At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives, and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. Snapshot We are looking for an Operational Safety Engineer to join the Google DeepMind Robotics team. The engineer will collaborate with researchers to perform safety risk assessments, implement state of the art safety solutions on our robots and workcells, inform and guide safety policies and documentation, and help accelerate the development of emerging robotics capabilities. About Us At Google DeepMind Robotics, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in AI-enabled Collaborative Robots. Our mission is to responsibly build “Embodied AI” - a robot brain capable of turning natural language instructions into useful physical actions in human-centric environments - to improve the lives of billions of people in the physical world. The Role Operational Safety is a critical facet of responsible development of AI-enabled collaborative robots for human-centric environments. Typical work will include: + Performing Hazard and Risk Analysis for emerging Robotics Platforms + Provide expertise and guidance on Implementing state-of-the-art safety solutions on our robots and workcells, to enable safe data collection and model evaluation + Working closely with Google DeepMind Robotics Researchers to accelerate development of new capabilities while ensuring safety. + Coordinating with Environment, Health and Safety (EHS) teams to ensure consistency across GDM Robotics Labs. + Preparing Safety training materials + Helping evolve safety standards for AI-enabled collaborative robots About You In order to set you up for success as at Google DeepMind, we look for the following skills and experience: + PhD/MS in Computer Science or Robotics; or equivalent practical experience + Experience working with real-world robots, preferably Humanoid platforms + Strong exposure to Machine Learning/AI systems + Experience on solving practical Safety challenges, performing Risk Assessments + Working with different stakeholders to define and implement safety guidelines to ensure the safety of humans and robots in mixed environments, and also ensure that research velocity is not compromised + Understanding of ISO/RIA Safety Standards In addition, the following would be an advantage: + Publication track record in Robotics and/or Safety The US base salary range for this full-time position is between $161,000 - $275,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.