Senior Applied Scientist, Search & Information Retrieval
Tasks
- Build data preparation training evaluation and production deployment pipelines
- Collaborate on MLOps model monitoring retraining and reliability
- Continuously refine models using feedback loops
- Contribute to publications and patentable innovations
- Create offline and online evaluation frameworks
- Design and deploy large scale information retrieval systems
- Develop end to end NLP and IR models
- Mentor junior scientists
- Translate business requirements into technical solutions
Perks/Benefits
- Continuous learning programs
- Dental insurance
- Disability insurance
- Employee stock purchase plan
- Fitness reimbursement
- Health insurance
- Life insurance
- Mental health days
- Paid time off
- Paid volunteer days
- Parental leave
- Retirement savings
- Sabbatical opportunities
- Vision insurance
- Work from anywhere
Skills/Tech-stack
AWS SageMaker | Azure Machine Learning | Elasticsearch | Hugging Face | Hugging Face Transformers | Indexing | Information Retrieval | Language Processing | Latency benchmarking | MLOps | Machine Learning | Model Monitoring | Natural Language | Natural Language Processing | OpenSearch | Precision at K | PyTorch | Python | Query Optimization | Ranking | Recall at K | Relevance scoring | Search Relevance
Education
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