8 months ago
Responsibilities
- Lead the development of new model capabilities from task specification to deployment.
- Enhance visual reasoning using reinforcement learning and preference optimization.
- Optimize token efficiency through innovative encoder and connector designs.
- Collaborate with pretraining, post-training, and infrastructure teams.
- Ensure high-quality outputs through rigorous evaluation and iteration.
Requirements
- Hands-on experience in training or evaluating vision-language models.
- Ability to translate research ideas into scalable implementations.
- Proficiency in Python and at least one deep learning framework.
- M.S. or Ph.D. in Computer Science, Mathematics, or a related field, or equivalent industry experience.
- Experience with multimodal training or data pipelines is preferred.
Benefits
- Full ownership of work from architecture to deployment.
- Competitive base salary with equity in a unicorn-stage company.
- 100% coverage of medical, dental, and vision premiums for employees and dependents.
- 401(k) matching up to 4% of base pay.
- Unlimited PTO plus company-wide Refill Days throughout the year.