We are looking for a Senior Machine Learning Operations Engineer to serve as a key technical leader, responsible for defining, advancing and executing our overall ML platform strategy. The ideal candidate will have 5+ years of experience with ML ops, model serving and optimization, and expertise in frameworks like Sklearn, Pandas, Numpy.
Requirements
- Design, build, and maintain scalable ML systems and infrastructure using Python, Postgres, and Elasticsearch.
- Lead sprints, conduct rigorous code reviews, and set the 'gold standard' for ML engineering practices across the organization.
- Actively mentor junior and mid-level engineers, fostering a culture of technical excellence and professional growth.
- Partner closely with other Machine Learning Engineers, Product Managers, Data Scientists, Data Engineers, and Product Engineers to ensure the successful delivery of strategic and roadmap initiatives.
- Independently and with relatively little oversight, own systems throughout the software development lifecycle, from design to development, deployment and monitoring.
- Maintain and improve performance of existing data systems and processes while balancing maintainability, observability and readability.
- Participate in an on-call rotation where you will support incidents and questions about service behavior from product managers.
- Demonstrate a deep sense of ownership by developing a thorough understanding of a domain.
- Proactively propose solutions to gaps or risks in process, technology, software design and architecture.
- Provide rigorous and detailed code reviews that uphold team standards, testing and software design best practices.
- Foster a culture of constant improvement and growth, engineering excellence, humility, positivity and curiosity.
- Take a lead role in making our two days in the office productive and engaging, fostering face-to-face mentorship and collaborative whiteboarding sessions.
- In partnership with other leaders, establish best practices across the organization and drive the organization’s standards within the team, leading by example.
Benefits
- Excellent benefits, including medical, dental, vision, life, and disability coverage.
- Matching 401(k) program.
- Employee Resource Groups for learning opportunities and building relationships.
- Casual dress code.
- Office wide engagement activities, team events, happy hours and more!
- Access to a gym and Peloton bikes in the office building.
- Free counseling sessions through the Employee Assistance Program.
- Paid vacation time, wellness days, and company-paid holidays.
- 100% paid parental leave.
- Relocation assistance.
