Staff Applied AI Engineer
Tasks
- Build data pipelines
- Build datasets and evaluations
- Conduct human in the loop review
- Define AI technical strategy
- Design build train evaluate LLM systems
- Develop evaluation frameworks offline and online
- Implement monitoring and guardrails
- Manage prompts and model versions
- Mentor engineers and raise engineering rigor
- Productionize model inference
- Train and evaluate machine learning models
- Translate clinical requirements into ML problems
Perks/Benefits
- 401k matching
- Flexible Spending Plans
- Medical, dental & vision coverage
- Paid time off
- Parental leave
- Remote-first work environment
Skills/Tech-stack
Data Pipelines | Distributed Systems | Electronic Health Records | Experimentation | Fine Tuning | Health Records | Human-in-the-loop | Language Models | Language Processing | Large Language Models | Machine Learning | Model Evaluation | Model Monitoring | Natural Language | Natural Language Processing | Prompt engineering | Prompt management | Python | Retrieval-Augmented Generation | The Loop | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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