Research Engineer: AI Computer-Use & Vision RL

Menlo Ventures; New York (NY); Hybrid; USD 500,000 - 850,000; Full time

Benefits offered by this job

Competitive compensation and benefits

Equity donation matching (optional)

Generous vacation and parental leave

Flexible working hours

Office space

Job summary

Anthropic seeks a Research Engineer for the Computer Use team to advance Claude's ability to see, use, and understand software. You will translate research into production improvements across Anthropic's models and customer products.

The role blends research and product impact, with opportunities to work on RL environments, evaluation pipelines, and cross‑functional collaboration. A strong foundation in Python and ML is required, plus a passion for safety and societal impact.

Qualifications

• Software engineering experience and proficiency in Python.
• Experience training, fine‑tuning, or evaluating machine learning models.
• Strong communication skills and a collaborative working style.
• Care about the societal impacts and safety of your work.

Responsibilities

• Design and run experiments to improve Claude's perception and agentic capabilities
• Develop robust, reliable evaluation frameworks for measuring our models' ability to complete complex computer tasks
• Build and improve computer use and vision reinforcement learning training environments
• Create pipelines and tools to test and validate complex RL environments
• Collaborate with teams across the model training and infrastructure stack to improve our production training setup
• Partner with product teams to bring research advances into production

Skills

Python

ML models

Communication

Safety & impact

Education

Bachelor’s degree

Job description

Anthropic seeks a Research Engineer for the Computer Use team to advance Claude's ability to see, use, and understand software. You will translate research into production improvements across Anthropic's models and customer products.

The role blends research and product impact, with opportunities to work on RL environments, evaluation pipelines, and cross‑functional collaboration. A strong foundation in Python and ML is required, plus a passion for safety and societal impact.