Upwork ($UPWK) is the world’s work marketplace. We serve everyone from one-person startups to large, Fortune 100 enterprises with a powerful, trust-driven platform that enables companies and talent to work together in new ways that unlock their potential.

Last year, more than $3.8 billion of work was done through Upwork by skilled professionals who are gaining more control by finding work they are passionate about and innovating their careers.

The Machine Learning Infrastructure & Data team is responsible for architecting and building the foundational systems and tools that enable efficient development, deployment, and management of machine learning models at scale.

As a Senior ML Infra Engineer in the Machine Learning Infrastructure & Data team, you will play a pivotal role in designing, developing, and maintaining robust and scalable infrastructure components to support the company's machine learning initiatives. You will collaborate closely with cross-functional teams including machine learning researchers, data scientists, and software engineers to build state-of-the-art platforms and tools that accelerate the development and deployment of machine learning models.

Your Responsibilities:

• Design, implement, and optimize distributed systems and infrastructure components to support large-scale machine learning workflows, including data ingestion, feature engineering, model training, and serving.
• Develop and maintain frameworks, libraries, and tools to streamline the end-to-end machine learning lifecycle, from data preparation and experimentation to model deployment and monitoring.
• Architect and implement highly available, fault-tolerant, and secure systems that meet the performance and scalability requirements of production machine learning workloads.
• Collaborate with machine learning researchers and data scientists to understand their requirements and translate them into scalable and efficient software solutions.
• Stay current with the latest advancements in machine learning infrastructure, distributed computing, and cloud technologies, and integrate them into our platform to drive innovation.
• Mentor junior engineers, conduct code reviews, and uphold engineering best practices to ensure the delivery of high-quality software solutions.

What it takes to catch our eye:

• Passion for ML Infrastructure: We value enthusiasm for advancing ML infrastructure.
• Proven Impact: Show us your track record of delivering impactful solutions.
• Innovative Thinker: Bring creativity and fresh ideas to the table.
• Technical Proficiency: Solid foundation in software engineering and ML concepts.
• Collaborative Mindset: Strong communication and teamwork skills are a must.
• Continuous Learner: Stay updated with the latest advancements in the field.
• Problem-Solving Skills: Ability to tackle complex problems effectively.
• Adaptability: Thrive in a fast-paced, dynamic environment.

The annual base salary for this position in California and Washington ranges from $144000 - $230000. The range displayed reflects the minimum and maximum salary for this position in California and Washington, and individual base pay will depend on your skills, qualifications, experience, and location. Additionally, this position is eligible for the annual bonus plan or sales incentive plan and eligibility to participate in our long term equity incentive program.

Come change how the world works.

At Upwork, you’ll shape talent solutions for how the world works today. We are a remote-first organization working together to create exciting remote work opportunities for a global community of professionals. While we have physical offices in San Francisco and Chicago, currently we also hire full-time employees in 19 states in the United States. 

At the core of our vibrant culture are shared values that form the foundation of our organization. These values revolve around trust, risk-taking, customer focus, and excellence. Our overarching mission is to create economic opportunities so that people have better lives. We foster an environment where individuals are encouraged to bring their authentic selves to work, nurturing personal and professional growth through development opportunities, mentorship programs, and participation in Upwork Belonging Communities.

We take pride in providing exceptional benefits to our employees. These include comprehensive medical insurance coverage for both you and your family, unlimited paid time off, a 401(k) plan with matching contributions, 12 weeks of paid parental leave, and an Employee Stock Purchase Plan. To explore these benefits in detail, as well as gain insights into our company values, working principles, and the overall employee experience, we invite you to visit our Life at Upwork page.

Check out our Careers page to learn more about the employee experience.   

Upwork is proudly committed to recruiting and retaining a diverse and inclusive workforce. As an Equal Opportunity Employer, we never discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical condition), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Additionally, a criminal background check may be run on a candidate after a conditional offer of employment is made. Qualified applicants with arrest or conviction records will be considered in accordance with applicable law, including the California Fair Chance Act and local Fair Chance ordinances.

About the Team

The mission of the ML Platform team at Stitch Fix is to build exceptional systems for deploying and serving machine learning models in production. As a member of this team, you will help develop APIs, systems, and platforms that unlock critical algorithmic capabilities. You will also create self-service tools and platforms to empower our data scientists with scalable research and development capabilities.

We are passionate about crafting elegant, scalable abstractions that stand the test of time. Our work is centered on reducing friction for colleagues running production algorithms, ultimately enhancing the velocity at which the business can innovate and grow.

About the Role

As an ML Platform Engineer at Stitch Fix, you will play a key role in building and maintaining the critical infrastructure that powers machine learning across our organization. You will design, develop, and support scalable, resilient services and frameworks for ML model training and deployment.

In this role, you'll contribute to the day-to-day operations of the ML Platform team, ensuring the smooth functioning of existing systems while driving improvements. You’ll collaborate closely with full-stack data scientists, offering consultation and support to help them unlock the full potential of our platform.

With significant autonomy, you’ll have the opportunity to shape the future of ML at Stitch Fix. Your ideas and expertise will drive improvements, codify best practices, and influence how we approach machine learning infrastructure and operations.

You're excited about this opportunity because you will…

• Collaborate with cross-functional teams, including data scientists, engineers, and business partners, to solve complex distributed systems and business challenges at scale.
• Be part of a team with high visibility across the organization, driving impactful solutions that make a difference.
• Share your ideas and help guide the team’s investments toward high-value opportunities.
• Foster a culture of technical collaboration and contribute to the development of scalable, resilient systems.

We’re excited about you because…

• You bring 1–3 years of experience in software development, with a focus on data and ML infrastructure.
• You have a proven track record of building scalable, distributed production systems.
• Your coding and design skills are exceptional. While Python and Java are our primary tools, your overall engineering expertise and problem-solving abilities matter most.
• You’re proficient in leveraging big data technologies such as Kafka, Spark, Hive/Iceberg, Postgres, Redis, and similar tools.
• You have hands-on experience with AWS or other cloud-based providers.
• You excel at thinking globally, developing solutions that address multiple needs while prioritizing business impact.
• Your strong cross-functional communication skills enable you to simplify complex challenges and collaborate effectively with business partners to drive solutions forward.

Why you'll love working at Stitch Fix...

• We are a group of bright, kind people who are motivated by challenge. We value integrity, innovation and trust. You’ll bring these characteristics to life in everything you do at Stitch Fix.
• We cultivate a community of diverse perspectives— all voices are heard and valued.
• We are an innovative company and leverage our strengths in fashion and tech to disrupt the future of retail. 
• We win as a team, commit to our work, and celebrate grit together because we value strong relationships.
• We boldly create the future while keeping equity and sustainability at the center of all that we do. 
• We are the owners of our work and are energized by solving problems through a growth mindset lens. We think broadly and creatively through every situation to create meaningful impact.
• We offer comprehensive compensation packages and inclusive health and wellness benefits.

Overview

About the Role

As a Machine Learning Engineer, you will apply machine learning to create and optimize solutions in impactful areas such as incentives targeting. Through continuous innovations and improvements, your work will be instrumental in driving sustainable growth.

About the Team 

Our team comprises highly skilled Machine Learning Engineers focused on ML-driven systems such as incentive optimization, contributing to Instacart’s growth.

About the Job 

Design, develop, and deploy machine learning solutions to tackle practical problems.Collaborate closely with product managers, data scientists, and backend engineers to ensure the ML solutions are well-integrated and aligned with business goals.Improve the reliability and scalability of our ML systems.

About You

Minimum Qualifications

MS or PhD in Computer Science/Engineering or a related field, with 0-3+ years of industry experience focused on machine learning.Strong programming skills in PythonFluency in data manipulation (e.g., SQL, Spark) and machine learning tools (e.g., scikit-learn, Tensorflow and Pytorch).Have strong analytical skills and problem-solving abilitySelf-motivated individual with a strong ownership mindsetStrong communicator who can collaborate with diverse stakeholders

Preferred Qualifications

1+ years of industry experience in productionizing large-scale machine learning models and systemsProven track record of sovling impactful problems with urgency and qualityKnowledge of deep learning frameworks and methodologies.

Overview

About the Role

As a Senior Machine Learning Engineer, you will leverage your deep technical expertise to tackle critical and complex problems within our marketplace systems. You will apply machine learning to create and optimize solutions in impactful areas such as delivery ETA, pricing, and incentives targeting. Through continuous innovations and improvements, your work will be instrumental in driving sustainable growth.

About the Team 

Our team comprises highly skilled Machine Learning Engineers and ML Infrastructure Backend Engineers focused on ML-driven systems such as ETA prediction, pricing elasticity modeling, and incentives optimization and personalization. The team thrives on innovation and collaboration, driving advancements that directly affect Instacart’s growth and efficiency.

About the Job 

Design, develop, and deploy machine learning solutions to tackle practical challenges in the marketplace.Collaborate closely with product managers, data scientists, and backend engineers to deeply understand business needs and create impactful ML applications.Actively engage with diverse stakeholders to ensure that solutions are well-integrated and aligned with business goals.Push the envelope on our operational efficiency by continually refining and advancing our algorithms and models.

About You

Minimum Qualifications

MS or PhD in Computer Science/Engineering or a related field, with 0-3+ years of industry experience focused on machine learning.Strong programming skills in Python, Java, or other relevant languages Fluency in data manipulation (e.g., SQL, Spark, Pandas) and machine learning tools (e.g., scikit-learn, XGBoost, Tensorflow and Pytorch).Have strong analytical skills and problem-solving abilitySelf-motivated individual with a strong ownership mindsetStrong communicator who can collaborate with diverse stakeholders

Preferred Qualifications

Experience with managing large-scale machine learning model training and deployment.Knowledge of deep learning frameworks and methodologies.Proven track record of effectively identifying and addressing high-impact problems with solutions that balance urgency and quality.

About the Role: 

Tubi's ambitious Discovery & AI team is seeking two Data Scientists. These roles require cross-functional collaboration across Product, Engineering, Content, and Data to support the company’s most cutting-edge initiatives. You will improve user experiences for both new and returning users by applying ML and AI. You will lead a diverse set of projects, providing insights and recommendations to inform data-driven decisions that drive our recommender systems. You will have a valued voice in the future of our personalization platforms.

Responsibilities:

• Apply statistical rigor, metric alignment, transparency, and effectiveness to Tubi’s decision-making process
• Help the Machine Learning team refine their recommendation models to elevate user experiences
• Identify the best strategies to optimize the experiences of new and returning users
• Evaluate experiment designs, including pre-test planning, in-flight monitoring, and post-experiment analysis for graduation decisions
• Collaborate with cross-functional teams to build pipelines and tools and make business-impacting decisions

Your Background:

• Strong technical experience in a Data Science role, emphasizing user journey initiatives, recommendations, and personalization
• Experience with product analytics and working with event-level data
• Advanced proficiency in programming and data manipulation using SQL, Python, and/or Spark
• Strong analytical skills with proficiency in statistical analysis and the ability to derive insights from large datasets
• Excellent communication, presentation, and collaboration skills
• Ability to present complex findings in a structured and transparent manner to non-technical stakeholders
• Video streaming industry experience is a plus

Pursuant to state and local pay disclosure requirements, the pay range for this role, with final offer amount dependent on education, skills, experience, and location is listed annually below. This role is also eligible for an annual discretionary bonus, long-term incentive plan, and various benefits including medical/dental/vision, insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents.

California, New York City, Westchester County, NY, and Seattle, WA Compensation

Base ($122,000 to $174,000 / year) + Bonus + Long-Term Incentive Plan + Benefits

Colorado and Washington (excluding Seattle, WA) Compensation

Base ($110,000 to $157,000 / year) + Bonus + Long-Term Incentive Plan + Benefits

#LI-MQ1 #LI-Remote

Waymo's People team recruits and supports the world's best talent (including, we hope, you). Our HR business partners, program administrators, staffers, and compensation specialists help our employees attain their full potential in a healthy, considerate and supportive environment. We take our role as champions of Equity, Inclusion, and Diversity (EID) and stewards of the unique Waymo culture seriously.

You will report to our Recruiting Lead for Engineering and be based Remotely.

You will:

• Be responsible for candidate screening and interview preparation
• Partner with hiring managers to define the search and manage the pipeline
• Negotiate and close offers
• Execute hiring processes
• Source candidates
• Share candidates across open roles at Waymo

You have:

• 7+ Years of experience doing full lifecycle technical recruiting including experience working for international companies.
• Familiarity with software engineering hiring profiles
• Aptitude for technical terminology and concepts
• Proven success closing candidates
• Experience working directly with senior engineering leadership
• Experience owning and improving hiring process
• Experience working in a startup or fast paced hiring environment
• Excellent communication skills.

We prefer:

• Experience recruiting for machine learning engineers
• Passion for robotics, autonomy, ML
• Experience hiring for engineers at top tier global companies

#LI-Remote

The Role:

Podium is looking for a talented Senior Software Engineer with expertise/interest in building agentic applications using large language models (LLMs). In this role, you will be joining a team of smart and dedicated engineers tasked with empowering local businesses by creating AI agents that efficiently handle customer interactions to optimize operations and reclaim valuable time. If you are passionate about tackling complex challenges, thrive in a fast-paced, iterative environment, and have a knack for breaking down intricate problems, we think you’ll be a great fit.

What you will be doing:

• Develop and deploy advanced agentic applications powered by large language models to help local businesses automate interactions and manage leads.
• Drive the entire lifecycle of AI agent development, from conception and design to implementation and maintenance.
• Engage in rapid prototyping and iterative development to refine AI solutions based on real-world performance and feedback.
• Implement monitoring and evaluation systems to track the effectiveness of AI agents in production, ensuring high reliability and user satisfaction.
• Contribute to a culture of innovation by staying current with industry trends in generative AI and applying cutting-edge research to practical business solutions.

What you should have:

• 8+ years of hands-on programming experience with at least one modern language such as Python, Go, or Elixir.
• Strong analytical and problem-solving skills, with a proven ability to decompose complex issues and drive innovation in a highly iterative development process.
• Excellent communication skills and the ability to work effectively in a team setting, as well as to articulate technical concepts to diverse audiences.
• Ability to solve ambiguous problems and thrive in a fast-paced environment.

What we hope you have:

• 8+ years of experience contributing to the architecture and design of large scale distributed systems and/or ML systems and tools.
• Hand-on experience training, fine tuning, and/or deploying LLM applications in production environments.
• Proficiency in Python, with a track record of developing AI-driven applications using this language.
• Exceptional writing abilities with the capacity to craft and optimize prompts for generative AI models.
• Experience with deploying, monitoring, debugging, and evaluating AI agents in production environments is a huge bonus.
• Knowledge of machine learning operations (MLOps) practices.

BENEFITS

• Open and transparent culture 
• Life insurance, long and short-term disability coverage
• Paid maternity and paternity leave
• Fertility Benefits
• Generous vacation time, plus three 4-day summer holiday weekends
• Excellent medical, dental, and vision benefits
• 401k Plan with company matching
• Bi-annual swag drops with cool Podium gear and apparel 
• A stellar HQ (Utah) gym with local professional coaches and classes offered
• Onsite HQ (Utah) child care center, subsidized for employees

Podium is an equal opportunity employer. Podium provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status.

Grammarly offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture.

About Grammarly

Grammarly is the world’s leading AI writing assistance company trusted by over 40 million people and 50,000 organizations.From instantly creating a first draft to perfecting every message, Grammarly helps people at 96% of theFortune 500 and teams at companies like Atlassian, Databricks, and Zoom get their point across—and get results—with best-in-class security practices that keep data private and protected. Founded in 2009, Grammarly is No. 14 on the Forbes Cloud 100, one of TIME’s 100 Most Influential Companies, one of Fast Company’s Most Innovative Companies in AI, and one of Inc.’s Best Workplaces.

The Opportunity

To achieve our ambitious goals, we’re looking for a Director of Engineering, Growth Platform to join our Growth Engineering organization. This role will lead the engineering team that designs, builds, and maintains scalable growth platforms to drive user acquisition, engagement, retention, and monetization. This role combines strategic leadership with hands-on technical expertise to ensure the success of growth initiatives through data-driven platforms, ML, AI, and tools that enable seamless experimentation, personalization, and automation at scale.

Grammarly’s engineers and researchers have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure. You can hear more from our team on our technical blog.

As an engineering leader of the Growth platform team, your key responsibilities include:

• Leadership and strategy to define and execute the technical strategy.
• Platform development and optimization to oversee the design, development, and deployment of scalable platforms using ML, AI, and data-driven solutions.
• Collaboration and stakeholder management across multiple teams, functions, and leadership.
• Technical execution with cutting-edge technologies using machine learning, artificial intelligence, Data platforms, and large-scale distributed systems.
• In your first 30 days, you should be able to successfully complete your orientation, learn, integrate with the team effectively, evaluate the current state, and deliver some quick wins.
• In your first 60 days, you should be able to develop a roadmap, optimize the team, get involved in technical contributions, collaborate with stakeholders, and be deeply involved in current systems.
• In your first 90 days, you should be able to execute the roadmap, establish metrics and technical excellence, foster team growth, create cross-functional impact, and lead strategic planning.

Qualifications

• 10+ years of experience in software engineering or ML engineering, with at least 5 years in a leadership role.
• Proven track record of leading and managing engineering teams to deliver high-impact projects.
• Strong organizational and problem-solving skills with an ability to prioritize and manage multiple initiatives simultaneously.
• Extensive experience in software engineering and ML engineering, focusing on growth, experimentation platforms, and scalable back-end systems.
• Familiarity with A/B testing frameworks, growth loops, and personalization engines.
• Proven track record of leading and managing engineering teams to deliver high-impact projects.
• Strong organizational and problem-solving skills with an ability to prioritize and manage multiple initiatives simultaneously.
• Previous experience in growth-focused roles or working with growth platforms is highly desirable.
• Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
• Is inspired by our MOVE principles: move fast and learn faster; obsess about creating customer value; value impact over activity; and embrace healthy disagreement rooted in trust.

Compensation and Benefits

Grammarly offers all team members competitive pay along with a benefits package encompassing the following and more: 

• Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)
• Disability and life insurance options
• 401(k) and RRSP matching 
• Paid parental leave
• 20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and flexible sick time
• Generous stipends (including those for caregiving, pet care, wellness, your home office, and more)
• Annual professional development budget and opportunities

Grammarly takes a market-based approach to compensation, which means base pay may vary depending on your location. Our US locations are categorized into two compensation zones based on proximity to our hub locations.

Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position are outlined below by compensation zone and may be modified in the future. 

Zone 1: $324,000 - $446,000/year (USD)

We encourage you to apply

At Grammarly, we value our differences, and we encourage all to apply—especially those whose identities are traditionally underrepresented in tech organizations. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Grammarly is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada).

#LI-PM1

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

Your impact

At Handshake, we are building a team of engineers dedicated to creating impactful, high-quality products. As a Staff Data Architect, you will drive the architectural vision, strategic direction, and evolution of our advanced data platform. Your leadership and expertise will directly influence how millions of students discover meaningful career opportunities, breaking down barriers related to education, network, and resources.

Our core objective is to build robust pathways on top of our base data platform that enables cross-functional teams to create data-driven features while ensuring accurate, timely, and secure data access across the organization. Your role will be central to realizing this vision by establishing resilient, scalable data architecture pathways that guide the company in making data-informed decisions.

Your role

In this role, you will be responsible for:

• Technical Leadership and Strategy: Leading the data engineering function at an architectural level. Defining best practices and setting long-term vision for the data ecosystem. You will mentor, guide, and collaborate with the data and product engineering teams, helping to elevate their technical capabilities while fostering a culture of continuous improvement.
• Data Architecture and Solution Design: Architecting scalable, reliable, and efficient data pipelines, services, and products that meet diverse business needs. Building on the foundations we have built, and leveraging deep knowledge of emerging technologies, you’ll make strategic recommendations and implement systems aligned with industry best practices to ensure the scalability, security, and resilience of our data platform.
• Cross-functional Collaboration: Partnering with product managers, engineering leads, and other stakeholders to define data architecture requirements that align with business goals. You will ensure data solutions are well-integrated into the broader technology landscape and drive the development of innovative, data-driven features.
• Performance and Optimization: Leading efforts to identify and resolve performance bottlenecks, ensuring data processing systems are highly optimized for both performance and cost-effectiveness.
• Data Quality, Governance, and Compliance: Establishing and implementing data governance frameworks to ensure data reliability, security, and regulatory compliance. You will lead initiatives to monitor, enforce, and enhance data quality across the platform, and help build out a strategy that solves data access across all facets of our organization

Your experience

To excel in this role, you should possess:

• Deep Data Engineering and Architecture Expertise: Extensive experience in architecting and implementing complex, large-scale data platforms, including data warehousing solutions and scalable data services. Mastery of data engineering tools, technologies, and best practices, with a demonstrated ability to design end-to-end data ecosystems.
• Cloud Platform Proficiency: Significant hands-on experience with cloud-based data technologies, preferably within Google Cloud Platform (GCP), including BigQuery, DataFlow, BigTable, and related tools.
• Strategic Problem-solving Skills: Strong analytical abilities and a track record of tackling complex data challenges with innovative, strategic solutions that enhance the efficiency, reliability, and scalability of data platforms.
• Influential Collaboration: An ability to engage and influence both technical and non-technical stakeholders through clear communication and a team-oriented approach, ensuring alignment across departments.
• Strong Programming and Data Modeling Skills: Proficiency in Python and SQL, with a strong understanding of data modeling principles and the ability to implement complex transformations in support of analytics and business intelligence needs.

Bonus areas of expertise

Experience in any of the following areas would be advantageous:

• Advanced Technologies: Proficiency with Go programming language, dbt for data transformations, containerization (Docker), and orchestration (Kubernetes).
• Data Analytics Solutions: Designing and implementing analytic solutions for both internal and external customers of the data platform, working across departments to drive large initiatives forward
• Machine Learning Collaboration: Experience with machine learning teams, interfacing and facilitating infrastructure and pipelines to accelerate our ML efforts

Compensation range

$235,000 - $260,000

Job Title : Staff Software Engineer 

About Us

Acquia is an open digital experience company. We provide the world's most ambitious brands with technology that allows them to embrace innovation and create customer moments that matter. At Acquia we believe in the power of community and collaboration - giving our customers the freedom to build tomorrow on their terms.

Headquartered in Boston, we have been named as one of North America’s fastest growing software companies as reported by Deloitte and Inc. Magazine, and have been rated a leader by the analyst community and named one of the Best Places to Work by the Boston Business Journal. We are Acquia. We are building for the future of the web, and we want you to be a part of it.

Role Overview

Acquia is seeking a Staff Software Engineer to join our AI Services team focused on building Application and APIs around AI which can be leveraged by other teams and Acquia Productto enhance the value of the overall digital experience platform (DXP). We thrive on innovation, collaboration, and an agile mindset and processes. An ability to quickly prototype, learn, and iterate on concepts is critical for this role.

The AI Services team is part of Foundation Services group and builds product offerings on top of Foundation Infrastructureservices.

Key Responsibilities

• Work with Product, Engineering and Architecture teams to gather requirements and identify opportunities to add value by extending existing AI services or building new ones.
• Draft RFCs and propose solution design. Lead discussions with other stakeholders to get reviews, reach a consensus and approvals. 
• Break complex problems in smaller manageable units. Contribute in coding, PR reviews, documentation, and automated tests that deliver on Sprint goals.
• Ensure compliance requirements, CICD, coding, operations, security best practices are followed.
• Participate in experimentation and prototype building in a collaborative environment, iterating on concepts based on feedback
• Contribute as needed to the core architectural platform and libraries used by all teams in the interest of the stability, robustness, cost effectiveness, and performance of consuming applications and services.
• Work with Engineering leadership to design and document a technical vision for the team that will produce stable, competitive products in the marketplace.
• Encourage a culture of observability by ensuring logging and monitoring of applications and services is being configured appropriately to provide visibility into system performance consistent with SLIs/SLOs/SLAs and enable effective troubleshooting
• Address security vulnerabilities as needed
• Work with your team to understand and implement R&D Standards.

Mentor and train other team members on important technical topics through team meetings, pair programming, lunch 'n learns, etc. as needed.

• Collaborate with the architecture team to ensure the platform we are building is consistent with the overarching architectural goals at Acquia
• Ensure software systems comply with contractual RTO and RPO requirements

Preferred Qualifications

You will be successful if you:

• Are a continuous learner who is able learn through online trainings, books and podcasts as the AI landscape is rapidly evolving
• Are comfortable with ambiguity and working in a fast-paced environment 
• Balance critical thinking with creative problem-solving 
• Make informed decisions, balancing quantitative and qualitative reasoning
• Have the ability to drive desired customer outcomes by learning and understanding the problems being solved.

Requirements

• 8+ years of relevant experience
• Experience working with Python, Java, Vector database and SQL
• Base knowledge of machine learning: non-generative ML models, LLMs and data embeddings
• Experience writing and consuming REST APIs

Experience managing applications in a kubernetes environment

• Experience with Git

Experience working with any cloud platform AWS/ Azure/ GCP

• Experience working with CI/CD tools (i.e. Jenkins)
• Experience writing automated test
• Ability to learn and adapt to new technologies quickly and become productive in their use
• Working knowledge of software design principles and programming languages and frameworks in use
• Strong knowledge of software development security principles, concepts and best practices
• Strong understanding of software architecture and the tradeoffs between different architectural patterns
  
  

Nice to have…

• Experience working with Snowflake
• Experience writing SaaS applications in a distributed microservice ecosystem
• Experience working with Elasticsearch or other NoSQL data stores
• Experience with PHP and Drupal
• Experience working with Gradle 
• Nice to have experience in RAG (Retrieval-Augmented Generation)

Personal Attributes

• Excellent communication skills and the ability to work collaboratively in a team environment.
• Strong attention to detail and a commitment to quality.
• Ability to manage multiple tasks efficiently and quickly adapt to new technologies.
• A passion for continuous learning and personal growth, especially through online training, books, and podcasts, to keep pace with the rapidly evolving AI landscape.
• Comfortable with ambiguity and capable of thriving in a fast-paced environment.
• Balance critical thinking with creative problem-solving and make informed decisions using both quantitative and qualitative reasoning.

Why Acquia Support?

A genuinely fun place to work. We're a tight-knit team with a lot of energy and opportunities to work collaboratively with others, both in Support and across Acquia to improve our offerings and customer experiences.We're not a call center. Acquia is looking for engineers, not someone to just answer the phone. We provide opportunities to constantly learn and grow your technical skills while solving sophisticated challenges involving cloud technology.When we say work/life balance, we mean it. Paid quarterly on-call, and a liberal vacation policy mean a role where you can have a life, not just a job you can live with.

Acquia is proud to provide best-in-class benefits to help our employees and their families maintain a healthy body and mind. Core Benefits include: competitive healthcare coverage, wellness programs, take it when you need it time off, parental leave, recognition programs, and much more!
Individuals seeking employment at Acquia are considered without regard to race, color, religion, caste, creed, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. Whatever you answer will not be considered in the hiring process or thereafter.

As Sr. Systems Engineer, you’ll support the Models as a Service project team in the planning and execution of AI Models and Machine Learning Services within the Advana Enterprise Platform.  The engineer leads technical design, development and integration of enterprise ML solutions in support of use cases and business intelligence objectives as well as adaptation of production models.  The engineer also supports training and deployment of models including specific metadata.

We know that you can’t have great technology services without amazing people. At MetroStar, we are obsessedwithour people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers.

If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below!

What you’ll do:

• Support the Models as a Service project team in the planning and execution of AI Models and Machine Learning Services within the Advana Enterprise Platform.
• Lead technical design, development and integration of enterprise ML solutions in support of use cases and business intelligence objectives as well as adaptation of production models.
• Support training and deployment of models including specific metadata.

What you’ll need to succeed:

• An active U.S. Government issued Secret security clearance (or higher).
• 3+ years of computer systems engineering experience
• Proven ability to define and support long-term, enterprise-level technology strategies.
• Proven ability to handle daily IT operation and oversight of risk management, deliverables, and resources, including current hardware and networks available.
• Proven ability to develop technology solutions for large scale enterprise applications.
• Proven ability to support the design, development, and integration of enterprise machine learning services.
• Proven ability to develop solutions that will include data pipelines, model architecture, model design, training, evaluation, tuning, deployment, and integration.

Like we said, we arebig fans of our people. That’s why we offer a generous benefits package, professional growth, and valuable time to recharge. Learn more about our company culture code and benefits. Plus, check out our accolades.

Don’t meet every single requirement? 

Studies have shown that women, people of color and the LGBTQ+ community are less likely to apply to jobs unless they meet every single qualification.  At MetroStar we are dedicated to building a diverse, inclusive, and authentic culture, so, if you’re excited about this role, but your previous experience doesn’t align perfectly with every qualification in the job description, we encourage you to go ahead and apply.  We pride ourselves on making great matches, and you may be the perfect match for this role or another one we have. Best of luck! – The MetroStar People & Culture Team

What we want you to know:

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

MetroStar Systems is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The statements herein are intended to describe the general nature and level of work being performed by employees and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of MetroStar Systems.

Not ready to apply now?

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As Associate Systems Engineer, you’ll support the Models as a Service project team in the planning and execution of AI Models and Machine Learning Services within the Advana Enterprise Platform.  The engineer supports technical design, development and integration of enterprise ML solutions in support of use cases and business intelligence objectives as well as adaptation of production models.  The engineer also supports training and deployment of models including specific metadata.

We know that you can’t have great technology services without amazing people. At MetroStar, we are obsessedwithour people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers.

If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below!

What you’ll do:

• Plan and execute AI Models and Machine Learning Services within the Advana Enterprise Platform.
• Support technical design, development and integration of enterprise ML solutions in support of use cases and business intelligence objectives as well as adaptation of production models.
• Support training and deployment of models including the specific metadata.

What you’ll need to succeed:

• An active U.S. Government issued Secret security clearance (or higher).
• 1+ years of systems engineering and architecture experience
• Proven ability to supports the design, development, and integration of enterprise machine learning services.
• Proven ability to develop solutions that include data pipelines, model architecture, model design, training, evaluation, tuning, deployment, and integration.

Like we said, we arebig fans of our people. That’s why we offer a generous benefits package, professional growth, and valuable time to recharge. Learn more about our company culture code and benefits. Plus, check out our accolades.

Don’t meet every single requirement? 

Studies have shown that women, people of color and the LGBTQ+ community are less likely to apply to jobs unless they meet every single qualification.  At MetroStar we are dedicated to building a diverse, inclusive, and authentic culture, so, if you’re excited about this role, but your previous experience doesn’t align perfectly with every qualification in the job description, we encourage you to go ahead and apply.  We pride ourselves on making great matches, and you may be the perfect match for this role or another one we have. Best of luck! – The MetroStar People & Culture Team

What we want you to know:

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

MetroStar Systems is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The statements herein are intended to describe the general nature and level of work being performed by employees and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of MetroStar Systems.

Not ready to apply now?

Sign up to join our newsletter here.

As Associate Systems Engineer, you’ll support the Models as a Service the CS Engineering and Project team in the execution of AI Models and Machine Learning Services within the Advana Enterprise Platform.  The engineer implements the technical design, development and integration of enterprise ML solutions in support of use cases and business intelligence objectives as well as adaptation of production models.  The engineer also supports training and deployment of models including specific metadata.

We know that you can’t have great technology services without amazing people. At MetroStar, we are obsessedwithour people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers.

If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below!

What you’ll do:

• Support the Models as a Service the CS Engineering and Project team in the execution of AI Models and Machine Learning Services within the Advana Enterprise Platform.
• Implement the technical design, development and integration of enterprise ML solutions in support of use cases and business intelligence objectives as well as adaptation of production models
• Support training and deployment of models including the specific metadata.

What you’ll need to succeed:

• An active U.S. Government issued Secret security clearance (or higher).
• 1+ years of systems engineering experience
• Ability to contribute to the development and integration of enterprise machine learning services.
• Ability to assist in the development of solutions that include data pipelines, model architecture, model design, training, evaluation, tuning, deployment, and integration.

Like we said, we arebig fans of our people. That’s why we offer a generous benefits package, professional growth, and valuable time to recharge. Learn more about our company culture code and benefits. Plus, check out our accolades.

Don’t meet every single requirement? 

Studies have shown that women, people of color and the LGBTQ+ community are less likely to apply to jobs unless they meet every single qualification.  At MetroStar we are dedicated to building a diverse, inclusive, and authentic culture, so, if you’re excited about this role, but your previous experience doesn’t align perfectly with every qualification in the job description, we encourage you to go ahead and apply.  We pride ourselves on making great matches, and you may be the perfect match for this role or another one we have. Best of luck! – The MetroStar People & Culture Team

What we want you to know:

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

MetroStar Systems is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The statements herein are intended to describe the general nature and level of work being performed by employees and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of MetroStar Systems.

Not ready to apply now?

Sign up to join our newsletter here.