What you’ll do :
- Design and build large-scale, reliable and efficient ML serving systems for model inference, deployment monitoring and feature logging.
- Improve the productivity and iteration speed of ML engineers and data scientists.
- Projects may include : high-performance inference engine with GPUs and hardware accelerators; ML monitoring and observability solutions.
- Work extensively with ML engineers across Pinterest to understand their requirements, pain points, and build generalized solutions.
Also work with partner teams to drive projects requiring cross-team coordination.
Provide technical guidance and coaching to more junior engineers in the team.
What we’re looking for :
- Hands-on experience building large-scale ML use cases and systems in production, preferably expertise in SoTA ML inference technologies and optimizations.
- Strong understanding of ML systems especially around scalability and efficiency.
- Flexibility to work across different areas : online systems, model optimization, infrastructure optimization, data processing pipelines, etc.
- Fluency in Python and C++, familiarity with at least one common ML framework.
- Experience with GPU programming, containerization, orchestration technologies is a plus.
Relocation Statement :
This position is not eligible for relocation assistance. Visit our page to learn more about our working model.
LI-REMOTE
LI-AH2
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position.
The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
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