Machine Learning Engineer - Health AIML
Cambridge; Cupertino
USD 139K-304K (estimate) Senior-level Full Time
Tasks
- Apply NLP to health use cases
- Build generative AI solutions
- Collaborate cross functionally to ship production ML
- Design machine learning models
- Develop and troubleshoot agentic systems
- Develop large-scale models
- Evaluate machine learning models
- Implement machine learning systems
- Tune machine learning models
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | Deep learning | Generative AI | Huggingface | Information Retrieval | JAX | Language Models | Language Processing | Large Language Models | Machine Learning | Memory Management | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | Prompt engineering | PyTorch | Retrieval-Augmented Generation | TensorFlow | Tool use
Education
Regions
Countries
States
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