Frontier AI Research Engineer — Responsible AI & Safety

Google Inc.; New York (NY); On-site; USD 207,000 - 300,000; Full time

Job summary

Google DeepMind is seeking a Share Research Engineer for Responsible Frontier AI Research in New York. You will design and prototype scalable ML solutions, run rigorous experiments, and collaborate with researchers to advance Responsible AI.

The role emphasizes engineering rigor, collaboration with scientists, and ethical AI evaluation. Applicants should have a PhD or Masters preferred, with strong Python/C++ skills and experience in safety-focused ML research, and will work within a highly

Qualifications

• Bachelor's degree in Computer Science, Machine Learning, Mathematics, or related technical field.
• 8 years of experience in machine learning engineering or large-scale software systems.
• 3 years of experience in Python programming.
• 3 years of experience with ML frameworks such as JAX, PyTorch, or TensorFlow.

Responsibilities

• Design, prototype, scale engineering solutions and run rigorous experiments to address research priorities within the Responsible AI portfolio.
• Collaborate with Research Scientists to advance the state of the art in Responsible AI.
• Act as a technical anchor for the team, establishing best practices for code quality, scalability, and system design.
• Present complex engineering trade-offs and research results clearly to cross-functional stakeholders and leadership.

Skills

Python programming

ML systems

Education

Bachelor's degree in CS/ML/math or related field

Tools

JAX

PyTorch

TensorFlow

C++

Job description

Google DeepMind is seeking a Share Research Engineer for Responsible Frontier AI Research in New York. You will design and prototype scalable ML solutions, run rigorous experiments, and collaborate with researchers to advance Responsible AI.

The role emphasizes engineering rigor, collaboration with scientists, and ethical AI evaluation. Applicants should have a PhD or Masters preferred, with strong Python/C++ skills and experience in safety-focused ML research, and will work within a highly