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For Companies At a Glance
- Tasks: Lead innovative research projects in responsible AI and manage a dynamic team of engineers.
- Company: Join Google DeepMind, a leader in AI development for the benefit of humanity.
- Benefits: Competitive salary, equity options, and a commitment to diversity and inclusion.
- Why this job: Make a real impact in AI ethics while working with cutting-edge technology.
- Qualifications: 7+ years in technical leadership and deep expertise in machine learning required.
- Other info: Flexible work environment with opportunities for professional growth and collaboration.
The predicted salary is between 72000 - 100000 £ per year.
Snapshot
We are hiring a Research Engineering Manager to focus on a range of research projects within the Responsibility portfolio at Google DeepMind. This role 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 manage a team of Research Engineers, fostering a culture of innovation and collaboration. You will be responsible for setting the technical vision, guiding project execution, and ensuring alignment with Google DeepMind\’s broader strategy for responsible AI. This role requires a unique blend of deep technical expertise in Machine Learning and Large Language Models, strong leadership skills, and the ability to navigate complex projects and stakeholder landscapes. You will work closely with Research Scientists, Product Managers, and other engineering teams to deliver impactful results and communicate progress effectively to both technical and executive audiences.
Key responsibilities
- Lead, mentor, and grow a team of Research Engineers.
- Define and drive the technical strategy and roadmap for research projects within the Responsibility portfolio.
- Oversee the design, development, and implementation of robust and scalable ML systems and tools.
- Ensure projects are well-defined, resourced, and executed efficiently to meet research and organizational objectives.
- Collaborate with cross-functional teams (e.g., Research, Product, Policy) to identify and address key challenges in responsible AI.
- Communicate complex technical concepts, project statuses, risks, and opportunities clearly and concisely to various stakeholders, including researchers, engineers, and executive leadership.
- Foster strong relationships with internal and external collaborators.
- Stay abreast of the latest advancements in AI, machine learning, LLMs, and AI ethics and safety.
- Connect project work to the organization\’s strategic goals for responsible AI development.
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 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).
- Strong programming skills, preferably in Python, and experience with common ML frameworks (e.g., TensorFlow, PyTorch, JAX).
- Excellent communication and interpersonal skills, with the ability to explain technical concepts to both technical and non-technical audiences, including executive leadership.
- Experience in strategic planning and connecting technical projects to broader organizational goals.
- Ability to work flexibly across multiple projects and adapt to evolving priorities.
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.
- Experience working in a fast-paced, research-driven environment.
- 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 October 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.
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Research Engineering Manager employer: The Rundown AI, Inc.
Contact Detail:
The Rundown AI, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Engineering Manager
✨Tip Number 1
Network like a pro! Reach out to people in your field, attend industry events, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by researching the company and its projects. Understand their mission and values, especially around responsible AI. This will help you tailor your responses and show that you're genuinely interested in what they do.
✨Tip Number 3
Practice your communication skills! Being able to explain complex technical concepts clearly is key. Try explaining your past projects to friends or family who aren’t in tech – if they get it, you’re on the right track!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Research Engineering Manager
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in leading engineering teams and managing complex ML projects. We want to see how your skills align with our mission at Google DeepMind!
Showcase Your Technical Expertise: Don’t hold back on detailing your hands-on experience with Machine Learning techniques, especially in Deep Learning and LLMs. We’re keen to see your programming skills in action, so mention any relevant frameworks you’ve worked with.
Communicate Clearly: Remember, we value clear communication! Use straightforward language to explain your past projects and how they connect to responsible AI development. This will help us understand your thought process and technical vision.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensure you’re considered for this exciting opportunity at Google DeepMind!
How to prepare for a job interview at The Rundown AI, Inc.
✨Know Your Stuff
Make sure you brush up on the latest advancements in AI, machine learning, and LLMs. Be prepared to discuss your hands-on experience with these technologies, as well as any complex projects you've led. This will show that you're not just familiar with the theory but can also apply it practically.
✨Showcase Your Leadership Skills
As a Research Engineering Manager, you'll need to demonstrate strong leadership abilities. Prepare examples of how you've successfully managed teams, fostered collaboration, and driven technical strategies in previous roles. Highlight your mentoring experiences and how you've helped team members grow.
✨Communicate Clearly
You'll be expected to explain complex technical concepts to both technical and non-technical audiences. Practice articulating your thoughts clearly and concisely. Consider using analogies or simple language to make your points more relatable, especially when discussing project statuses and risks.
✨Connect the Dots
Be ready to discuss how your past projects align with broader organizational goals, particularly in responsible AI development. Think about how your work has contributed to ethical considerations and safety in AI. This will show that you understand the bigger picture and are committed to the mission of Google DeepMind.
