Senior Research Scientist, Open Ecosystem
Conduct research and build open foundation models and training systems aimed at accelerating scientific discovery. The role requires a PhD-level background and substantial experience training foundation models, with expertise in agentic training or multimodal data preferred.
About the job
Responsibilities
- Build and train modern fully open foundation models focused on accelerating scientific discovery.
- Develop training pipelines and curate high-quality training data.
- Apply research findings to real-world AI systems and scientific applications.
Requirements
- PhD-level foundation in artificial intelligence, machine learning, or a related field.
- Significant experience building and training modern foundation models.
- Experience developing training pipelines.
- Experience curating high-quality training data.
Nice-to-Haves
- Expertise in agentic training.
- Experience with multimodal data.
- Published research demonstrating applied research work.
- Extensive relevant work experience.
Compensation and Benefits
- Base salary: $170,000–$270,000.
- Annual bonuses and participation in a long-term incentive plan.
- Medical, dental, vision, employee assistance, 401(k), health savings, healthcare reimbursement, and flexible spending plans.
- Monthly commuting or internet assistance and fitness and wellbeing expenses.
- Paid sick, personal, and vacation days, plus paid holidays.
Skills
Artificial Intelligence, Machine Learning, Foundation Models, Training Pipelines, Training Data, Agentic Training, Multimodal Data, Scientific Discovery, Ai Research, Open Models
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