about 3 hours ago
Base Salary
$250k - $280k/yr
Responsibilities
- Develop RL environments for agentic tasks, including task definitions and reward design.
- Create verifiers and grading systems to assess agent performance reliably.
- Build fine-tuning pipelines that translate evaluation signals into agent improvements.
- Design evaluation systems to measure model and product quality through agent trajectories.
- Establish training and serving infrastructure that meets the needs of frontier labs.
Requirements
- Minimum of 3 years of experience shipping reliable systems.
- Strong system and API design judgment with the ability to make architectural decisions.
- Proficiency in Python and familiarity with the full tech stack.
- Experience fine-tuning models for agentic tasks using SFT and RL methods.
- Ability to debug training runs and reason about compute-economics.
Benefits
- High-impact work environment with rapid career growth opportunities.
- Collaborative culture focused on technical excellence and innovation.
- Hybrid work model with flexibility and in-office collaboration.
- Opportunity to work with leading investors and top-tier clients in AI.
Tech Stack
Categories
AI & MLData Engineering