Post-Training Agent Engineer - Computer Use

United States Digital Space LLC; San Francisco (CA); On-site; USD 100,000 - 150,000; Full time

Job summary

United States Digital Space LLC, located in San Francisco, is looking for a member of the Agent Post-Training team. This role focuses on training models to navigate computer environments and use tools effectively, directly impacting the company's next generation of agents.

You will work alongside researchers and engineers to design experiments, enhance model capabilities, and ensure that AI systems are beneficial and reliable for users.

The ideal candidate has a strong technical background and experience with machine learning systems, and must thrive in a dynamic, innovative setting.

Qualifications

• Strong technical fundamentals in machine learning, software engineering, systems, or statistics.
• Hands-on experience with LLMs, RL, or production ML systems.
• Comfortable working across research, product, infrastructure, and data.

Responsibilities

• Design and run experiments to improve model behavior for computer use.
• Own end-to-end improvements to the post-training stack.
• Collaborate with teams to understand user needs and translate into model improvements.

Skills

Machine learning fundamentals

Software engineering

Systems engineering

Statistics

Hands-on experience with LLMs

Experience in debugging models

Education

Degree in a related field

Tools

Python

RLHF tools

Machine learning frameworks

Job description

United States Digital Space LLC, located in San Francisco, is looking for a member of the Agent Post-Training team. This role focuses on training models to navigate computer environments and use tools effectively, directly impacting the company's next generation of agents.

You will work alongside researchers and engineers to design experiments, enhance model capabilities, and ensure that AI systems are beneficial and reliable for users.

The ideal candidate has a strong technical background and experience with machine learning systems, and must thrive in a dynamic, innovative setting.