Staff AI Research Engineer for Physics Discovery Platforms

Physical Superintelligence; United States; Hybrid; USD 100,000 - 160,000; Full time

Benefits offered by this job

Competitive salary

Benefits

Early-stage equity

Job summary

Physical Superintelligence in Boston is seeking engineers to build platform infrastructure that combines computational science and AI systems. Candidates should have a PhD in a relevant field and experience in reinforcement learning and modern ML frameworks.

This role involves collaborating with physicists and publishing research to advance AI for scientific discovery. Comprehensive compensation packages and early-stage equity are offered, with considerations for remote work.

Qualifications

• PhD with a track record of publications in top venues.
• Experience building agents with reinforcement learning.
• Proficient in modern ML frameworks and distributed training.
• Strong background in physics or mathematics.

Responsibilities

• Build and train AI agents to perform physics.
• Design evaluation workflows for physics reasoning.
• Publish results to advance AI for science.
• Collaborate with physicists and engineers to ship systems.

Skills

Reinforcement learning

Machine learning frameworks

Distributed training

Physics or mathematics intuition

Education

PhD in machine learning, computer science, physics, mathematics, or related field

Tools

PyTorch

JAX

Ray

Job description

Physical Superintelligence in Boston is seeking engineers to build platform infrastructure that combines computational science and AI systems. Candidates should have a PhD in a relevant field and experience in reinforcement learning and modern ML frameworks.

This role involves collaborating with physicists and publishing research to advance AI for scientific discovery. Comprehensive compensation packages and early-stage equity are offered, with considerations for remote work.