- San Francisco, California, United States
- On-site
- Full-time · Senior
- $200K–$300K per year
- 5–10 years
Lead research work from early hypothesis to working model, tying gains from offline experiments to results seen in practice.
Compensation
Base salary: USD 200,000 to 300,000 per year
Responsibilities
- Modify and train large models
- Build reinforcement learning methods
- Design synthetic-data and knowledge-distillation pipelines
- Create benchmarks and evaluations
- Run and troubleshoot large distributed training jobs
Requirements
- Doctoral study
- Nice to have: scientific data
- Nice to have: multimodal data
- Nice to have: experimental science
- Nice to have: learning from fixed datasets