Senior Deep Learning Scientist, Multimodal Agentic RL

Tasks

• Advance post training and alignment methods
• Collect develop and benchmark multimodal datasets
• Develop planning tool execution and long horizon task completion
• Develop train fine tune deploy large language models for agentic systems
• Evaluate model accuracy safety and task completion success
• Implement reinforcement learning from human feedback
• Manage dataset versioning experiment tracking and evaluation pipelines
• Optimize preferences
• Perform instruction tuning
• Research agentic reasoning and grounded perception

Perks/Benefits

• N/A

Skills/Tech-stack

Dataset versioning | Deep learning | Distributed Training | Experiment tracking | Instruction Tuning | MDP | Machine Learning | Mixture of Experts | Policy Optimization | Preference optimization | PyTorch | Python | RLHF | Reinforcement Learning | Reward Design | Transformers