The Research Engineer position at DeepMind focuses on benchmarking foundation models for robotics. The role involves managing practical challenges and designing evaluation protocols to extract meaningful signals from physical policy execution. Engineers will collaborate with researchers to create experiments and develop robust frameworks for evaluating robot policies. This position is integral to advancing AI in the physical realm by building generalist robots that can perceive and act alongside humans.

• Bachelor’s degree in Computer Science, Robotics, or equivalent practical experience.
• 2 years of experience with machine learning tools and algorithms, specifically deploying LLMs/VLMs and deep learning models.
• Experience in a technical role such as software engineering, AI/ML engineering, or solutions architecture.
• Experience with Python and modern AI-assisted development tools.

• Design, implement, and maintain scalable frameworks for evaluating robot policies.
• Partner with researchers to maximize evaluation signal and stress-test model capabilities.
• Build diagnostic and visualization tools to root-cause policy failures and track performance regressions.
• Establish evaluation criteria for model releases and own the stability and benchmarking of models.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.