Member of Technical Staff, AI/ML
Tasks
- Build data pipelines
- Build datasets and evaluations
- Build machine learning and LLM systems
- Build training and inference infrastructure
- Conduct online experiments
- Create offline benchmarks
- Deploy ML and LLM inference to production
- Design machine learning systems
- Develop evaluation frameworks
- Implement safety and guardrails
- Manage prompts and models
- Mentor engineers
- Monitor model performance
- Run human in the loop reviews
- Scope problems with clinicians and product partners
- Set technical direction
- Train, evaluate, and improve models
- Translate medical requirements into ML problems
Perks/Benefits
Skills/Tech-stack
Data Pipelines | Data Quality | Deep learning | Distributed Computing | Fine Tuning | Human-in-the-loop | Information Retrieval | LLM Inference | Language Models | Language Processing | Large Language Models | Learning operations | Machine Learning | Machine Learning Operations | Model Evaluation | Monitoring | Natural Language | Natural Language Processing | Production Deployment | Prompt engineering | Python | Retrieval-Augmented Generation | The Loop
Education
N/A
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