Member of Technical Staff — Agent Post-Training

Moonlake is hiring a Member of Technical Staff to lead reinforcement learning infrastructure and model post-training. The role focuses on improving multimodal and code-generating agents through fine-tuning, reinforcement learning, trajectory data, and scalable evaluation.

Responsibilities:

• Build RL and post-training pipelines for multimodal, vision-language, and code-generating agents
• Develop infrastructure for supervised fine-tuning, preference optimization, reward modeling, and reinforcement learning
• Create systems for collecting, filtering, replaying, and learning from agent trajectories
• Design rewards, verifiers, and evaluations for long-horizon agent tasks
• Improve agents’ ability to plan, write and execute code, use tools, recover from errors, and complete complex workflows
• Scale distributed training and high-throughput rollout generation across multi-GPU environments
• Improve training reliability, reproducibility, observability, and cost efficiency
• Help define Moonlake’s long-term strategy for agent, robotics, and embodied-model training