Pinterest is looking for a Tech Lead for ranking to drive cross-team engineering efforts to deliver ML-driven product experiences to their Pinners, focusing on making Pinterest search fast, personalized, and relevant.
Requirements
- Languages: Python, Java.
- Machine Learning: PyTorch, TensorFlow.
- Big data processing: Spark, Hive, MapReduce.
- Experience with search and in particular semantic relevance modeling (Preferred).
- Hands on experience leveraging LLMs and VLMs to drive product impact.
- Strong modeling skills and experience working on problems like online/offline bias, scaling models, etc.
- Experience with large scale systems.
- Exposure to Generative AI models.
Responsibilities
- Build foundational models to do semantic search relevance.
- Work with teams responsible for search full-stack to improve relevance at each stage.
- Develop relevance focused signals (e.g. VLM based embeddings) that can be used in multiple models across the search stack.
- Contribute towards the strategic vision and technical direction of highly visible initiatives.
- Mentor a team of 5 engineers.
- Work cross functionally with adjacent teams to drive cohesive modeling across the business.
Other
- This position is not eligible for relocation assistance.
- 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.
- US based applicants only
- Bachelors degree in a relevant field such as computer science, or equivalent experience