Staff Machine Learning Engineer - Vision-Language Foundation Models
Mountain View, California, United States
USD 251K-310K Senior-level Full Time
Tasks
- Apply preference optimization algorithms to model training
- Architect inference and evaluation data flywheel pipelines
- Autonomously source sample and autolabel edge cases
- Construct large scale multimodal pre training datasets
- Define data mixture strategies for domain adaptation
- Design and implement reinforcement learning from AI feedback pipelines
- Design and implement reinforcement learning from human feedback pipelines
- Design and implement supervised fine tuning pipelines
- Establish engineering practices from prototyping to production
- Establish scaling best practices for multimodal training
- Lead cross functional ML strategy for autonomous driving stack
- Lead multimodal pre training dataset strategy
- Mentor senior engineers and lead design reviews
- Optimize model architectures token budgets and loss functions
- Own foundation model technical roadmap
- Run ablation studies for training recipes
Perks/Benefits
Skills/Tech-stack
AI Feedback | Ablation Studies | Autolabeling | Chain-of-Thought | DPO | Data Engineering | Distributed Training | Evaluation Pipeline | FSDP | Fine Tuning | GPU scaling | GRPO | Human Feedback | Inference pipeline | JAX | Learning from Human Feedback | Megatron | PPO | Pretraining | PyTorch | Python | Reinforcement Learning | Reinforcement Learning from AI Feedback | Reinforcement Learning from Human Feedback | Spatial Temporal Reasoning | Supervised Fine Tuning | TPU Scaling | Temporal reasoning | Tokenization
Education
Regions
Countries
States
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