About the MarTech Team 

Marketing Tech is a critical team at Thumbtack overseeing and optimizing millions of marketing spend and is directly responsible for driving our company’s top line revenue growth. As part of this team, you’d get to work on a wide range of Marketing lanes such as paid (SEM, Social, Streaming Media, etc) as well as organic (SEO, Engagement and Lifecycle Marketing, etc) and have an outsized impact on our broader marketing efforts. 

Challenge

Thumbtack is early in the journey of building out the marketing tech stack.  This unique role (reporting into the Marketing Tech engineering team) will help develop and build the vision of incorporating data more fully into marketing at Thumbtack, while both designing and modeling datasets collaboratively with our cross functional team, and also getting one’s hands dirty using a modern data stack. Thumbtack fosters a very collaborative culture of builders, and as such, you’d help set the data architecture, be hands on in building our datasets and mentor engineers as we go.

Responsibilities

• Collaboratively refine and evangelize a comprehensive framework for integrating data-thinking into the software development lifecycle for marketing
• Design, architect, and maintain core marketing datasets, data marts, and feature stores that support a blend of mature products and features with a rapidly evolving product line, in partnership with analytics, data science, and machine learning
• Integrate with teams consisting of product engineers, analysts, data scientists, machine learning engineers throughout marketing to understand their data needs, and help design datasets with the same engineering rigor as any other software we design
• Drive data quality and best practices across marketing and business areas
• Help build the next generation of marketing data products at Thumbtack, based on real-time data products on top of Apache Kafka

What you’ll need

If you don't think you meet all of the criteria below but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone excited to join the team.

• 8 or more years of experience designing and building data sets and warehouses
• Excellent ability to understand the needs of and collaborate with stakeholders in other functions, especially Analytics, and identify opportunities for process improvements across teams
• Expertise in SQL for analytics/reporting/business intelligence and also for building SQL-based transforms inside an ETL pipeline
• Experience designing, architecting, and maintaining a data warehouse and data marts that seamlessly stitches together data from production databases, clickstream data, and external APIs to serve multiple stakeholders
• Familiarity building the above with a modern data stack based on a cloud-native data warehouse, in our case we use BigQuery, dbt, and Apache Airflow, but a similar stack is fine
• Strong sense of ownership and pride in your work, from ideation and requirements-gathering to project completion and maintenance

Bonus points if you have 

• Experience in the marketing domain and third party tools like Branch, Fivetran etc. 
• Experience building ETL data pipelines in a programming language, like Python or Scala
• Experience using and/or configuring Business Intelligence tools (Looker, Tableau, Mode, et al)
• Understanding of database internals and query optimization
• Experience working with semi-structured or unstructured data in a data lake or similar
• Experience working in data engineering or a similar discipline at a two-sided marketplace or similar B2C technology company
• Experience mentoring and coaching data engineers and/or analysts

Thumbtack is a virtual-first company, meaning you can live and work from any one of our approved locations across the United States, Canada or the Philippines.* Learn more about our virtual-first working modelhere.

#LI-Remote

There is only one Data Cloud. Snowflake’s founders started from scratch and designed a data platform built for the cloud that is effective, affordable, and accessible to all data users. But it didn’t stop there. They engineered Snowflake to power the Data Cloud, where thousands of organizations unlock the value of their data with near-unlimited scale, concurrency, and performance. This is our vision: a world with endless insights to tackle the challenges and opportunities of today and reveal the possibilities of tomorrow. 

Our Sales Engineering organization is seeking a Principal Data Platform Architect focused in Data Apps to join our Field CTO Office who can provide leadership in working with both technical and business executives in the design and architecture of the Snowflake Cloud Data Platform as a critical component of their enterprise data architecture and overall ecosystem.

In this role you will work with sales teams, product management, and technology partners to leverage best practices and reference architectures highlighting Snowflake’s Cloud Data Platform as a core technology enabling platform for the emerging Data Application workload throughout an organization.

As a Principal Data Platform Architect focused in Data Apps, you must share our passion and vision in helping our customers and partners drive faster time to insight through Snowflake’s Cloud Data Platform, thrive in a dynamic environment, and have the flexibility and willingness to jump in and get things done. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences. 

IN THIS ROLE YOU WILL GET TO: 

• Apply your data application architecture expertise while presenting Snowflake technology and vision to executives and technical contributors at strategic prospects, customers, and partners
• Work with our product management, partners, and sales teams in order to drive innovation in our Cloud Data Platform 
• Partner with sales team and channel partners to understand the needs of our customers,  strategize on how to navigate and accelerate winning sales cycles, provide compelling value-based enterprise architecture deliverables and working sessions to ensure customers are set up for success operationally, and support strategic enterprise pilots / proof-of-concepts 
• Collaborate closely with our Product team to effectively influence the Cloud Data Platform product roadmaps based on field team and customer feedback
• Partner with Product Marketing teams to  spread awareness and support pipeline building via customer roundtables,  conferences, events, blogs, webinars, and whitepapers
• Contribute to the creation of reference architectures, blueprints, best practices, etc. based on field experience to continue to up-level and enable our internal stakeholders and Snowflake Powered by Program

ON DAY ONE, WE WILL EXPECT YOU TO HAVE: 

• 10+ years of full stack application architecture experience with a deep understanding of how to scale applications with large data sets
• 3+ years of Cloud Provider (AWS, Azure, GCP) customer facing application development experience
• 1+ years of Snowflake experience
• 2+ years of experience in building/utilizing various data connectivity tools like connectors & drivers which enable access to a library of data sources.
• Outstanding presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
• Broad range of experience with on-prem and/or cloud databases
• Experience with decomposing application components and determining how to leverage various technologies found with modern cloud services.
• Knowledge of SQL, and Javascript, Python, Java, Scala, Go, Ruby or other languages
• Knowledge of platform and container technologies, including Docker, Kubernetes, or Infrastructure as Code (IaC)
• Knowledge of data formats or languages that manage data, including SQL, JSON, AVRO, Apache Parquet or XML
• Experience with Open Data table formats like Iceberg and data processing engine like Spark is a plus.
• Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred 

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. 

How do you want to make your impact?

Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.

EquipmentShare is Hiring a Senior MLOps Engineer.

EquipmentShare is searching for a Senior MLOps Engineer for a remote opportunity supporting the Data Platform team as it continues to grow.  

Primary Responsibilities

• Collaborate with scientists and data engineers to design, develop, and deploy scalable ML models and pipelines
• Work with scientists to build and maintain end-to-end ML pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment.
• Automate continuous integration and continuous deployment (CI/CD) pipelines for scientists to self-service model and feature deployment
• Develop monitoring and logging solutions to track model performance, data quality, and system health in production environments
• Work with Scientists to optimize ML workflows for efficiency, scalability, and cost-effectiveness.
• Automate infrastructure provisioning, configuration management, and resource scaling using infrastructure-as-code (IaC) tools
• Troubleshoot issues related to data, models, infrastructure, and deployments in production environments
• Mentor junior members of the Data Platform team and provide technical guidance and best practices
• Stay updated on the latest advancements and trends in MLOps, machine learning, and cloud technologies

Why We’re a Better Place to Work

• Competitive salary.
• Medical, Dental and Vision coverage for full-time employees.
• 401(k) and company match.
• Unlimited paid time off (PTO) plus company paid holidays.
• Generous paid parental leave
• State of the art onsite gym (Corporate HQ) with instructor led-courses/Gym stipend for remote employees.
• Seasonal and year round wellness challenges.
• Company sponsored events (annual family gatherings, happy hours and more).
• Volunteering and local charity initiatives that help you nurture and grow the communities you call home. Employees receive 16 hours of paid volunteer time per year. 
• Opportunities for career and professional development with conferences, events, seminars and continued education. 

About You 

Our mission to change an entire industry is not easily achieved, so we only hire people who are inspired by the goal and up for the challenge. In turn, our employees have every opportunity to grow with us, achieve personal and professional success and enjoy making a tangible difference in an industry that’s long been resistant to change. 

Skills & Qualifications 

• Bachelor’s or Master’s degree, or equivalent practical experience, in computer science, machine learning, software engineering, data engineering, DevOps, or related field
• 5+ years of experience working in MLOps, machine learning engineering, software engineering, data engineering, DevOps, or related roles
• Demonstrated knowledge and experience in building a modern data science, experimentation and machine learning technology stack for a data-driven company
• Proficiency in programming languages such as Python, Java, or Scala
• Strong understanding of cloud computing platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes)
• Knowledge of DevOps practices, including infrastructure automation, configuration management, and monitoring
• Excellent problem-solving skills and attention to detail
• Effective communication and collaboration skills, with the ability to work in a fast-paced, team-oriented environment
• Experience with version control systems (e.g., Git) and CI/CD tools (e.g., Jenkins, GitLab CI/CD)
• Experience with ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with Snowflake is preferred but not required
• Must be qualified to work in the United States or the United Kingdom - we are not sponsoring any candidates at this time

EquipmentShare is committed to a diverse and inclusive workplace. EquipmentShare is an equal opportunity
employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation,
protected veteran status, disability, age, or other legally protected status.

#LI-Remote

Who Are You

We are seeking a highly skilled and experienced ML Platform Architect to join our dynamic and growing data platform team. As an ML Platform Architect, you will play a crucial role in strengthening and expanding the core of our data products. We want you to help us scale our business, to data-driven decisions, and to contribute to our overall data strategy. You will work alongside talented data platform engineers to envision how all the data elements from multiple sources should fit together and then execute that plan. The ideal candidate must: 

• Effectively communicate complex data problems by tailoring the message to the audience and presenting it clearly and concisely. 
• Balance multiple perspectives, disagree, and commit when necessary to move key company decisions and critical priorities forward.
• Have a profound comprehension of data quality, governance, and analytics.
• Have the ability to work independently in a dynamic environment and proactively approach problem-solving.
• Be committed to driving positive business outcomes through expert data handling and analysis.
• Be an example for fellow engineers by showcasing customer empathy, creativity, curiosity, and tenacity.
• Have strong analytical and problem-solving skills, with the ability to innovate and adapt to fast-paced environments.
• Design and build clear, understandable, simple, clean, and scalable solutions.

What You'll Do

• Modernize Signifyd’s Machine Learning (ML) Platform to scale for resiliency, performance, and operational excellence working closely with Engineering and Data Science teams across Signifyd’s R&D group.
• Create and deliver a technology roadmap focused on advancing our data processing capabilities, which will support the evolution of our real-time data processing and analysis capabilities.
• Work alongside ML Engineers, Data Scientists, and other Software Engineers to develop innovative big data processing solutions for scaling our core product for eCommerce fraud prevention.
• Take full ownership of significant portions of our data processing products, including collaborating with stakeholders on machine learning models, designing large-scale data processing solutions, creating additional processing facets and mechanisms, and ensuring the support of low-latency, high-quality, high-scale decisioning for Signifyd’s flagship product.
• Architect, deploy, and optimize Databricks solutions on AWS, developing scalable data processing solutions to streamline data operations and enhance data solution deployments.
• Implement data processing solutions using Spark, Java, Python, Databricks, Tecton, and various AWS services (S3, Redshift, EMR, Athena, Glue).
• Mentor and coach fellow engineers on the team, fostering an environment of growth and continuous improvement.
• Identify and address gaps in team capabilities and processes to enhance team efficiency and success.

What You'll Need

• Ideally has over 10 years of experience in data engineering, including at least 5 years of experience as a data or machine learning architect or lead. Have successfully navigated the challenges of working with large-scale data processing systems.
• Deep understanding of data processing, comfortable working with multi-terabyte datasets, and skilled in high-scale data ingestion, transformation, and distributed processing, with strong Apache Spark or Databricks experience.
• Experience in building low-latency, high-availability data stores for use in real-time or near-real-time data processing with programming languages such as Python, Scala, Java, or JavaScript/TypeScript, as well as data retrieval using SQL and NoSQL.
• Hands-on expertise in data technologies with proficiency in technologies such as Spark, Airflow, Databricks, AWS services (SQS, Kinesis, etc.), and Kafka. Understand the trade-offs of various architectural approaches and recommend solutions suited to our needs.
• Experience with the latest technologies and trends in Data, ML, and Cloud platforms.
• Demonstrable ability to lead and mentor engineers, fostering their growth and development. 
• You have successfully partnered with Product, Data Engineering, Data Science and Machine Learning teams on strategic data initiatives.
• Commitment to quality, you take pride in delivering work that excels in data accuracy, performance and reliability, setting a high standard for the team and the organization.

#LI-Remote

Benefits in our US offices:

• Discretionary Time Off Policy (Unlimited!)
• 401K Match
• Stock Options
• Annual Performance Bonus or Commissions
• Paid Parental Leave (12 weeks)
• On-Demand Therapy for all employees & their dependents
• Dedicated learning budget through Learnerbly
• Health Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Account (FSA)
• Short Term and Long Term Disability Insurance
• Life Insurance
• Company Social Events
• Signifyd Swag

We want to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

About the role:

The Samsara AI team builds end-to-end ML applications to power different product pillars at Samsara. As a Senior Machine Learning Engineer, you will be responsible for developing ML solutions to increase the safety, efficiency and sustainability of the physical operations. You will work closely with various engineering teams across ML, full-stack, firmware as well as cross functional partners to deliver core infrastructure, services, and optimizations.

This role is open to candidates residing in the US except the San Francisco Bay Area (125 mi. radius from 1 De Haro St, San Francisco) and NYC Metro Area (50 mi. radius from 131 W 55th St, New York).

You should apply if:

• You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
• You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations.
• You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go.
• You believe customers are more than a number:Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes.
• You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we’re all racing toward our connected operations vision, and we intend to win—together.

Click hereto learn about what we value at Samsara. 

In this role, you will: 

• Build and improve the accuracy of ML models, including retraining and optimizing open-source models to solve Samsara-specific problems
• Work with petabyte-scale data from Samsara camera and sensor devices to develop new models
• Optimize models for inference on the backend and/or on edge devices
• Partner with hardware and full-stack teams to deploy model for optimal performance and cost
• Stay connected to industry and academic research and adopt novel technology that suits Samsara’s needs.
• Collaborate with PM to translate customer needs to ML solutions
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices

Minimum requirements for the role:

• Ph.D. in Computer Science or quantitative discipline (e.g., Applied Math, Physics, Statistics)
• BS or MS in Computer Science or other relevant field
• Proficiency in one or more common languages (e.g., C++, Golang, Java, Python, Scala) 
• Proficiency with common ML tools (e.g., Spark, TensorFlow, PyTorch)
• Comfortable with full-stack / backend development code to build a strong understanding of underlying data structures and other dependencies

An ideal candidate also has:

• Experience building, deploying, and optimizing ML models on the edge
• Experience building end-to-end ML applications from scratch 
• Expertise in optimizing distributed model training with GPUs

#LI-DNI

The Data Engineering team designs, develops and operates big data services and tools to provide reporting and analytics for our customers and for the business from concept to delivery. We do this on a massive scale, capturing billions of events a day from our video players across the globe. Our team is responsible for deploying to production while delivering differentiated value to our customers. We are seeking a seasoned leader and data practitioner with strong technical depth to drive engineering platforms, initiatives and partnerships across the company. In this role reporting to the SVP, Head of Data, you will be responsible for leading an organizational effort to build and scale state-of-the-art data platforms to solve various data-driven business use cases and needs. These data platforms will be powering data products and data initiatives across the company, including Video, Billing, Financials, Ad Monetization, Audience Insights, Product Analytics, Marketing, Customer Success and Personalization.

Job Responsibilities 

• Hire, develop, motivate, inspire and lead a team of data engineers and architects
• Develop, architect, propose, integrate and implement core data engineering, business intelligence, and data warehouse frameworks, systems, tools, roadmaps, goals, and best practices in support of key company data initiatives
• Provide technical thought leadership to cross-functional stakeholders and leaders to ensure team priorities and output directly impacts company strategy, direction and growth
• Provide technical and architectural oversight for systems and projects that are required to be reliable, massively scalable, highly available (99.999% uptime) and maintainable.
• Champion security and governance and ensure data engineering team adheres to all company guidelines
• Manage data infrastructure/cloud cost and responsible for improving efficiency and performance
• Introduce best practices and principles to enable consistent delivery and enable alignment with long term direction.
• Communicate effectively and present to all levels of the organization and to technical and non-technical audiences.
• Develop deep partnership with cross-functional teams with varying backgrounds, from the highly technical to the highly creatives

Qualifications/Experience 

• Bachelor’s degree in Engineering, Computer Science or similar discipline. Advanced degree is a plus.
• 10+ years of experience in Data Engineering or Engineering fields with increasing responsibility and strong track record of technical competencies and business strategy, both as an individual contributor and managing teams.
• 5+ years of experience in building, managing, and leading a high-performing data engineering team
• Ability to develop and execute roadmaps and state-of-the-art data platforms to drive and support decisions and initiative across the organization
• Track record of implementing and scaling secure data platform for startups, enterprise or large/public companies
• Strengths in at least a few programming languages - Python, Java, Scala 
• Expertise in building and managing large volume data processing (both streaming and batch) platforms
• Expertise in scaling data environments with distributed/RT systems, e.g. Apache Spark, Flink, and self-serve visualization environments
• Expertise in cloud based and SaaS data warehouse (e.g. AWS/GCP, Snowflake, NoSQL) and developing ETL/ELT pipelines
• Experience integrating and building data platform in support of BI (Tableau/Looker), Analytics, Data Science, and real-time applications
• Thrive on empowering team members and view the team's success as own
• Expertise in stream processing systems such as Kafka, Kinesis, Pulsar or Similar is a plus
• Experience in building micro services and managing containerized deployments, preferably using Kubernetes
• Experience with agile methodologies
• Video streaming experience across OTT, Live and Video on Demand platforms is highly desired
• Experience with video streaming monetization platforms and data driven decision making for AVOD, SVOD, TVOD, FAST and Ad optimization is highly desired

About Brightcove 

Brightcove is a diverse, global team of smart, passionate people who are revolutionizing the way organizations deliver video. We’re hyped up about storytelling, and about helping organizations reach their audiences in bold and innovative ways. When video is done right, it can have a powerful and lasting effect. Hearts open. Minds change. 

Since 2004, Brightcove has been supporting customers that are some of the largest media companies, enterprises, events, and non-profit organizations in the world. There are over 600 Brightcovers globally, each of us representing our unique talents and we have built a culture that values authenticity, individual empowerment, excellence and collaboration. This culture enables us to harness the incredible power of video and create an environment where you will want to grow, stay and thrive. Bottom line: We take our video seriously, and we take great pride in doing it as #oneteam.

WORKING AT BRIGHTCOVE 

We strive to provide our employees with an environment where they can do their best work and be their best selves. This includes a focus on our employees’ work experience, actively creating a culture where inclusion and growth are at the center, and hiring, recognizing, promoting employees who are committed to living and breathing these same ideals.  

While remote work arrangements are available for most positions we also offer hybrid or on-site working options in our Boston office, located in beautiful Fort Point harbor. Employees enjoy access to fully-stocked kitchens and social activities including: happy hours, trivia, ping pong tournaments, and events and celebrations of all kinds. You will have plenty of opportunities to meet your colleagues around the globe as we also celebrate a variety of personal interests with organized groups and clubs including an Employee Action Committee, Women of Brightcove, Pride of Brightcove, Parents of Brightcove … and more!

We recognize that no candidate is perfect and Brightcove would love to have the chance to get to know you. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. Brightcove embraces diversity and seeks candidates who support persons of all identities and backgrounds. We strongly encourage individuals from underrepresented and/or marginalized identities to apply. If you need any accommodations for your interview, please emailrecruiting@brightcove.com. 

The BrightcovePrivacy Policyexplains the processing and purposes of any personal information.

#LI-Remote

BC21065

We’re at the forefront of the data revolution, committed to building the world’s greatest data and applications platform. Our ‘get it done’ culture allows everyone at Snowflake to have an equal opportunity to innovate on new ideas, create work with a lasting impact, and excel in a culture of collaboration.

Our Sales Engineering organization is seeking an Architect, Machine Learning Enterprise Field CTO focused on Machine Learning to join our Enterprise Field CTO team who can provide leadership in working with both technical and business executives in the design and architecture of the Snowflake Cloud Data Platform as a critical component of their enterprise data architecture and overall machine learning ecosystem.

In this role you will work with sales teams, product management, and technology partners to leverage best practices and reference architectures highlighting Snowflake’s Cloud Data Platform as a core technology enabling platform for the emerging Data Science workload throughout an organization.

As an Architect focused on Machine Learning you must share our passion and vision in helping our customers and partners drive faster time to insight through Snowflake’s Cloud Data Platform, thrive in a dynamic environment, and have the flexibility and willingness to jump in and get things done. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences.

IN THIS ROLE YOU WILL GET TO:

• Apply your data science architecture expertise while presenting Snowflake technology and vision to executives and technical contributors at strategic prospects, customers, and partners
• Work with our product management, partners, and sales teams in order to drive innovation in our Cloud Data Platform 
• Partner with sales team and channel partners to understand the needs of our customers,  strategize on how to navigate and accelerate winning sales cycles, provide compelling value-based enterprise architecture deliverables and working sessions to ensure customers are set up for success operationally, and support strategic enterprise pilots / proof-of-concepts 
• Provide architectural guidance & hands-on support for strategic enterprise pilots / proof-of-concepts around Snowflake’s AI & ML capabilities. . 
• Collaborate closely with our Product team to effectively influence the Snowflake’s product roadmaps based on field team and customer feedback
• Partner with Product Marketing teams to spread awareness and support pipeline building via customer roundtables, conferences, events, blogs, webinars, and whitepapers

ON DAY ONE, WE WILL EXPECT YOU TO HAVE:

• 3+ years of experience building and deploying machine learning solutions in the cloud 
• Deep technical hands on expertise within Data Science tools and ecosystem 
• 2+ years of working with cloud native ML tools 
• Strong presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
• Working knowledge with data engineering technologies and tools(dbt, Airflow, etc)
• Deep level knowledge of Data Science and ML fundamentals
• Working knowledge of deep learning concepts, techniques, and tools(Pytorch, Tensorflow, etc). 
• 2+ years experience building and deploying ML/data engineering applications and solutions on Spark
• Advanced knowledge of Python and popular third party packages(Pandas, Numpy, Tensorflow, sklearn, Pytorch, etc)
• Introductory familiarity with LLM developer tools like langchain, llamaindex. 
• Working knowledge of SQL, R, Scala and / or other scripting languages
• Industry Focus a plus  (Education, Federal, Financial Services, Healthcare & Lifesciences, Insurance, Adv. Media, Retail CPG, Technology and Telecom)
• Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred.

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. 

How do you want to make your impact?

Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.

About the role:

The Samsara ML Experience team builds end-to-end ML applications to power different product pillars at Samsara. As a Senior Machine Learning Engineer II, you will be responsible for developing ML solutions to increase the safety, efficiency and sustainability of the physical operations. You will work closely with various engineering teams across ML, full-stack, firmware as well as cross functional partners to deliver core infrastructure, services, and optimizations.

This role is open to candidates residing in the Canada 

You should apply if:

• You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
• You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations.
• You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go.
• You believe customers are more than a number:Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes.
• You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we’re all racing toward our connected operations vision, and we intend to win—together.

Click hereto learn about what we value at Samsara. 

In this role, you will: 

• Build and improve the accuracy of ML models, including retraining and optimizing open-source models to solve Samsara-specific problems
• Work with petabyte-scale data from Samsara camera and sensor devices to develop new models
• Optimize models for inference on the backend and/or on edge devices
• Partner with hardware and full-stack teams to deploy model for optimal performance and cost
• Stay connected to industry and academic research and adopt novel technology that suits Samsara’s needs
• Collaborate with PM to translate customer needs to ML solutions

• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices

Minimum requirements for the role:

• BS or MS in Computer Science or other relevant field
• 4+ years experience as an Machine Learning Engineer, Applied Scientist, or similar role
• Strong proficiency in one or more common languages (e.g., C++, Golang, Java, Python, Scala) 
• Proficiency with common ML tools (e.g., Spark, TensorFlow, PyTorch)
• Experience deploying and iteratively refining models using customer feedback loops
• Comfortable with full-stack / backend development code to build a strong understanding of underlying data structures and other dependencies

An ideal candidate also has:

• Ph.D. in Computer Science or quantitative discipline (e.g., Applied Math, Physics, Statistics)
• Experience building, deploying, and optimizing ML models on the edge
• Experience building end-to-end ML applications from scratch 
• Expertise optimizing distributed model training with GPUs

About the role:

The Samsara ML Experience team builds end-to-end ML applications to power different product pillars at Samsara. As a Senior Machine Learning Engineer II, you will be responsible for developing ML solutions to increase the safety, efficiency and sustainability of the physical operations. You will work closely with various engineering teams across ML, full-stack, firmware as well as cross functional partners to deliver core infrastructure, services, and optimizations.

This role is open to candidates residing in the Canada and US except the San Francisco Bay Area (125 mi. radius from 1 De Haro St, San Francisco) and NYC Metro Area (50 mi. radius from 131 W 55th St, New York).

You should apply if:

• You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
• You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations.
• You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go.
• You believe customers are more than a number:Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes.
• You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we’re all racing toward our connected operations vision, and we intend to win—together.

Click hereto learn about what we value at Samsara. 

In this role, you will:

• Design and implement scalable machine learning infrastructure using Ray to support model training, deployment, and inference at scale
• Leverage Kubernetes for orchestration of containerized applications, ensuring seamless deployment, scaling, and management of ML models and associated services
• Develop and maintain CI/CD pipelines for automated testing, deployment, and management of ML applications and infrastructure
• Implement robust monitoring, logging, and alerting systems to ensure high availability, performance, and security of the ML platform
• Collaborate with data scientists and ML engineers to optimize data pipelines and model performance
• Stay abreast of the latest advancements in machine learning technologies and infrastructure, and advocate for the adoption of best practices and new technologies within the team
• Provide DevOps/SRE support for the ML platform, including incident response, performance tuning, and disaster recovery planning
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices

Minimum requirements for the role:

• BS or  MS in Computer Science or other relevant field
• 6+ years experience as an Machine Learning Engineer or similar role
• Strong proficiency in one or more common languages (e.g., C++, Golang, Java, Python, Scala) 
• Proficiency with common ML tools (e.g., Spark, TensorFlow, PyTorch)
• Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack) and security best practices for ML platforms

An ideal candidate also has:

• Ph.D. in Computer Science or quantitative discipline (e.g., Applied Math, Physics, Statistics)
• Strong experience with Ray for distributed machine learning, Kubernetes for container orchestration, and Docker for containerization
• Solid understanding of DevOps and SRE principles, including experience with CI/CD tools (e.g., Jenkins, GitLab CI), infrastructure as code (e.g., Terraform, Ansible), and cloud services (AWS, GCP, Azure).

About the role:

The Samsara ML Experience team builds end-to-end ML applications to power different product pillars at Samsara. As a Senior Machine Learning Engineer II, you will be responsible for developing ML solutions to increase the safety, efficiency and sustainability of the physical operations. You will work closely with various engineering teams across ML, full-stack, firmware as well as cross functional partners to deliver core infrastructure, services, and optimizations.

This role is open to candidates residing in the Canada and US except the San Francisco Bay Area (125 mi. radius from 1 De Haro St, San Francisco) and NYC Metro Area (50 mi. radius from 131 W 55th St, New York).

You should apply if:

• You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
• You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations.
• You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go.
• You believe customers are more than a number:Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes.
• You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we’re all racing toward our connected operations vision, and we intend to win—together.

Click hereto learn about what we value at Samsara. 

In this role, you will: 

• Build and improve the accuracy of ML models, including retraining and optimizing open-source models to solve Samsara-specific problems
• Work with petabyte-scale data from Samsara camera and sensor devices to develop new models
• Optimize models for inference on the backend and/or on edge devices
• Partner with hardware and full-stack teams to deploy model for optimal performance and cost
• Stay connected to industry and academic research and adopt novel technology that suits Samsara’s needs
• Collaborate with PM to translate customer needs to ML solutions

• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices

Minimum requirements for the role:

• BS or MS in Computer Science or other relevant field
• 4+ years experience as an Machine Learning Engineer, Applied Scientist, or similar role
• Strong proficiency in one or more common languages (e.g., C++, Golang, Java, Python, Scala) 
• Proficiency with common ML tools (e.g., Spark, TensorFlow, PyTorch)
• Experience deploying and iteratively refining models using customer feedback loops
• Comfortable with full-stack / backend development code to build a strong understanding of underlying data structures and other dependencies

An ideal candidate also has:

• Ph.D. in Computer Science or quantitative discipline (e.g., Applied Math, Physics, Statistics)
• Experience building, deploying, and optimizing ML models on the edge
• Experience building end-to-end ML applications from scratch 
• Expertise optimizing distributed model training with GPUs

EquipmentShare is Hiring a Telematics Software Engineer 

At EquipmentShare, we believe it’s more than just a job, we invest in our people and encourage you to choose the best path for your career. It’s truly about you, your future and where you want to go.

We are looking for a Software Engineer(backend) to help us continue to build the next evolution of our platform in a scalable, performant and customer-centric oriented architecture.

Our main tech stack includes : AWS, Kubernetes, Python, Kafka, PostgreSQL, DynamoDB, and Kinesis

If you haveproduction scale experience in a different stack (Go, Java, TypeScript, Scala, C#, TypeScript, etc.) and are interested in moving to a new stack, we should chat.

What you'll be doing

We are typically organized into agile cross-functional teams composed of Engineering, Product and Design, which allows us to develop deep expertise and rapidly deliver high value features and functionality to our next generation T3 Platform.

You’ll work closely with a team of Engineers to build and maintain our cloud native event ingestion and processing architecture built on AWS. These systems serve ourIoT and SaaS customers to provideanalytics, real time alerting and logistics features.

Your team sits at the nexus of high volume message ingestion, hardware deployment logistics and R&D.  Developing the integrations for the next generation of hardware deployment, ensuring high availability and consistent processing performance.  

We'll be there to support you as you become familiar with our teams, product domains, tech stack and processes — generally how we all work together.

As a Software Engineer III you will 

• Help design, build and deliver the services and domains that power our platform — shaping the product features andcapabilities that underpin our platform.
• Manage large, complex systems operating real-time, big data pipeline processing and intra-processed messaging.
• Analyze component, asset, back-end network logs and telecommunications to confirm system performance using proprietary logging and network tools.
• Review requirements and specification documents as well as architecture and design documentation of telematics systems.  Balancing the desire to ship code with the responsibility to get it right.
• Contribute to our culture improving how we deliver as a team.  Helping us to leave things better than we find them and making it easier for us to get stuff done.
• Collaborate with Engineers on our team by sharing your insight, knowledge and experience as welearn and grow together.

Who you are

You're a hands-on developer who gets stuck in, you enjoy solving complex problems and building impactful solutions.  Most importantly, you care about making a difference.

• Take the initiative to own outcomes from start to finish — knowing what needs to be accomplished within your domain and how we work together to deliver the best solution.
• You have a passion for developing your craft — you understand what it takes to build quality, robust and scalable solutions.
• You’ll see the learning opportunity when things don’t quite go to plan — not only for you, but for how we continuously improve as a team.
• You take a hypothesis-driven approach — knowing how to source, create and leverage data to inform decision making, using data to drive how we improve, to shape how we evaluate and make platform recommendations.

So, what is important to us?

Above all, you’ll get stuff done. More importantly, you’ll collaborate to do the right things, in the right wayto achieve the right outcomes.

• Proficient with a high order object oriented language. (especially Python - open to Go, Java, Scala, C# etc.)
• 4+ years of relevant development experience building production grade solutions.
• Delivery focused with solid exposure to event driven architectures and high volume data processing.
• Practical exposure of CI/CD pipelines for your production services.
• Familiarity with public cloud service platforms.
• Experience partnering and collaborating with remote teams (across different time zones).
• Proven track record in learning new technologies and applying that learning quickly.
• Experience building observability and monitoring into applications.

Some of the things that would be nice to have, but not required:

• Familiar with containerisation and Kubernetes.
• Practical production knowledge of service oriented architectures.
• Experience with streaming technologies. (AWS Kinesis, Kafka, etc.)

What we will offer you

We can promise that every day will be a little different with new ideas, challenges and rewards.

We’ve been growing as a team and we are not finished just yet— there is plenty of opportunity to shape how we deliver together.

Our missionis to enable the construction industry with tools that unlock substantial increases to productivity. Together with our team and customers, we are building the future of construction.

T3is the only cloud-based operating system that brings together construction workflows & data from constantly moving elements in one place.

• Competitive base salary and market leading equity package (pre-IPO).
• Unlimited PTO.
• Remote first.
• True work/life balance.
• Medical, Dental, Vision and Life Insurance coverage.
• 401(k) + match.
• Opportunities for career and professional development with conferences, events, seminars and continued education.
• On-site fitness center at the Home Office in Columbia, Missouri, complete with weightlifting machines, cardio equipment, group fitness space, racquetball courts, a climbing wall, and much more!
• Volunteering and local charity support that help you nurture and grow the communities you call home through our Giving Back initiative.
• Stocked breakroom and full kitchen with breakfast and lunch provided daily by our chef and kitchen crew.

We embrace diversity in all of its forms and foster an inclusive environment for all people to do their best work with us. 

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

All appointments will be made on merit.

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