Member of Technical Staff — Agent Post-Training

What you'll do

• Build RL and post-training pipelines, including supervised fine-tuning, preference optimization, and reward modeling.
• Develop trajectory-data systems, rewards, verifiers, and evaluations for long-horizon agent tasks.
• Scale distributed training and rollout generation, improving reliability, reproducibility, observability, and cost efficiency.

What they ask for

• Real-world experience training large language, vision-language, multimodal, or code models.
• Strong experience in reinforcement learning, post-training, or large-scale fine-tuning.
• Experience building distributed training or high-throughput inference systems.
• Strong Python skills and experience with PyTorch, JAX, or similar frameworks.

Nice to have

• Experience at a frontier AI lab or organization operating large-scale training systems.
• Experience with code-model post-training, autonomous coding agents, multimodal models, robotics, simulation, or embodied AI.

Tools

Python, PyTorch, JAX

AI focus

Post-training and reinforcement learning for multimodal, vision-language, and code-generating agents, including agentic RL, trajectory learning, and embodied-model training.