Building end-to-end automated research systems to accelerate the process of problem-solving & scientific discovery.
Requirements
- Expertise in developing long horizon. multi-agent systems and/or model post-training, with a focus on capabilities.
- Even better if built for scientific domains and/or open-ended discovery purposes.
Responsibilities
- Design & implement novel architectures for automated research.
- Collaborate with a focused group of researchers tackling problems at the forefront of long-horizon agentic capabilities, post-training for open-ended goals, and environment development.
- Publish internal key-findings along with external collaboration success stories.
Other
- PhD or equivalent research experience in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
- Exceptional candidates with strong research contributions are encouraged to apply regardless of formal degree.
- Proven track-record of high-impact AI/ML research contributions in either the academic or corporate settings.
- Passion for accelerating the process of problem-solving & scientific discovery, with comfort in high-autonomy roles & environments.
- Competitive salary & equity packages.
- Unlimited PTO with a focus on on-site team-building & communal work environment.
- Conference attendance & involvement in community-facing events.
