10 months ago
Base Salary
$250k - $300k/yr
Responsibilities
- Create frameworks and tools to construct, train, benchmark, and evaluate autonomous agent capabilities.
- Design agent-focused data programs using supervised fine-tuning and reinforcement learning methodologies.
- Develop data pipelines from diverse sources like code repositories, web browsers, and computer systems.
- Implement and adapt popular open-source agent libraries and benchmarks with proprietary datasets and models.
- Engage with research teams in frontier AI labs to understand evolving agent data needs.
- Collaborate closely with frontier AI lab customers to understand requirements and guide model development.
- Publish research findings in academic journals, conferences, and blog posts.
Requirements
- Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or related field.
- At least 3 years of experience addressing sophisticated ML problems with successful delivery to customers.
- Experience building and training autonomous agents across browsers/GUI, codebases, and databases using SFT and RL.
- Constructed and evaluated agentic benchmarks and reliability/efficiency suites.
- Adept at interpreting research literature and quickly turning new ideas into prototypes.
- Deep understanding of frontier models and their human data requirements.
- Proficient in Python, data science libraries, and deep learning frameworks.
- Strong analytical and problem-solving abilities in ambiguous situations.
- Excellent communication skills.
- Track record of publications in top-tier AI/ML venues.
Benefits
- High-impact environment with rapid career growth tied to contributions.
- Work at the cutting edge of AI development with industry leaders.
- Celebration of ownership, speed, and impact in a fast-paced environment.
- Continuous learning and evolution in a collaborative atmosphere.
- Clear ownership of responsibilities with autonomy to execute.