Pinterest is seeking a Sr. Engineering Manager to lead the team that builds the serving and deployment infrastructure for all ML models at Pinterest, aiming to ensure ML systems are efficient, healthy, and fast.
Requirements
- Experience managing platform engineering teams with many cross-organizational customers
- Experience building large-scale distributed serving systems
- Experience with ML inference technologies for online serving at Web scale
- Experience developing engineering platforms: deep customer understanding
- Ultra-high-performance C++ model inference engine for production recommendations and content ranking systems.
- TorchScript + CUDA Graph models on GPU inference, serving 500+M inferences/second.
- Production GenAI & LLM model inference stack for emerging use cases.
Responsibilities
- Lead the team to deliver continual improvements in advanced model architectures, cost-efficient resource utilization, and ML developer productivity.
- Set technical direction for the team based on company and org priorities.
- Coach and develop talent on the team.
Other
- Bachelor’s degree in Computer Science, a related field or equivalent experience
- We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
- This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
- Prefer Bay Area as most ML Serving team members are located there.
- This position is not eligible for relocation assistance.
