Staff Applied ML/AI Scientist - Search
New York City, NY; San Francisco, CA
R
USD 231K-318K Senior-level Full Time
Tasks
- Apply reinforcement learning for personalization
- Build dense vector retrieval for search
- Deploy GPU based model serving with Triton
- Design natural language search and discovery systems
- Develop multi stage ranking models
- Establish MLOps best practices
- Evaluate agent workflows
- Integrate large language models into search
- Mentor applied scientists and machine learning engineers
- Own next generation search engine
- Productionize deep learning models for real time inference
Perks/Benefits
Skills/Tech-stack
BERT | Deep learning | Dense retrieval | Faiss | GPT | GPU Computing | Graph Neural Networks | Inference Server | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Multi-stage ranking | Natural Language | Natural Language Processing | Neural Networks | Pinecone | PyTorch | Python | Query Understanding | Reinforcement Learning | ScaNN | Sequential modeling | Transformer based Sequential Modeling | Transformer-based | Transformers | Triton Inference | Triton Inference Server | Vector Search
Education
Regions
Countries
States
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