Senior Director, AI Model LifeCycle
Tasks
- Build distillation and reinforcement learning pipelines
- Build machine learning expert team
- Ensure evaluation and reproducible fine tuning
- Implement training pipelines for large language models
- Lead model lifecycle platform development
- Manage datasets, models, and experiments
- Manage fine tuning systems
- Orchestrate multi node training
- Perform reinforcement learning fine tuning
- Version and lineage manage experiments
Perks/Benefits
- 401k match
- Cell phone stipend
- Commuter benefits
- Dental insurance
- HSA contributions
- Health insurance
- Life insurance
- Long-term disability
- Mental health support
- Paid Holidays
- Paid parental leave
- Paid time off
- Professional development
- Restricted stock units
- Short-term disability
- Tuition reimbursement
- Vision insurance
- Volunteer time off
Skills/Tech-stack
Checkpointing | Dataset versioning | Experiment tracking | Failure recovery | Fine Tuning | GPU Performance | GPU Performance Optimization | Golang | Human Feedback | Inference frameworks | Knowledge Distillation | LLM Training | LLM training pipelines | Language Models | Large Language Models | Learning from Human Feedback | Machine Learning | Model versioning | Multi-node | Multi-node orchestration | Multimodal | Performance optimization | Policy Optimization | Preference optimization | PyTorch | Python | Reinforcement Fine Tuning | Reinforcement Learning | Reinforcement Learning from Human Feedback | Reward Modeling | Training pipelines | VLLM
Education
Roles
Regions
Countries
States
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