Member of Technical Staff - ML Engineer

Location: Cambridge, Massachusetts, United States; hybrid, three days a week in the office.

Salary: $200,000–$300,000 per year.

Company

Startup building AI systems for physics research, initially focused on power and cooling challenges in AI data centers.

What you will do

• Turn research code into reliable, tested services used by others.
• Build and maintain ML infrastructure for production training or inference.
• Develop systems in one primary area: training, model serving, ML platforms, or agent, gateway, and evaluation infrastructure.
• Personally investigate and resolve production failures.
• Work directly with researchers and technical leadership while taking early ownership of critical systems.

Requirements

• 3+ years of experience operating production ML training or inference infrastructure and building software used by others.
• Deep expertise in one of the following areas: training, model serving, ML platforms, or agent/gateway/evaluation infrastructure.
• Experience turning research code into tested services and personally resolving production failures.

Nice to have

• CUDA or ML performance optimization experience.
• Cloud infrastructure experience.
• Experience working within research teams.

Culture & Benefits

• Hybrid work with three office days per week in Cambridge, Massachusetts.
• Small team with backgrounds including NVIDIA and Google.
• Direct collaboration with researchers and technical leadership.
• Early ownership of systems used in AI data center research.

Hiring process

• Initial conversation about the team and role.