AIML - Foundation Model Post-Training Research Scientist
Tasks
- Advance decision making and planning for agentic intelligence
- Deploy large scale ML systems to devices
- Design multimodal model architectures
- Develop and apply RL techniques for foundation model training
- Evaluate model performance and reasoning
- Lead reinforcement learning for large language models
- Optimize large scale models for efficiency
- Train and refine foundation models
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic AI | Decision Making | Deep learning | Generative Modeling | JAX | LLM Training | Language Models | Language Processing | Large Language Models | Model Optimization | Multimodal Learning | Natural Language | Natural Language Processing | Planning | PyTorch | Python | Reinforcement Learning
Education
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