WHOOP
Software Engineer II, ML Ops
Boston, MAfull timemidAdded yesterday
About this role
Seeking a Software Engineer II to build and maintain machine learning infrastructure and deployment pipelines. You'll work on MLOps tooling, model serving systems, and collaboration platforms that enable data scientists and ML teams to productionize models at scale.
What you'll do
- Design and implement MLOps infrastructure for model training, validation, and deployment
- Develop tools and frameworks that streamline ML workflows across teams
- Maintain and optimize model serving and inference systems
- Collaborate with data scientists to operationalize machine learning solutions
- Build CI/CD pipelines and automation for ML model lifecycle
- Troubleshoot and improve system reliability and performance
What they're looking for
- Software engineering fundamentals and system design
- Python and/or similar backend languages
- Machine learning frameworks and tools (TensorFlow, PyTorch, scikit-learn)
- Docker, Kubernetes, or container orchestration
- CI/CD tools and practices
- Cloud platforms (AWS, GCP, or Azure)
- SQL and data management
- Distributed systems understanding
Opens the official application on the employer’s site. No login required.
WHOOP
WHOOP builds a human performance platform supported by advanced infrastructure and internal systems that serve millions of members. The company is hiring Systems Engineers, Backend Engineers, Frontend Engineers, and Business Systems Engineers to develop and maintain scalable, secure services across their platform, design systems, and IT operations.
- Website
- whoop.com
Likely interview questions
- Describe your experience with MLOps and the tools or platforms you've worked with.
- How have you approached building or scaling model serving infrastructure?