Director, Applied Machine Learning
Tasks
- Apply evaluation methods to guide strategy
- Build and scale post training infrastructure
- Lead post training and RL environment strategy
- Maintain customer relationships and communicate progress
- Manage and grow machine learning teams
- Partner with AI lab researchers and internal stakeholders
- Provide strategic project support across lab engagements
- Translate ambiguous priorities into execution plans
Perks/Benefits
- 401k match
- Commuting support
- Dental insurance
- Equity
- Flexible working schedule
- Gym access
- Learning stipend
- Medical insurance
- Mental health support
- Paid parental leave
- Paid time off
- Vision insurance
- Wellness stipend
Skills/Tech-stack
Data labeling | Human Feedback | Infrastructure Scaling | Language Processing | Learning environments | Machine Learning | Model Evaluation | Natural Language | Natural Language Processing | Post-training | Production ML | Reinforcement Learning | Reinforcement Learning Environments | Research Collaboration | Team leadership
Education
Regions
Countries
States
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