AI Research Scientist (Generative Models for Scientific Discovery)
Tasks
- Build curate scientific datasets benchmarks and evaluation protocols
- Collaborate with scientists engineers and cross functional teams for generative AI applications
- Design generative approaches for materials discovery hypothesis generation and hardware design
- Develop pretrain fine tune align LLMs for scientific data
- Innovate post training alignment and evaluation methods
- Mentor junior team members
- Publish original research
Perks/Benefits
Skills/Tech-stack
Data Curation | Dataset development | Deep learning | Fine Tuning | Generative AI | Human Feedback | Language Models | Language Processing | Large Language Models | Learning from Human Feedback | Machine Learning | Model Evaluation | Natural Language | Natural Language Processing | Pretraining | PyTorch | Python | Reinforcement Learning | Reinforcement Learning from Human Feedback | TensorFlow
Education
Regions
Countries
States
Cities
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