed of market trends, competitor activities, and emerging needs within the DoD sector. Leverage insights to refine sales approaches and influence product/service development.
  • Compliance: Ensure all sales activities comply with federal regulations, government contracting standards, and the Federal Acquisition Regulation (FAR) guidelines.
  • Collaboration with Internal Teams: Work closely with engineering, product development, marketing, and project management teams to develop solutions that address DoD-specific requirements.

Qualifications:

  • Experience: 5+ years of experience in sales or business development with a focus on the Department of Defense or Defense Contractors.
  • Knowledge: Strong understanding of the DoD acquisition process, contracting vehicles, and federal procurement guidelines.
  • Skills: Proven ability to develop strategies and drive results in a government sales environment. Excellent negotiation, communication, and presentation skills.
  • Clearance: Must possess or be able to obtain a security clearance.
  • Education: Bachelor’s degree in Business, Engineering, or a related field. Advanced degrees or certifications in government contracting are a plus.

Preferred Qualifications:

  • Network: Established network of contacts within various DoD branches.
  • Technical Background: Familiarity with technology solutions used by defense agencies (e.g., cloud computing or high-performance computing).
  • Problem Solving: Ability to analyze complex requirements and develop innovative solutions that meet DoD objectives.

Parallel Works is an Affirmative Action, Equal Opportunity Employer. As part of our standard hiring process for new employees, employment with Parallel Works will be contingent upon successful completion of a comprehensive technical evaluation and a background check.

Health, Dental, Vision, 401k

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12d

Machine Learning Engineer

GoMaterialsMontreal, QC - Remote
ML ● Master’s Degree ● B2B ● Design ● azure ● docker ● kubernetes ● python ● AWS

GoMaterials is hiring a Remote Machine Learning Engineer

GoMaterials is a fast-paced growth startup looking for a passionate ML Engineer to join our team!

The successful candidate will work on developing, deploying, and optimizing machine learning models and AI applications that help solve complex business problems. You will collaborate with the product team, software engineers, and other stakeholders to build scalable AI solutions.

The ideal candidate should be a good problem-solver, team-oriented and comfortable working in a fast-paced Startup environment.

What You’ll Do

  • Design, develop, and implement machine learning and deep learning algorithms and models.
  • Explore and define business problems, design and develop AI agent solution for specific tasks
  • Collaborate with product team and engineers to transform raw data into actionable insights.
  • Design and develop AI Agentic application for automation tasks, familiar with tools and frameworks such as LangChain and Dify
  • Train, test, and optimize models to ensure accuracy, efficiency, and scalability.
  • Deploy machine learning models into production environments, ensuring reliability and robustness.
  • Monitor and maintain machine learning pipelines, identifying areas for improvement or enhancement.
  • Conduct data preprocessing and feature engineering to prepare data for modeling.
  • Research and evaluate new algorithms, tools, and techniques to enhance model performance.
  • Collaborate with cross-functional teams to integrate AI solutions into business processes and applications.
  • Document processes, models, and experiments for knowledge sharing and reproducibility.
  • Troubleshoot and debug issues related to machine learning models and systems.

What You’ll Need

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
  • Experience with AI Agent solution development and framework
  • Proven experience as a Machine Learning Engineer or similar role.
  • Strong programming skills in Python, R, or similar languages.
  • Familiar with fine tuning techniques on existing models
  • Experience with machine learning libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, etc.
  • Familiarity with cloud platforms (AWS, Google Cloud, Azure) for deploying machine learning models.
  • Strong understanding of data structures, algorithms, and mathematical concepts used in machine learning.
  • Familiar with deep learning techniques and development process
  • Excellent problem-solving and analytical skills.
  • Strong communication and teamwork abilities.

Nice to Have

  • Experience with MLOps tools for version control, CI/CD pipelines, and monitoring.
  • Knowledge of AI ethics and responsible AI practices.
  • Understanding of model interpretability and explainability.
  • Familiarity with Docker and Kubernetes for containerization and orchestration.
  • Experience with Azure AI Studio or other cloud platform

Benefits and perks to look forward to:

  • Employee Stock Option Plan
  • Great work environment and team culture (CLICK HERE to learn more about our culture)
  • Benefits including Telemedicine
  • Work from home and remote work opportunities
  • Vacation and paid time off
  • Casual dress code; wear what’s comfortable

Why Work at GoMaterials?

As one of Montreal’s fastest-growing startups, GoMaterials is revolutionizing the procurement process in the landscape construction industry! Our B2B marketplace optimizes how landscape contractors source plant and tree materials and has allowed us to be named one of Canada’s most innovative companies in 2018 by Innovations of the World and to be one of 11 companies included in the 2022 Lazaridis Scaleup Program cohort .

Since inception, we have helped landscapers save time, money, and stress and plant over 1.5 million plants and trees. Led by a young and eager group of entrepreneurs, GoMaterials is aggressively expanding across North America. We are therefore looking for amazing people to add to our team!

Our Values

  • Get our hands dirty: We hustle for our customers and our team.
  • Pick up a Shovel: We take initiative and focus to move the business forward.
  • Win as a crew: We respect, listen and challenge each other to succeed.
  • Have Fun: We love a good laugh and encourage everyone to be their authentic selves.

Ready to Apply?

If you think you’d be a great fit at our company and are passionate about this role, we want to hear from you!

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12d

Senior Systems Engineer

ZegoLondon,England,United Kingdom, Remote Hybrid
ML ● DevOPS ● S3 ● EC2 ● agile ● terraform ● docker ● kubernetes ● python ● AWS

Zego is hiring a Remote Senior Systems Engineer

About Zego

At Zego, we understand that traditional motor insurance holds good drivers back. It's too complicated, too expensive, and it doesn't reflect how well you actually drive. Since 2016, we have been on a mission to change that by offering the lowest priced insurance for good drivers.

From van drivers and gig workers to everyday car drivers, our customers are the driving force behind everything we do. We've sold tens of millions of policies and raised over $200 million in funding. And we’re only just getting started.


Overview of our Engineering Team

Zego puts technology first in its mission to define the future of the insurance industry. By focusing on our customers' needs we're building the flexible and sustainable insurance products and services that they deserve. And we do that by empowering a diverse, resourceful, and creative team of engineers that thrive on challenge and innovation.

Purpose of the Role

You will play a key role in shaping the future of the Systems Engineering function at Zego.

  • You will be part of the team ultimately responsible for the uptime of the Zego Hosting Platform and services.
  • You will build and nurture relationships with key stakeholders across Product and Engineering to ensure our platform is aligned with business objectives.
  • You will champion agile methodologies, metrics and tooling to support the teams in incrementally improving the efficiency of our hosting platform.

What you will be doing

  • Drive improvements to the Zego Hosting Platform at scale, influence change and buy-in across the organisation.
  • Play a key role in defining technical solutions with a detailed analysis of costs, risks, performance, reliability, scalability, and maintainability.
  • Approach our processes critically, identify areas of improvement and balance business priorities against technical compromises.
  • Nurture a culture of continuous learning and knowledge-sharing, leading by example across multiple areas and teams. 
  • Use code reviews as an opportunity to ensure coding styles are followed and leading the team in defining new standards to promote a clear and concise codebase.

What you will need to be successful

We are looking for engineers who embrace the DevOps culture to deliver continuous improvements to our security posture. Engaging with and empowering the teams to drive change leveraging metrics, championing automation and operational excellence.

  • Good coding and scripting skills in languages such as Bash and Python with a focus on automating infrastructure tasks, monitoring, and process optimisation.
  • Experience configuring Infrastructure as Code (IaC) using tools such as Terraform, Crossplane, and Helm, with a focus on building scalable, reliable, and reproducible infrastructure.
  • In-depth knowledge of AWS cloud services, especially core services like VPC, S3, EC2, Kinesis, RDS, and EKS, with experience in multi-account setups and optimising for performance and cost-efficiency.
  • Skilled in container management and orchestration using Docker, Kubernetes, Helm, Service Mesh (ie. Istio) and GitOps (ie. ArgoCD), with a focus on streamlined deployments and managing complex service-oriented architectures.
  • Experienced in leveraging observability tools, such as Honeycomb (OpenTelemetry) and DataDog, to support data-driven decisions across the wider engineering team.
  • Comprehensive understanding of networking in cloud environments, including VPN solutions, efficient network configuration, load balancing, and troubleshooting.
  • Extensive experience designing, implementing, and optimising CI/CD pipelines to ensure reliable, automated delivery of code across development, testing, and production environments.

If possible, we'd also love you to have

  • Experience with maintaining relational and non-relational databases.
  • Experience with supporting AI and ML workloads.

What’s it like to work at Zego?

Joining Zego is a career-defining move. People go further here, reaching their full potential to achieve extraordinary things. 

We’re spread throughout the UK and Europe, and united by our drive to get things done. We’re proud of our company and our culture – a friendly and inclusive space where we can lift each other up and celebrate our wins every day.

Together, we’re setting the bar higher, delivering exceptional work that makes a difference. Our people are the most important part of our story, and everyone here plays a role. There’s loads of room to learn and grow, and you’ll get the freedom to steer your career wherever you want.

You’ll work alongside a talented group who embrace each other's differences and aren’t afraid of a challenge. We recognise our achievements, learn from our mistakes, and help each other to be the best we can be. Together, we’re making insurance matter.

How we work

We believe that teams work better when they have time to collaborate and space to get things done. We call it Zego Hybrid. We ask you to spend at least one day a week in our central London office. We think it’s a good mix of collaborative face time and flexible home-working, setting us up to achieve the right balance between work and life.

Benefits

We reward our people well. Join us and you’ll get a market-competitive salary, private medical insurance, company share options, generous holiday allowance, and a whole lot of wellbeing benefits. And that’s just for starters. We also cover the costs for all company-wide events (3 per year), and also provide a separate hybrid contribution to help pay towards other travel costs.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, or disability status.

#LI-Hybrid

#LI-IL1

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13d

IoT SME - Must Be US Citizen with Active Secret Cleaance

EDC ConsultingLaurel, MD, Remote
ML

EDC Consulting is hiring a Remote IoT SME - Must Be US Citizen with Active Secret Cleaance

Job Description

MUST Be A US Citizen with Active Secret Clearance!

Hybrid Remote - Washington, DC Metro Area, for periodic and possible last minute meetings.

We Are The Employer!

  • Prepare an installation package of a modified RATE system that is capable of running within an IL5 environment to accommodate receipt, processing and storage of Controlled Unclassified Information (CUI).
  • Showcase the technical feasibility of deploying RATE applications within IL5 environments by installing it and running it on a target IL5 environment and using raw physiological measurement data from wearables in a simulation test harness.
  • Install, Test and IVV RATE IL5 Software and demonstrate a RATE installation in an IL5 computing environment with Controlled Unclassified Information (CUI)
     

Qualifications

REQUIRED QUALIFICATIONS: 
Recent hands on experience with the above listed skills, including IL5, Wearable Technology, Artifical Intelligence, (i.e. ML, DL, etc.), Internet of Things, (i.e. IoT), on/in an Enterprise DoD systems, as Software Engineer, Solution Engineer, Test Engineer or Solution Architect, with prefered Rapid Assessment of Threat Exposure (RATE) expereince.
REQUIRED EDUCATION: BS/BA STEM Degree or Related Fields.
REQUIRED CLEARANCE: Active Secret.

Hybrid Remote - Washington, DC Metro Area, for periodic and possible last minute meetings.

We Are The Employer!

#HiringImmediately #IL5 #Job #WearableTechnologiy #Artifical Intelligence #DoD #ML #DL #IoT #InternetOfThings WeAreTheEmployer #LongTermWork #IL5 #CSP #CUI #RapidAssessmentOfThreatExposure #RATE #Employmnet #Career
 

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14d

Senior ML & Data Engineer

XeBrazil, Remote
ML ● DevOPS ● Design ● mobile ● api ● docker ● python ● AWS ● backend

Xe is hiring a Remote Senior ML & Data Engineer

At XE, we live currencies. We provide a comprehensive range of currency services and products, including our Currency Converter, Market Analysis, Currency Data API and quick, easy, secure Money Transfers for individuals and businesses. We leverage technology to deliver these services through our website, mobile apps and by phone. Last year, we helped nearly 300 million people access information about the currencies that matter to them, and over 150,000 people used us to send money overseas. Thousands of businesses relied on us for information about the currency markets, advice on managing their foreign exchange risk or trusted us with their business-critical international payments. At XE, we share the belief that behind every currency exchange, query or transaction is a person or business trying to accomplish something important, so we work together to develop new and better currency services that put our customers first. We are proud to be part of Euronet Worldwide (Nasdaq: EEFT), a global leader in processing secure electronic financial transactions. Under Euronet, we have brought together our key brands – XE, HiFX and Currency Online– to become the business that XE is today.

The Senior ML and Data Engineer will be responsible for designing, building, and maintaining the infrastructure, platform, and processes required to successfully deploy and manage machine learning models in a production environment. This includes tasks such as developing Entity Resolution Solutions, building production features, and integrating ML solutions into production systems. 

This role will work closely with data scientists and software engineers to ensure that machine learning models can seamlessly integrate into existing systems and processes. The role will also be responsible for identifying and implementing best practices for managing and optimizing machine learning models in production. 

Thea ideal candidate for this role will have extensive experience in both software engineering and machine learning, as well as a deep understanding of the challenges and best practices involved in deploying machine learning models in production. Experience working with cloud computing platforms such as AWS or GCP is a plus. 

 

What You'll Do

  • Build and maintain production-level real-time and batch MLOps pipelines. 
  • Deploy backend and real-time machine learning features and models. 
  • Design and develop multiple ML microservices and APIs. 
  • Monitor and optimize the performance of machine learning systems in production. 
  • Work closely with data scientists and software engineers to ensure the successful integration of machine learning microservices into existing systems and processes. 
  • Mentor junior engineers and provide technical leadership within the team. 
  • Stay updated with the latest advancements in machine learning and data engineering technologies and methodologies. 

Who You Are

  • Degree in Computer Science, Software Engineering, or a related discipline. 
  • Extensive experience in developing and maintaining API services in a cloud environment. 
  • Strong object and service-oriented programming skills in Python to write efficient, scalable code. 
  • Knowledge of modern containerization techniques - Docker, Docker Compose. 
  • Experience with relational and unstructured databases and data lakes. 
  • An understanding of business goals and how data policies can affect them. 
  • Effective communication and collaboration skills. 
  • A strong understanding of the concepts associated with privacy and data security. 
  • Proven experience in mentoring and leading engineering teams. 
  • Familiarity with CI/CD pipelines and DevOps practices. 

Perks & Benefits

  • Annual salary increase review
  • End of the year bonus (Christmas bonus)
  • ESPP (Employee Stock Purchase Plan)
  • 30 days vacation per year
  • Insurance guaranteed for employees ( Health, Oncological , Dental , Life Insurance)
  • No fee when using RIA service/wire transfers

We want Xe to be a great place to work and to ensure that our communities are represented across our workforce.  A vital part of this is ensuring we are a truly inclusive organisation that encourages diversity in all respects. 

At Xe we are committed to making our recruitment practices barrier-free and as accessible as possible for everyone.  This includes making adjustments or changes for disabled people, neurodiverse people or people with long-term health conditions. If you would like us to do anything differently during the application, interview or assessment process, including providing information in an alternative format, please contact us on recruitment@xe.com 

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14d

Senior ML & Data Engineer

XeChile, Remote
ML ● DevOPS ● Design ● mobile ● api ● docker ● python ● AWS ● backend

Xe is hiring a Remote Senior ML & Data Engineer

At XE, we live currencies. We provide a comprehensive range of currency services and products, including our Currency Converter, Market Analysis, Currency Data API and quick, easy, secure Money Transfers for individuals and businesses. We leverage technology to deliver these services through our website, mobile apps and by phone. Last year, we helped nearly 300 million people access information about the currencies that matter to them, and over 150,000 people used us to send money overseas. Thousands of businesses relied on us for information about the currency markets, advice on managing their foreign exchange risk or trusted us with their business-critical international payments. At XE, we share the belief that behind every currency exchange, query or transaction is a person or business trying to accomplish something important, so we work together to develop new and better currency services that put our customers first. We are proud to be part of Euronet Worldwide (Nasdaq: EEFT), a global leader in processing secure electronic financial transactions. Under Euronet, we have brought together our key brands – XE, HiFX and Currency Online– to become the business that XE is today.

The Senior ML and Data Engineer will be responsible for designing, building, and maintaining the infrastructure, platform, and processes required to successfully deploy and manage machine learning models in a production environment. This includes tasks such as developing Entity Resolution Solutions, building production features, and integrating ML solutions into production systems. 

This role will work closely with data scientists and software engineers to ensure that machine learning models can seamlessly integrate into existing systems and processes. The role will also be responsible for identifying and implementing best practices for managing and optimizing machine learning models in production. 

Thea ideal candidate for this role will have extensive experience in both software engineering and machine learning, as well as a deep understanding of the challenges and best practices involved in deploying machine learning models in production. Experience working with cloud computing platforms such as AWS or GCP is a plus. 

 

What You'll Do

  • Build and maintain production-level real-time and batch MLOps pipelines. 
  • Deploy backend and real-time machine learning features and models. 
  • Design and develop multiple ML microservices and APIs. 
  • Monitor and optimize the performance of machine learning systems in production. 
  • Work closely with data scientists and software engineers to ensure the successful integration of machine learning microservices into existing systems and processes. 
  • Mentor junior engineers and provide technical leadership within the team. 
  • Stay updated with the latest advancements in machine learning and data engineering technologies and methodologies. 

Who You Are

  • Degree in Computer Science, Software Engineering, or a related discipline. 
  • Extensive experience in developing and maintaining API services in a cloud environment. 
  • Strong object and service-oriented programming skills in Python to write efficient, scalable code. 
  • Knowledge of modern containerization techniques - Docker, Docker Compose. 
  • Experience with relational and unstructured databases and data lakes. 
  • An understanding of business goals and how data policies can affect them. 
  • Effective communication and collaboration skills. 
  • A strong understanding of the concepts associated with privacy and data security. 
  • Proven experience in mentoring and leading engineering teams. 
  • Familiarity with CI/CD pipelines and DevOps practices. 

Perks & Benefits

  • Annual salary increase review
  • End of the year bonus (Christmas bonus)
  • ESPP (Employee Stock Purchase Plan)
  • Paid day off for birthday
  • 15 days vacation per year
  • Insurance guaranteed for employees (Health, Oncological, Dental, Life)
  • No fee when using Ria service/wire transfers

We want Xe to be a great place to work and to ensure that our communities are represented across our workforce.  A vital part of this is ensuring we are a truly inclusive organisation that encourages diversity in all respects. 

At Xe we are committed to making our recruitment practices barrier-free and as accessible as possible for everyone.  This includes making adjustments or changes for disabled people, neurodiverse people or people with long-term health conditions. If you would like us to do anything differently during the application, interview or assessment process, including providing information in an alternative format, please contact us on recruitment@xe.com 

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14d

Senior ML & Data Engineer

XeEl Salvador, Remote
ML ● DevOPS ● Design ● mobile ● api ● docker ● python ● AWS ● backend

Xe is hiring a Remote Senior ML & Data Engineer

At XE, we live currencies. We provide a comprehensive range of currency services and products, including our Currency Converter, Market Analysis, Currency Data API and quick, easy, secure Money Transfers for individuals and businesses. We leverage technology to deliver these services through our website, mobile apps and by phone. Last year, we helped nearly 300 million people access information about the currencies that matter to them, and over 150,000 people used us to send money overseas. Thousands of businesses relied on us for information about the currency markets, advice on managing their foreign exchange risk or trusted us with their business-critical international payments. At XE, we share the belief that behind every currency exchange, query or transaction is a person or business trying to accomplish something important, so we work together to develop new and better currency services that put our customers first. We are proud to be part of Euronet Worldwide (Nasdaq: EEFT), a global leader in processing secure electronic financial transactions. Under Euronet, we have brought together our key brands – XE, HiFX and Currency Online– to become the business that XE is today.

The Senior ML and Data Engineer will be responsible for designing, building, and maintaining the infrastructure, platform, and processes required to successfully deploy and manage machine learning models in a production environment. This includes tasks such as developing Entity Resolution Solutions, building production features, and integrating ML solutions into production systems. 

This role will work closely with data scientists and software engineers to ensure that machine learning models can seamlessly integrate into existing systems and processes. The role will also be responsible for identifying and implementing best practices for managing and optimizing machine learning models in production. 

Thea ideal candidate for this role will have extensive experience in both software engineering and machine learning, as well as a deep understanding of the challenges and best practices involved in deploying machine learning models in production. Experience working with cloud computing platforms such as AWS or GCP is a plus. 

 

What You'll Do

  • Build and maintain production-level real-time and batch MLOps pipelines. 
  • Deploy backend and real-time machine learning features and models. 
  • Design and develop multiple ML microservices and APIs. 
  • Monitor and optimize the performance of machine learning systems in production. 
  • Work closely with data scientists and software engineers to ensure the successful integration of machine learning microservices into existing systems and processes. 
  • Mentor junior engineers and provide technical leadership within the team. 
  • Stay updated with the latest advancements in machine learning and data engineering technologies and methodologies. 

Who You Are

  • Degree in Computer Science, Software Engineering, or a related discipline. 
  • Extensive experience in developing and maintaining API services in a cloud environment. 
  • Strong object and service-oriented programming skills in Python to write efficient, scalable code. 
  • Knowledge of modern containerization techniques - Docker, Docker Compose. 
  • Experience with relational and unstructured databases and data lakes. 
  • An understanding of business goals and how data policies can affect them. 
  • Effective communication and collaboration skills. 
  • A strong understanding of the concepts associated with privacy and data security. 
  • Proven experience in mentoring and leading engineering teams. 
  • Familiarity with CI/CD pipelines and DevOps practices. 

We want Xe to be a great place to work and to ensure that our communities are represented across our workforce.  A vital part of this is ensuring we are a truly inclusive organisation that encourages diversity in all respects. 

At Xe we are committed to making our recruitment practices barrier-free and as accessible as possible for everyone.  This includes making adjustments or changes for disabled people, neurodiverse people or people with long-term health conditions. If you would like us to do anything differently during the application, interview or assessment process, including providing information in an alternative format, please contact us on recruitment@xe.com 

See more jobs at Xe

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14d

Senior Applied Scientist, Merchant Experience

WoltHelsinki, Finland, Remote
ML ● Sales ● sql ● Design ● python

Wolt is hiring a Remote Senior Applied Scientist, Merchant Experience

Job Description

Our Applied Scientists at Wolt design and deploy machine learning and applied science solutions that tackle some of our most complex business challenges. By leveraging advanced techniques like statistical analysis, machine learning, deep learning, and operations research, they enhance key processes across Wolt's platform and business operations, creating measurable impact in all 28 countries where we operate.

As an Applied Scientist, you’ll take ownership of use cases within a product development team—from identifying high-value opportunities to developing, prototyping, and deploying solutions, and ensuring they continuously improve in production. We work with a range of technologies, including Python, SQL, Snowflake, Flyte, MLflow, and Seldon Core, and always strive to optimize our workflows to support rapid experimentation and innovation.

We’re seeking an Applied Scientist to join our cross-functional Merchant Experience team within the Merchant Group. In close collaboration with software engineers, product managers, designers, and analysts, you’ll develop algorithms and data-driven solutions that empower our merchants with actionable insights. You’ll build machine learning models that deliver personalized recommendations for operational improvements and strategic product adoption, driving direct sales growth and enabling merchants to discover new opportunities and enhance performance.

????This role can be based in one of our tech hubs in Helsinki, Berlin, or Stockholm. Read more about our hybrid and remote setup here. 

Qualifications

We’re looking for an Applied Science enthusiast who is passionate about using data science to make a measurable impact. Here’s what we hope you bring:

  • Passion for Applied Science: You identify as a problem solver who loves leveraging data science and machine learning to drive business results and create real-world impact.

  • Expertise in Production-Ready ML Solutions: You know what it takes to build robust, scalable models suitable for large-scale deployments. You’re comfortable managing the entire lifecycle of data science projects, from ideation through to production and ongoing maintenance.

  • Strong Foundations in ML, Statistics, and Causal Inference: You bring a solid educational background and practical skills in machine learning, statistics, and causality, enabling you to design reliable and meaningful solutions.

  • Engineering Excellence: You’re skilled in writing production-level code and following engineering best practices, ensuring your solutions are efficient, maintainable, and scalable.

  • Clear Communication: You can effectively communicate complex technical concepts to non-technical audiences, bridging the gap between data science and business needs.

  • Analytical Problem-Solving: You excel at breaking down complex business challenges into clear, solvable machine learning problems, and designing data-driven solutions to address them.

  • Understanding of Experimental Design: You have a good grasp of experimental methodologies and analysis, allowing you to rigorously test and validate the impact of your solutions.

If you’re driven to make an impact through innovative machine learning solutions, we’d love to see how you can help us push boundaries!

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15d

Senior Manager, Data Engineering

ATPCO1Herndon, VA, Remote
ML ● S3 ● EC2 ● Lambda ● scala ● nosql ● sql ● Design ● azure ● api ● docker ● kubernetes ● python ● AWS

ATPCO1 is hiring a Remote Senior Manager, Data Engineering

Job Description

Position Summary 

As the Senior Manager of Data Engineering, you will be accountable for delivering impactful data solutions that align with company objectives. This includes strong collaboration with product, and analytics teams, with a focus on data-driven impact and scalability. In this role, you will lead the data engineering team, ensuring seamless execution of data roadmaps and fostering engineering excellence. As a leader of leaders, you will mentor managers, team leads, and architects, empowering them to build high-performing teams dedicated to creating valuable data products. 

What will you do: 

  • Work with Product and Analytics teams to define and implement a strategic data roadmap that includes advanced analytics and AI/ML capabilities. Champion data-mesh principles to enable decentralized ownership and accessibility across teams. 

  • Design and oversee scalable, robust data architectures and ETL pipelines, leveraging AWS services like Redshift, Glue, and Lambda, ensuring support for machine learning, advanced analytics, and governance. 

  • Partner closely with data scientists and analytics teams to create data infrastructures that support real-time analytics and ML model deployment, delivering actionable insights that drive business decisions. 

  • Drive initiatives to enhance data security, stability, and governance, establishing frameworks that uphold quality, consistency, and regulatory compliance across ATPCO’s data ecosystem. 

  • Mentor and lead multiple teams of data engineers and analytics professionals, fostering technical growth and a shared commitment to data quality. Encourage innovative approaches to data automation and performance tuning. 

  • Continuously refine data engineering practices for efficiency and resilience, optimizing workflows and monitoring costs within the AWS environment, with a focus on scalable, automated data solutions. 

  • Foster a culture that values innovation and experimentation, empowering teams to explore new techniques in data, analytics, and AI, including generative AI models. 

  • Ensure the operational health and performance of data products in cloud environments, maintaining high availability, fault tolerance, and performance optimization across all services. 

  • Establish a data lake, data mesh, and advanced data modeling-first approach, creating well-structured data practices with an API-driven methodology that improves usability and governance. 

  • Own and lead internal data analytics platforms, collaborating with finance and operations to identify cost optimization opportunities, manage data product P&L, and establish benchmarks for data-driven outcomes. 

 

 

 

 

What will make you a great fit: 

  • 7+ years of experience in data engineering roles focused on high-volume, complex data applications, with 5+ years in people leadership. 

  • Proven ability to build and manage high-quality data products and infrastructure, with experience leading cross-functional teams in complex data environments. 

  • Technical expertise in a wide range of AWS services, including Redshift, Glue, S3, Lambda, EMR, Kinesis, EC2, API Gateway, serverless technologies, and container services such as ECS and EKS, integrated with data orchestration tools. Proficiency in Python, SQL, or Scala, plus experience with ML frameworks. 

  • Experience with database management (RDBMS, NoSQL, graph databases) and big data frameworks, including Apache Spark and Hadoop, showcasing your ability to design and optimize complex data architectures and process large-scale data efficiently. 

  • Strong communication skills to align cross-functional teams and convey technical concepts to technical and non-technical stakeholders. 

  • Familiarity with airline or travel industry data needs is advantageous. 

  • Track record of fostering inclusive environments that encourage innovation, teamwork, and diverse perspectives. 

 

 

Other Preferred Qualifications: 

  • Proficiency in cloud-native data services (AWS, Azure, GCP) and container tools (Docker, Kubernetes) for scalable data infrastructure. 

  • Familiarity with cloud security best practices, ensuring the secure deployment and maintenance of data solutions. 

  • Commitment to advancing data engineering and analytics practices, ensuring cutting-edge solutions. 

Salary Range:  USD $163,900 to $193,000

*The disclosed range estimate has not been adjusted for applicable geographic differential associated with the location*

Qualifications

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16d

Vice President of Offensive Security Services & Research

Cobalt.ioRemote East Coast, US
ML ● Bachelor's degree ● c++

Cobalt.io is hiring a Remote Vice President of Offensive Security Services & Research

Vice President of Offensive Security Services and Research

Who We Are

Cobalt was founded on the belief of a fundamental human aspiration: the desire to live better and safer. It all started in 2013, when our founders realized that pentesting can be better. Today our diverse, fully remote team is committed to helping organizations of all sizes with seamless, effective and collaborative Offensive Security Testing that empower organizations to OPERATE FEARLESSLY and INNOVATE SECURELY.

Our customers can start a pen-test in as little as 24 hours and integrate with advanced development cycles thanks to the powerful combination of our SaaS platform coupled with an exclusive community of testers known as the Cobalt Core. Accepting just 5% of applicants, the Cobalt Core boasts over 400 closely vetted and highly skilled testers who jointly conduct thousands of tests each year and are at the forefront of identifying and helping remediate risk across a dynamically changing attack surface.

Cobalt is an Equal Opportunity Employer and we strive to build a diverse and inclusive workforce at our company. At Cobalt we aspire to engage with diverse individuals, communities, and organizations in order to continue to nurture our unique rich diverse culture. Join our team, and be your true self to do your best work. 

Description

The Vice President of Offensive Security Services & Research plays a pivotal role in shaping the organization's strategic direction. This executive leadership position involves collaborating with the CEO and other senior leaders to develop and implement long-term business strategies that drive growth, enhance competitive advantage, and ensure alignment with the organization's mission and vision.

What You'll Do

  • Set and execute strategy for our security services, security delivery, community, and research teams. 
  • Own and drive the standard of quality of our services. Regularly review/revise the guidelines and execution methodologies for our services to continue offering high-quality results.
  • Engage the Cobalt Core, ensuring that we recruit and retain the best security testers for our community. 
  • Work with product management and finance to price offerings and meet internal margin targets.
  • Work with product management to continuously innovate and execute our product strategy, particularly using automation and AI to improve our offerings.
  • Represent Cobalt at industry conferences and customer events.

You Have

  • Deep technical domain knowledge in offensive security
  • 7 + years experience delivering offensive security services, such as penetration testing, red teaming, and vulnerability assessments
  • Experience managing and developing high performing teams 
  • Experience launching and growing a cybersecurity product or service and managing the P&L
  • Ability to create business cases for investment decisions and work cross functionally to prioritize investments and launch new products
  • Dynamic public speaker with excellent communication and presentation skills
  • Experience with open source software, threat detection, and test content generation 

Nice to Have

  • Experience building a community of cybersecurity professionals 
  • Experience working with AI and ML tools to improve security offerings
  • Experience leading internal security and IT teams
  • Located in the USA's East Coast timezone

As part of our committed team, you will enjoy

  • Competitive compensation package commensurate with experience.
  • Comprehensive health, dental, and vision benefits.
  • The chance to work closely with visionary leaders and industry experts.
  • A collaborative and inclusive work culture that values your contributions.
  • Opportunities for professional development and growth within the organization.

Pay Disclosure

Cobalt is committed to fair and equitable compensation practices. The salary range for this role is ($200,000 - $300,000) per year + equity + benefits. A candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, and certifications.  The salary range may differ in other states and be impacted by proximity to major metropolitan cities. 

Diversity at Cobalt

With over 45 nationalities already at Cobalt (and counting), we respect and celebrate diversity! We’re proudly committed to equal employment opportunities regardless of your gender, religion, age, sexual orientation, ethnicity, disability, or place of origin. We support each other and are grateful for each Cobalter's contribution to our mission — let's make security dance! Please apply even if you don't meet all the criteria above but are still interested in the job. Nobody checks every box, and we're looking for someone excited to join the team.

Cobalt is an E-Verify employer. E-Verify is an Internet-based system operated by the Department of Homeland Security (DHS) in partnership with the Social Security Administration (SSA). It allows participating employers to electronically verify the employment eligibility of their newly hired employees in the United States.

Cobalt (the "Company") is an equal opportunity employer, and we want the best available persons for every job. The Company makes employment decisions only based on merit. It is the Company's policy to prohibit discrimination in any employment opportunity (including but not limited to recruitment, employment, promotion, salary increases, benefits, termination and all other terms and conditions of employment) based on race, color, sex, sexual orientation, gender, gender identity, gender expression, genetic information, pregnancy, religious creed, national origin, ancestry, age, physical/mental disability, medical condition, marital/domestic partner status, military and veteran status, height, weight or any other such characteristic protected by federal, state or local law. The Company is committed to complying with all applicable laws and providing equal employment opportunities. This commitment applies to all persons involved in the operations of the Company regardless of where the employee is located and prohibits unlawful discrimination by any employee of the Company.

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16d

Staff Software Engineer, ML Services

ecobeeRemote in Canada
ML ● DevOPS ● RabbitMQ ● Design ● mobile ● azure ● java ● python ● AWS ● Node.js

ecobee is hiring a Remote Staff Software Engineer, ML Services

Hi, we are ecobee. 

ecobee introduced the world’s first smart Wi-Fi thermostat to help millions of consumers save money, conserve energy, and bring home automation into their lives. That was just the beginning. We continue our pursuit to create technology that brings peace of mind into the home and allows people to focus on the moments that matter most. We take pride in making a meaningful difference to the environment, all while being part of the exciting, connected home revolution. 

In 2021, ecobee became a subsidiary of Generac Power Systems.Generac introduced the first affordable backup generator and later created the category of automatic home standby generator. The company is committed to sustainable, cleaner energy products poised to revolutionize the 21st century electrical grid. Together,we take pride in making a meaningful difference to the environment.

Why we love to do what we do: 

We’re helping build the world of tomorrow with solutions that improve everyday life while making a positive impact on the planet. Our products and services work in harmony to provide comfort, efficiency, and peace of mind for millions of homes and businesses. While we’re proud of what we’ve done so far, there’s still a lot we can do—and you can be part of it.  

Join our extraordinary team. 

We're a rapidly growing global tech company headquartered in Canada, in the heart of downtown Toronto, with a satellite office in Leeds, UK (and remote ecopeeps in the US). We get to work with some of North America and UK's leading professionals. Our colleagues are proud to bring their authentic selves to work, confident that what we do is grounded in a greater purpose. We’re always looking for curious, talented, and passionate people to join our team.

This role is open to being 100% remote within Canada while our home office is located in Toronto, Ontario. You may be required to travel to Toronto once per quarter for team and/or company events.  

Who You’ll Be Joining:

You will be part of the dynamic data engineering and machine learning services group at ecobee focused on leveraging data to enhance the smart home experience for customers. This team is responsible for building and maintaining the data infrastructure and machine learning capabilities that power intelligent features across ecobee’s product ecosystem, such as integrated AI services, energy optimization, home automation, personalized climate control, predictive maintenance.

How You’ll Make an Impact:   

  • Design Scalable Product Architecture: Develop robust, scalable architectures that support machine learning capabilities within the Energy and Smart Security business at ecobee, integrating multiple data sources (thermostat telemetry, geofence signals, motion events, etc.) while ensuring designs fit seamlessly with ecobee’s broader architecture and meet long-term scalability needs.
  • Complex Problem Solving: Tackle high-complexity problems that require detailed cross-domain knowledge, addressing significant ambiguity, and working with incomplete data. Collaborate across teams to solve challenges where solutions impact multiple domains.
  • Architectural Impact: Contribute to ecobee’s system architecture with designs that have been battle-tested, resulting in significant, long-lasting impact within a specific domain. Solutions are expected to integrate elegantly with ecobee’s broader enterprise architecture and align with company-wide standards.
  • Enterprise-Wide Architecture: Start to think beyond individual components or domains, considering ecobee’s broader architectural strategy. Collaborate with principal engineers and directors to ensure designs complement the company’s vision.
  • Ownership & Delivery: Take end-to-end ownership of full components within your domain of expertise, ensuring that their design, implementation, testing, deployment, and operations meet high standards. These components will likely interact with systems in other domains, requiring careful consideration of cross-team dependencies.
  • Code Quality & Debugging: Consistently deliver high-quality, maintainable code. Lead by example in debugging tough, stack-wide issues, finding root causes, and implementing effective solutions.
  • Forward-Thinking & Strategic Initiatives: Anticipate future challenges and propose technical solutions that prevent future roadblocks. Participate in evaluating and recommending new technologies and frameworks for the product group.
  • Mentorship & Collaboration: Actively mentor other engineers, guiding them toward concrete goals and fostering a culture of feedback and knowledge sharing. Lead or participate in design reviews, post-mortems, and code reviews.
  • Innovation & Impact: Drive innovative improvements to processes and best practices across the engineering organization. Contribute to novel solutions that influence ecobee’s engineering direction and deliver measurable, high-impact results across multiple teams and domains.
  • Cross-team Collaboration: Facilitate and lead discussions across squads, ensuring inclusive decision-making processes and cross-functional buy-in on technical solutions and business decisions. Serve as a trusted advisor and leader within ecobee’s engineering community.

What You’ll Bring to the Table:    

  • 10+ years of experience in software engineering, with a proven track record of owning and delivering complex, cross-domain projects at scale.
  • Expertise in system design, architecture, and the development of large-scale, high-availability and security systems.
  • Very high proficiency in multiple programming languages and frameworks including Python, Java, Go, Node.js, etc.
  • Expertise in messaging queue processing (e.g., RabbitMQ, Kafka) and real-time data handling.
  • Experience with device telemetry, understanding its limits, and how to design systems that effectively use telemetry data to enhance functionality.
  • Experience working with with deep learning architectures and frameworks (e.g. Pytorch, Tensorflow) and leveraging such frameworks to build scalable features
  • Familiarity with MLOps stacks like Kubeflow, MLFlow, Sagemaker and proven experience in deploying machine learning features at scale
  • Experience working with cloud platforms such as AWS, Azure, or Google Cloud.
  • Experience optimizing database performance and system tuning, ensuring that database and application interactions are fast, reliable, and scalable.
  • Demonstrated ability to debug tough, stack-wide issues across multiple environments, finding root causes and implementing long-term fixes.
  • Demonstrated ability to mentor, lead technical discussions, and contribute to a collaborative engineering culture.
  • Experience with DevOps principles, CI/CD pipelines, and ensuring operational excellence.
  • Familiarity with IoT technologies and connected devices is an asset.
  • Strong debugging skills, with experience solving complex, stack-wide issues that involve mobile devices and cloud-based services.

Just so you know: The hired candidate will be required to complete a background check. 

What happens after you apply:   

Application review. It will happen. By an actual person in Talent Acquisition. We get upwards of 100+ applications for some roles, it can take a few days, but every applicant can expect a note regarding their application status.  

Interview Process:  

  • A 30-minute phone call with a member of Talent Acquisition  
  • 45 minutes interview with the candidate with Director of Engineering. This is to discuss experience designing and building scalable data architectures, pipelines, and processing systems.
  • 90 minutes with staff and senior engineers for technical interview on System Design & Architecture and coding challenge
  • The final interview will be a 90 minutes interview divided into two parts where you will meet with the Director and VP of Engineering

With ecobee, you’ll have the opportunity to: 

  • Be part of something big: Get to work in a fresh, dynamic, and ever-growing industry.  
  • Make a difference for the environment: Make a sustainable impact while on your daily job, and after it through programs like ecobee acts. 
  • Expand your career: Learn with our in-house learning enablement team, and enjoy our generous professional learning budget. 
  • Put people first: Benefit from competitive salaries, health benefits, and a progressive Parental Top-Up Program (75% top-up or five bonus days off). 
  • Play a part on an exceptional culture: Enjoy a fun and casual workplace with an open concept office, located at Queens Quay W & York St.ecobeeLeeds is based at our riverside office on the Calls. 
  • Celebrate diversity: Be part of a truly welcoming workplace. We offer a mentorship program and bias training.  

Are you interested? Let's make it work. 

Our people are empowered to take ownership of their schedules with workflows that allow for flexible hours. Based on your job, you have an option of a office-based, fully remote, or hybrid work environment. New team members working remotely, will have all necessary equipment provided and shipped to them, and we conduct our interviews and onboarding sessions primarily through video.

We’re committed to inclusion and accommodation. 

ecobee believes that openness and diversity make us better. We welcome applicants from all backgrounds to apply regardless of race, gender, age, religion, identity, or any other aspect which makes them unique. Accommodations can be made upon request for candidates taking part in all aspects of the selection process. Our recruitment team is happy to answer any questions candidates may have about virtual interviewing, onboarding, and future work locations.

We’re up to incredible things. Come and be part of them. 

Discover our products and services and learn more about who we are.  

Ready to join ecobee? View current openings. 

Please note, ecobee does not accept unsolicited resumes.   

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