Senior / Lead Research Scientist

Skills

About the Role

You will take unclear research problems and make them clear. You will frame research questions, run experiments, evaluate model quality and failures, and turn results into shipped outcomes. You will work across foundation models, evaluation, and frontier AI topics, while communicating professionally in English with US-based leadership and engineering colleagues.

Requirements

• Demonstrate relevant experience in enough of the listed areas to make a case for the role.
• Have experience with foundation models, including training, architectures, reinforcement learning, reward modeling, or scaling.
• Have experience with evaluation, including benchmarks, evaluation loops, quality measurement, LLM-as-judge, or failure analysis.
• Have experience in frontier topics such as multimodal models, agents, tool use, test-time compute, or world models.
• Have published research at ICML, ICLR, NeurIPS, EMNLP, ACL, or AAAI, or demonstrate equivalent relevant experience.
• Hold a PhD in machine learning or natural language processing, or have equivalent practical experience.
• Demonstrate non-trivial AI side projects, interdisciplinary experiments, or open-source contributions.
• Demonstrate full-stack research ownership.
• Have professional written and spoken English fluency.

Responsibilities

• Frame research questions and design experiments.
• Run experiments and analyze results.
• Develop and use evaluation loops, benchmarks, quality measurements, and failure analysis.
• Own research end to end, from framing questions through shipping results.
• Contribute to research on foundation models, multimodal models, agents, tool use, test-time compute, or world models.
• Collaborate daily in written and spoken English with US-based leadership and engineering teams.