Lead Applied Scientist, Search & Information Retrieval
United States of America, New York, New York
R
USD 147K-274K Senior-level Full Time
Tasks
- Build and optimize ingestion pipelines
- Contribute to self service search platforms
- Design and deploy search architectures
- Design evaluation frameworks
- Develop ranking and reranking systems
- Improve retrieval quality
- Lead technical decisions for indexing and retrieval
- Mentor applied scientists and machine learning practitioners
- Partner to deliver scalable search services
- Provide technical input to leadership
Perks/Benefits
- Career development and growth
- Commuter benefits
- Employee assistance program
- Fitness reimbursement
- Flexible work-life balance
- Headspace app access
- Health, dental, vision insurance
- Mental health days
- Paid volunteer days
- Retirement savings
- Tuition reimbursement
- Work from anywhere up to 8 weeks per year
Skills/Tech-stack
AWS SageMaker | AzureML | Distributed Systems | Elasticsearch | Hugging Face | Hugging Face Transformers | Hybrid search | Information Retrieval | LLM | LLM-based retrieval | Language Processing | Machine Learning | Natural Language | Natural Language Processing | OpenSearch | PyTorch | Python | Query Understanding | RAG | Ranking | Re-ranking | Relevance optimization | Search evaluation | Semantic Retrieval | Solr | Vector Search | Vespa
Education
Roles
Applied Scientist | Lead | Lead Applied Scientist | Scientist
Regions
Countries
States
Cities
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