Sr. Data Scientist
San Francisco, California, United States
R
USD 162K-238K Senior-level Full Time
Tasks
- Build and deploy AI systems
- Build model evaluation and deployment pipelines
- Build transformer-based models
- Contribute to AI platform architecture
- Design machine learning solutions for production
- Develop NLP systems
- Develop agentic AI workflows
- Develop ranking recommendation classification prediction optimization models
- Improve scalability reliability and observability of ML systems
- Mentor engineers and elevate engineering excellence
- Monitor production machine learning systems
- Own end-to-end ML lifecycle
- Partner with product engineering and analytics
- Perform data exploration and feature engineering
Perks/Benefits
- 401k matching
- Disability insurance
- Health insurance
- Learning and development opportunities
- Life insurance
- Paid Holidays
- Paid parental leave
- Paid time off
- Remote work equipment support
- Self-care days
- Stock options
- Wellness education sessions
Skills/Tech-stack
AWS | Amazon Bedrock | Classification Models | Databricks | Embeddings | Feature Engineering | Langchain | Langgraph | MLOps | Machine Learning | Machine Learning Pipelines | Model Evaluation | NLP | Predictive Modeling | Prompt engineering | PyTorch | Python | Ranking Models | Recommendation Systems | Retrieval-Augmented Generation | Statistics | TensorFlow | Transformers | Vector Databases
Education
N/A
Roles
Regions
Countries
States
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