Sr. Machine Learning Ops Engineer
Description For Sr. Machine Learning Ops Engineer
Sense is on a mission to transform homes into intelligent living spaces while tackling climate change through energy efficiency. As a Sr. Machine Learning Ops Engineer, you'll join a technology team focused on scaling and deploying ML models in production. The role combines technical leadership with hands-on engineering, working with data scientists and engineers to build robust ML infrastructure.
The position offers an opportunity to work with cutting-edge AI technology in the smart home sector, with Sense being recognized as one of the world's top 100 AI companies by VentureBeat and winning multiple awards including Clean Tech Company of the Year. You'll be responsible for designing and maintaining model training infrastructure, improving automation workflows, and ensuring production software scalability.
The ideal candidate brings 5+ years of ML production experience, strong programming skills, and expertise with modern ML frameworks and cloud platforms. You'll work in a diverse and inclusive workplace that values learning and collaboration, with competitive compensation including stock options and comprehensive benefits. This role offers the chance to make a real impact on climate change while working with a talented team creating revolutionary technology in the consumer smart home space.
Responsibilities For Sr. Machine Learning Ops Engineer
- Design, build, and maintain model training and serving infrastructure for CI/CD
- Collaborate with data scientists and data engineers to improve productivity
- Provide technical leadership to data engineers
- Support annotation and ground truth collection through tool improvement
- Champion best practices for data science software development
- Work with infrastructure guild to upgrade and patch libraries
- Ensure data science production software is robust and scalable
- Identify and implement cost savings; monitor and manage costs
Requirements For Sr. Machine Learning Ops Engineer
- 5+ years of experience designing, building, and maintaining production AI/ML applications
- Strong programming skills (Python, C, etc.)
- Experience with ML libraries (PyTorch, scikit-learn, Tensorflow)
- Cloud experience (AWS preferred)
- Experience with frameworks such as MLFlow, Kubeflow, Airflow, Docker
- Strong communication and collaboration skills
- Must be authorized to work in the U.S.
Benefits For Sr. Machine Learning Ops Engineer
- Flexible time away policy
- Paid parental leave
- Competitive compensation
- Healthcare benefits
- Stock Options
- 401k with up to 10k match
- Office in Central Square in Cambridge, MA
