Research Scientist, Robotics, Cloud AI

Share Research Scientist, Robotics, Cloud AI Google Kirkland, WA, USA Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. Benefits for this role include: Health, dental, vision, life, disability insurance Retirement Benefits: 401(k) with company match Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks Baby Bonding Leave: 18 weeks Holidays: 13 paid days per year PhD in Computer Science or robotics related fields, or equivalent practical experience. 2 years of experience in research across robotics domains, such as navigation, locomotion, manipulation, data collection for robot learning, sim-to-real transfer, vision-language-action model, or world action model development. One of more scientific publication submission(s) for conferences, journals, or public repositories (NeurIPS, ICML, ICLR, CoRL, RSS, ICRA, IROS, CVPR, ECCV, ICCV, etc. Experience coding in Python or C++. Preferred qualifications: 2 years of coding experience in Python or C++, as well as software frameworks such as PyTorch, JAX, ROS2, OpenCV. 1 year of experience owning and initiating research agendas. Experience building and scaling real-world robotic systems end-to-end, spanning custom data collection pipelines, model training, and physical deployment. Demonstrated ability to bridge theoretical algorithms with physical robotic hardware or high-fidelity simulation environments. About the job As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google . Develop novel techniques for robotic grasping, dexterous manipulation, planning, navigation, and 3D spatial understanding in dynamic physical environments. Design scalable teleoperation systems, portable data capture interfaces, and agent-assisted workflows to drive robot learning. Create advanced sim-to-real frameworks to enable scalable, generalized policy learning. Architect, test, and deploy robust hardware-software robotic systems to automate complex, high-precision physical workflows under real-world constraints. Partner with researchers, hardware specialists, and engineering teams to push the frontiers of physical AI across Google. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right. #J-18808-Ljbffr Google Inc.