Responsibilities
- Perform research to advance the state of the art in our multi-agent ecosystem
- Work with researchers and engineers in a highly collaborative environment to achieve goals and milestones
- Influence the future of research in frontier modeling with detailed technical reports
- Work towards long-term goals, while identifying intermediate milestones
- Influence progress of relevant research communities by producing publications
Minimum Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- A PhD in AI, computer science, data science, science/engineering, or related technical fields
- First-authored or last-authored publications at peer-reviewed conferences, such as ICML, NeurIPS, ICLR, and other similar venues
- 1+ years experience holding an industry, postdoctoral, faculty, or government researcher position
- Research background in machine learning, artificial intelligence, computational statistics, or applied mathematics
- Experience in developing and debugging in Python or similar programming languages
Preferred Qualifications
- Research and engineering experience demonstrated via publications, grants, fellowships, patents, open source code
- Experience collaborating in a team environment on research projects
- Experience in applying AI systems to solve science and engineering problems
$154,000/year to $217,000/year + bonus + equity + benefits
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