Artifact & Post-Training Research Scientist

United States Digital Space LLC; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

United States Digital Space LLC in San Francisco is seeking a skilled individual to join their Agent Post-Training team. This role focuses on training advanced AI models to create useful artifacts such as reports and dashboards. It involves significant collaboration with researchers, engineers, and product teams to refine model capabilities and improve user experience.

The ideal candidate should have a background in machine learning and experience with reinforcement learning. The company values diversity and is committed to equal opportunity in hiring.

Qualifications

• Strong technical fundamentals in ML, software engineering, statistics, or a related field.
• Hands-on experience with LLMs, RL, evals, and synthetic data.
• Ability to tackle open-ended problems and derive concrete experiments.

Responsibilities

• Design and run experiments to improve agent behavior.
• Own end-to-end improvements to the post-training stack.
• Collaborate with product teams to understand user needs.

Skills

Machine learning fundamentals

Software engineering

Statistics

Reinforcement learning experience

Experience with LLMs

Education

Degree in a related field

Job description

United States Digital Space LLC in San Francisco is seeking a skilled individual to join their Agent Post-Training team. This role focuses on training advanced AI models to create useful artifacts such as reports and dashboards. It involves significant collaboration with researchers, engineers, and product teams to refine model capabilities and improve user experience.

The ideal candidate should have a background in machine learning and experience with reinforcement learning. The company values diversity and is committed to equal opportunity in hiring.