At a Glance
- Tasks: Research and develop innovative AGI safety methods to tackle global challenges.
- Company: Join DeepMind, a pioneering AI lab focused on ethical advancements.
- Benefits: Competitive salary, diverse learning opportunities, and a commitment to public benefit.
- Other info: Dynamic team environment with exceptional career pathways.
- Why this job: Make a real impact in the future of AI safety and alignment.
- Qualifications: Bachelor's degree in Computer Science and 3 years of relevant experience.
The predicted salary is between 63000 - 77000 £ per year.
- Bachelor's degree in Computer Science, a related Software Engineering field, or equivalent practical experience.
- 3 years of experience in software development, ML engineering, or ML research.
- Experience working with research teams.
- Minimum qualifications
- Bachelor's degree in Computer Science, a related Software Engineering field, or equivalent practical experience.
- 3 years of experience in software development, ML engineering, or ML research.
- Experience working with research teams.
- Preferred qualifications
- Experience conducting or contributing to applied research to improve the safety and alignment of frontier AI systems.
- Experience with training large models (e. g., supervised finetuning, RLHF).
About The Job
The Artificial General Intelligence (AGI) Safety and Alignment Team (ASAT) aims to reduce existential and catastrophic risk from AGI and eventually Artificial Superintelligence (ASI).
We research novel techniques and work with the rest of GDM and Google to apply them.
We advise executive leadership on safety.
ASAT has sub-teams specialising in making future Geminis more thoroughly aligned by finding and fixing sources of misalignment and exploring alignment techniques with better generalization.
Preparing for future AGI risks by simulating them today and using interpretability techniques to understand AI and solve practical problems like model forensics or eval awareness.
Building control for GDM’s agents as defense-in-depth against potential misaligned internal deployments.
Researching training techniques, like debate, for aligning superhuman AI and ways to retain, improve, and measure monitorability.
Researching and implementing ways to assess the ways in which a given model might be imperfectly aligned and developing and implementing tools and AI assistance that accelerates safety research.
Advising executive leadership on risks posed by AI systems via the frontier safety framework based on our threat models and evaluations.
We are prioritising hires for deep alignment, alignment stress testing, language model interpretability, agent control, and amplified oversight.
We are looking to grow our team with researchers and engineers.
Depending on your background, we have opportunities available as both Research Scientists and Software Engineers.
Artificial intelligence will be one of humanity’s most transformative inventions.
At Google Deep Mind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users.
We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
We are pushing the boundaries across multiple domains.
Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
Responsibilities
- Research new alignment methods, studying alignment failures, and applying AGI-scalable alignment techniques to frontier models.
- Develop adversarially robust AGI control systems and implement them in production.
- Research interpretability techniques to understand what AI systems are ‘thinking’.
- Work with product teams to ensure that our research is correctly adopted.
Google is proud to be an equal opportunity workplace and is an affirmative action employer.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
See also Google's EEO Policy and EEO is the Law.
If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
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Research Engineer, AGI Safety and Alignment, DeepMind employer: Google DeepMind
At Google DeepMind, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among interdisciplinary teams. Our commitment to employee growth is evident through varied learning opportunities and career pathways, all while working on groundbreaking AI research that aims to solve complex global challenges. Located in a vibrant tech hub, our team enjoys the unique advantage of contributing to meaningful projects that have a widespread public benefit, ensuring that safety and ethics remain at the forefront of our mission.
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We think this is how you could land Research Engineer, AGI Safety and Alignment, DeepMind
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We think you need these skills to ace Research Engineer, AGI Safety and Alignment, DeepMind
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Google DeepMind.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Google DeepMind and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Google DeepMind
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Google DeepMind uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.