Salary
💰 $176,924 - $364,254 per year
Tech Stack
JavaMapReducePythonPyTorchSparkTensorflow
About the role
- Lead ranking initiatives by driving ML-driven product experiences to improve Pinterest search.\n
- Build foundational models to do semantic search relevance.\n
- Work with teams responsible for search full-stack to improve relevance at each stage.\n
- Develop relevance focused signals (e.g. VLM based embeddings) that can be used in multiple models across the search stack.\n
- Contribute towards the strategic vision and technical direction of highly visible initiatives.\n
- Mentor a team of 5 engineers.\n
- Work cross functionally with adjacent teams to drive cohesive modeling across the business.
Requirements
- Languages: Python, Java.\n
- Machine Learning: PyTorch, TensorFlow.\n
- Big data processing: Spark, Hive, MapReduce.\n
- Experience with search and in particular semantic relevance modeling (Preferred).\n
- Hands-on experience leveraging LLMs and VLMs to drive product impact.\n
- Strong modeling skills and experience working on problems like online/offline bias, scaling models, etc.\n
- Experience with large scale systems.\n
- Exposure to Generative AI models.\n
- Bachelors degree in a relevant field such as computer science, or equivalent experience