about 3 hours ago
Base Salary
$250k - $380k/yr
Responsibilities
- Design and run experiments to improve agentic model behavior.
- Own end-to-end improvements to the post-training stack.
- Build evals and environments to identify model failures.
- Partner with product teams to translate user needs into model improvements.
- Work on early-training and alignment interventions.
- Decide on integrations and capabilities for major model runs.
- Improve machinery for large-scale training and launch.
- Debug failures in shipped models and develop concrete solutions.
Requirements
- Strong technical fundamentals in machine learning, software engineering, or related fields.
- Hands-on experience with LLMs, RL, and production ML systems.
- Ability to tackle open-ended problems with research and engineering skills.
- Focus on product impact and model behavior.
- Capability to move from vague problems to concrete experiments.
- Comfortable working across various teams and communicating effectively.
- Willingness to build systems and processes as needed.