Research, General Agents

Job summary

Responsibilities

This role is responsible for advancing the agentic capabilities of our models, with ownership spanning the full development cycle. Our research team is small, and the role carries a corresponding degree of autonomy and responsibility.

• Build a synthetic data framework used across the team, and create new task environments to scale training across agentic capabilities such as tool use, long-horizon tasks, and…
• Address identified gaps through data and recipe work, validating proposed changes through controlled ablations.
• Enhance usability for agent capabilities end to end, translating internal and external feedback into model improvements.

What they're looking for

• Strong engineering skills, ability to contribute code and debug in complex codebases.
• Ability to design, run, and interpret experiments with scientific rigor and clarity.
• Proficiency in Python and familiarity with at least one deep learning framework (e.g., PyTorch, TensorFlow, or JAX).
• Bachelor’s degree or equivalent experience in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline with strong theoretical and empirical grounding.
• Clarity in communication, an ability to explain complex technical concepts in writing.

Tech stack

• Python
• PyTorch
• TensorFlow
• JAX