The ML Platform team at Pinterest is seeking to improve the efficiency, health, and speed of ML systems by removing friction and building automated, intuitive tools that enable practitioners to focus on solving real problems.
Requirements
- Five or more years of experience in ML engineering, platform development, or infrastructure roles
- Industry experience in leading teams dedicated to developing ML platforms, developer tools, or automation systems
- Proven track record of improving ML workflows in a fast-moving environment
- Strong product sense and commitment to user experience design principles
- BS+ degree in a relevant field such as Computer Science OR equivalent experience
- Experience with machine learning lifecycle management
- Experience with cloud-based infrastructure and containerization
Responsibilities
- Manage and coach an engineering team building seamless, automated tools that connect every stage of the ML lifecycle
- Drive vision and innovation for ambitious projects such as a central portal that unifies all ML platform services and tools into a cohesive ecosystem
- Develop solutions for tracking, versioning, and governing ML models throughout their complete lifecycle
- Develop a system enabling feature producers to easily iterate on features across multiple ranking surfaces like Homefeed, ads, and more
- Collaborate deeply with ML practitioners across Pinterest to identify pain points and co-create solutions that address real workflow challenges
- Develop clear and comprehensive technical strategies for platform components that balance innovation with practicality
- Influence decisions and identify the best path forward through vision, prioritization, and technical leadership
Other
- Exceptional collaboration skills with demonstrated ability to work across engineering teams and with product managers
- Deep empathy for ML practitioners and their workflow challenges, with experience translating user insights into technical solutions
- Excellent written and verbal communication skills
- In-office requirement: 1-2 times/quarter
- US based applicants only
- BS+ degree in a relevant field such as Computer Science OR equivalent experience
