Research Engineering Manager job opportunity at DeepMind.

Home Jobs In Same As Address Tag: Central Operations, Responsibility, and Engagement Research Engineering Manager position at DeepMind


bot
DeepMind Research Engineering Manager
Experience: 7-years
Pattern: full-time
Walk In
apply Apply Now
Salary:
Status:

Central Operations, Responsibility, and Engagement

Copy Link Report
degreeOND
Hiring inbound within Mountain View, California, US

Snapshot We are hiring a  Research Engineering Manager to lead frontier research projects within the Responsibility portfolio at Google DeepMind. The success of these projects is crucial for fulfilling Google DeepMind's mission to build AI responsibly to benefit humanity. The position involves leading teams, defining technical direction, and ensuring high-impact delivery across multiple projects that advance responsible AI development.    About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role We’re looking for an experienced Engineering Manager to lead and contribute to key research projects within our Responsibility portfolio. You will be responsible for setting the technical vision, steering execution, and ensuring the delivery of scalable ML systems that advance frontier AI safety. You must possess the strategic foresight to align technical roadmaps with Google DeepMind's broader goals and the communication skills to navigate complex stakeholder landscapes, from Research Scientists to executive leadership. You will manage a team of Research Engineers, fostering a culture of innovation and collaboration.   Key responsibilities:  Lead, mentor, and grow a team of Research Engineers. Partner with executive leadership to define the research strategy for advancing the frontier of AI responsibility and safety. Communicate the research strategy across executive leadership within GDM and our Google Partners, building collaborations across PAs and functional units. Define and communicate a strategic vision for aligning frontier research with Google's product roadmap. Oversee the design, development, and implementation of robust and scalable ML systems and tools. Communicate complex technical concepts, project statuses, risks, and opportunities clearly and concisely to various stakeholders, including researchers, engineers, and executive leadership. Keep up with the latest advancements in AI, machine learning, LLMs, and AI ethics and safety. About You In order to set you up for success as a Research Engineering Manager at Google DeepMind, we look for the following skills and experience:   7+ years of experience in a technical leadership role, with at least 3 years of experience managing engineering or research teams. Bachelor's degree in Computer Science, Engineering, Machine Learning, or a related technical field, or equivalent practical experience. Proven track record of leading and delivering complex, large-scale machine learning projects. Deep understanding and hands-on experience with state-of-the-art Machine Learning techniques, particularly in Deep Learning and Large Language Models (LLMs). Fluency and experience with common ML frameworks (e.g., TensorFlow, PyTorch, JAX) necessary to guide Senior Research Engineers in scaling for LLMs and deep learning. Excellent communication and interpersonal skills, with the ability to explain technical concepts to both technical and non-technical audiences, including executive leadership. Demonstrated ability to work flexibly across multiple projects and successfully adapt to evolving priorities in a fast-paced research driven environment. In addition, some of the following would be an advantage: Master's or PhD in Computer Science, Machine Learning, or a related field. Experience working in AI ethics, safety, or responsibility research. Experience with large-scale data processing and distributed systems. Publications or contributions to the machine learning research community. Familiarity with the sociotechnical aspects of AI systems. The US base salary range for this full-time position is between $248,000 - $349,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Application deadline: Friday 31st Dec 2025  Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy 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.

Other Ai Matches

Director AGI Economics Applicants are expected to have a solid experience in handling Post-AGI related tasks
ABP, Gemini Applicants are expected to have a solid experience in handling GeminiApp related tasks
Machine Learning Software Engineer, GeminiApp Agents and Tool Use Applicants are expected to have a solid experience in handling GeminiApp related tasks
Privacy Engineering Lead, Generative AI Privacy & Security Applicants are expected to have a solid experience in handling GenAI related tasks
Product Manager, Gemini App Integrated Assistance Applicants are expected to have a solid experience in handling GeminiApp related tasks
Product Manager, Gemini in Chrome, Gemini App Applicants are expected to have a solid experience in handling GeminiApp related tasks
Senior Manager, Business Data & Analytics Applicants are expected to have a solid experience in handling Central Operations, Responsibility, and Engagement related tasks
Product Manager, Acquisition, Gemini App Applicants are expected to have a solid experience in handling GeminiApp related tasks
iOS/Swift Engineer, Project Janus Applicants are expected to have a solid experience in handling GeminiApp related tasks
Staff Mechanical Engineer, Gemini Robotics Applicants are expected to have a solid experience in handling Frontier AI related tasks
Research Engineering Manager Applicants are expected to have a solid experience in handling Central Operations, Responsibility, and Engagement related tasks
Senior Staff UX Researcher, Gemini App Applicants are expected to have a solid experience in handling GeminiApp related tasks
Product Manager, Gemini App for Devices Applicants are expected to have a solid experience in handling GeminiApp related tasks
Research Engineer, Frontier Safety Risk Assessment Applicants are expected to have a solid experience in handling GenAI related tasks
Staff Research Engineer, AI Products - Mountain View Applicants are expected to have a solid experience in handling GenAI related tasks
ML HW-SW Co-design Software Manager Applicants are expected to have a solid experience in handling GenAI related tasks
Research Engineer, CBRN Applicants are expected to have a solid experience in handling Central Operations, Responsibility, and Engagement related tasks
Team Lead, Research Engineering, AI for Chip Design Applicants are expected to have a solid experience in handling GenAI related tasks
Research Engineer - ACE Applicants are expected to have a solid experience in handling GenAI related tasks
AI Product Designer, GeminiApp iOS Core Experience Applicants are expected to have a solid experience in handling GeminiApp related tasks
Internal Communications, Unit Manager for Science and Frontier-AI Units Applicants are expected to have a solid experience in handling Central Operations, Responsibility, and Engagement related tasks
Research Scientist, Biosphere Models Applicants are expected to have a solid experience in handling Frontier AI related tasks
Research Scientist/Engineer, Model Threat Defense Applicants are expected to have a solid experience in handling GenAI related tasks