Staff AI Research Engineer for Physics Discovery Platforms

Physical Superintelligence; Boston (MA); On-site; USD 120,000 - 170,000; Full time

Job summary

Physical Superintelligence in Boston seeks engineers to build platform infrastructure at the intersection of computational science and AI. The role involves developing AI agents for physics reasoning and collaborating with physicists and engineers.

A PhD in a quantitative field is required, alongside experience with reinforcement learning and modern ML frameworks. Competitive compensation, including salary and equity, is offered.

Qualifications

• PhD with recent publications in top ML venues.
• Experience building agents and training models.
• Proficiency with modern ML frameworks.

Responsibilities

• Build and train AI agents for physics reasoning.
• Design evaluation workflows for AI systems.
• Publish results that advance AI for science.

Skills

Reinforcement learning

Machine learning frameworks

Distributed training

Physical reasoning

Education

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

Tools

PyTorch

JAX

Ray

Job description

Physical Superintelligence in Boston seeks engineers to build platform infrastructure at the intersection of computational science and AI. The role involves developing AI agents for physics reasoning and collaborating with physicists and engineers.

A PhD in a quantitative field is required, alongside experience with reinforcement learning and modern ML frameworks. Competitive compensation, including salary and equity, is offered.