Staff Software Engineer, Generative AI, Core ML
Tasks
- Architect Reinforcement Learning workflows for agentic tasks
- Build middleware layer for tuning and adaptation
- Create intelligence assets for specialized student models
- Design reward systems and simulation environments
- Develop training recipes for reasoning self correction and tool use
- Evaluate and train agent models
- Implement adaptation techniques for latency and cost constraints
- Scale prototypes into production libraries
- Validate novel reinforcement learning and reward modeling approaches
Perks/Benefits
- N/A
Skills/Tech-stack
AI Feedback | Computer Vision | Data Processing | Deep learning | Digital Twin | Direct Preference Optimization | Fine Tuning | Human Feedback | JAX | Knowledge Distillation | Language Models | Large Language Models | Learning from Human Feedback | LoRA | Machine Learning | Model Deployment | Model Evaluation | Multi-Modal | Multi-Modal Learning | Multimodal Learning | Policy Optimization | Preference optimization | Proximal Policy Optimization | PyTorch | Python | Quantization | Reinforcement Learning | Reinforcement Learning from AI Feedback | Reinforcement Learning from Human Feedback | Reinforcement learning workflows | Reward Modeling | Reward System | Simulation Environment | Supervised Fine Tuning | Supervised Learning
Education
Roles
Regions
Countries
States
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