Master Thesis focusing on developing machine learning models for lithium - ion cell sorting at Fraunhofer LBF. Involvement in innovative projects addressing circular economy in battery recycling.
About the role
- Senior Machine Learning Engineer at Pivotal Health developing ML systems for healthcare reimbursement. Collaborating across teams to build and maintain reliable, production-grade machine learning systems.
Responsibilities
- Own machine learning systems end to end, from problem definition and modeling through production deployment and ongoing improvement.
- Build, deploy, and maintain production-grade ML systems in Python with a strong focus on reliability, observability, and maintainability.
- Solve meaningful, real-world problems by applying machine learning in practical, scalable ways that directly support users and the business.
- Iterate based on real-world feedback and model performance, continuously improving systems after they’re live in production.
- Partner closely with Product, Engineering, and Operations to align on goals, constraints, and success metrics.
- Make thoughtful tradeoffs in ambiguous situations, prioritizing clarity, simplicity, and long-term maintainability.
- Contribute to a healthy, low-ego team environment that values empathy, growth, and mutual respect, while fostering collaboration, learning, and knowledge-sharing
Requirements
- Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
- 4+ years of experience building and shipping machine learning or data-driven systems in real-world environments.
- Strong Python experience in production, including building services, pipelines, or model-backed APIs.
- Solid understanding of machine learning fundamentals and how to apply them pragmatically to product problems.
- Experience working with data stores and pipelines (SQL databases, data warehouses, or similar).
- Comfortable collaborating in a modern cloud environment (AWS or GCP), including CI/CD and deployment workflows.
Benefits
- Competitive compensation, including equity
- Full health, dental, and vision coverage
- Retirement savings plan through 401(k)
- Flexible time off
- Opportunities for company-wide connection and events
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Machine Learning Engineer designing and implementing AI systems focused on Japanese language challenges at Woven by Toyota. Involves technical R&D, system design, and collaboration with cross - functional teams.
Principal Software Engineer leading MLOps within Analytics Platform at Sun Life. Focused on AWS and machine learning operations, collaborating across technical and business teams.
Machine Learning Engineer designing and optimizing deep learning models for safety - critical environments at Destinus. Shaping the future of high - speed, autonomous flight technologies.
Machine Learning Engineer optimizing personalization systems for Spotify's audio streaming service. Collaborating with cross - functional teams to enhance user experience and deliver recommendations.
Principal Machine Learning Engineer developing ML and GenAI solutions in a cloud - native environment at Flexera. Leading a high - impact team and driving operational excellence for ML infrastructure.
Senior ML Platform/Ops Engineer at Preply building and maintaining ML pipelines, collaborating with ML Scientists and Data Engineers.
Senior ML Platform/Ops Engineer building ML systems for AI - powered learning at Preply. Productionizing machine learning with high reliability, performance, and observability in a hybrid environment.
Senior ML Platform/Ops Engineer building AI - powered ML pipelines for a dynamic Ed - Tech company. Collaborating with ML scientists and engineers to ensure reliable deployment and observability.
Machine Learning Engineer developing advanced Deep Learning models for autonomous driving technology at Mobileye. Collaborating in a high - end algorithmic engineering team on critical computer vision challenges.