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You’ll be a good fit if you have
- Proficiency in building agentic systems and a strong command of modern ML frameworks.
- Bachelor’s degree with exceptional hands-on experience, or a recently completed PhD or Master’s in machine learning, AI, robotics, RL pipelines, multimodal models, or a related field.
- Deep understanding of agent orchestration, planning, and reasoning architectures.
- Hands-on experience with multimodal models, long-horizon agents, or real-world AI automation systems.
- Strong fundamentals in experimentation, rapid iteration, and shipping research to production.
Key Responsibilities
- Design planning and reasoning architectures for long-horizon computer-use agents.
- Train multimodal models that understand UI layouts, screenshots, and DOM structures.
- Build fast action-selection systems that operate across messy, real-world software.
- Improve reliability, latency, and robustness of deployed agents.
- Run experiments and rapidly ship improvements to production.
- Move quickly from idea to experiment to deployment within tight iteration cycles.
