Director, Data Science, Foundation Model AI
USA - Massachusetts - Cambridge (320 Bent Street), United States
USD 194K-305K Executive-level Full Time
Tasks
- Align and prioritize research and development with business needs
- Analyze results from machine learning and AI models
- Coach and advance machine learning researchers
- Collaborate with cross functional teams to identify high impact research questions
- Cultivate AI excellence culture
- Develop methods for extracting insights from noisy biological data
- Establish collaborations with academia and industry
- Propose and pilot promising research directions
- Provide technical guidance for foundation model training
- Publish research findings in conferences and journals
- Stay current with AI machine learning and statistics
- Train large multi modal foundation models
Perks/Benefits
Skills/Tech-stack
AI architecture | Biological Data | Biological foundation models | Causal analysis | Deep learning | Diffusion modeling | Efficient Fine Tuning | Fine Tuning | Flow matching | Foundation Model | Foundation Models | Foundation model fine-tuning | Generative Modeling | Genomics | Genomics Data | Machine Learning | Model Fine-tuning | Multi-GPU | Multi-Modal | Multi-Modal Learning | Multi-node | Multi-node Training | Parameter efficient fine-tuning | Post Hoc Interpretability | Preference optimization | Probabilistic Models | PyTorch | Python | Reinforcement Learning | Software development | Transformer
Education
Regions
Countries
States
Cities
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