The Senior Research Engineer role at DeepMind focuses on optimizing machine learning models for on-device applications, particularly in robotics. The position involves collaborating with research and engineering teams to adapt Gemini Robotics models for low-latency environments. The engineer will leverage their expertise in model optimization and hardware acceleration to influence future model architectures. This role is integral to advancing AI technologies for real-world applications while maintaining a strong connection to research initiatives.

• Bachelor's degree in Computer Science, Electrical Engineering, or a related field or equivalent practical experience.
• 8 years of experience in optimizing machine learning models for resource-constrained environments.
• Experience in inference for Large Language Models (LLMs), including architectures like Mixture of Experts or diffusion models.
• Excellent programming skills in Python and C++.
• Excellent communication and collaboration skills, with a track record of driving and influencing cross-functional teams.

• Optimize model performance for on-device use cases in memory, power, and compute-constrained environments.
• Influence future Gemini model architectures to match unique robotics use cases.
• Optimize agent and system-level performance by orchestrating multiple models.
• Drive strong alignment between model architectures and hardware architectures.
• Engage directly with research, software engineering, and hardware engineering teams to deliver end-to-end solutions.

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