At a Glance
- Tasks: Develop AI agents for generating verified code and conduct experiments in proof search.
- Company: Join Google DeepMind, a leading AI lab transforming technology for global challenges.
- Benefits: Competitive salary, bonuses, equity, and comprehensive benefits package.
- Other info: Dynamic team environment with diverse career pathways and learning opportunities.
- Why this job: Be at the forefront of AI innovation and make a real-world impact.
- Qualifications: PhD in programming languages or related field with experience in software verification.
The predicted salary is between 63000 - 77000 £ per year.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; London, UK.
Minimum qualifications
- Ph D degree in programming languages, formal methods, or a related area, or equivalent practical experience.
- 4 years of experience with real-world software verification and bug-finding.
- 3 years of experience with proof assistants (Lean, Rocq, or similar) or SMT-solvers.
Preferred qualifications
- Experience with formalizing the semantics of real-world languages.
- Track record of publications at top computer science venues.
About the job
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 various learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
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
Responsibilities
Learn more about benefits at Google.
- Develop and improve AI agents that generate formally verified code, algorithms, and mathematical proofs using the Lean proof assistant.
- Formalize the semantics of programming languages (e. g., C/C++) in Lean and build verified static analyses on top of these formalizations.
- Design and run experiments evaluating AI-driven proof search, including benchmarking against open problems in mathematics and real-world codebases.
- Build infrastructure for applying formal verification at scale, translating code, orchestrating proof search, and integrating with Google-internal tools and models.
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 Scientist, Verified Code Generation, 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.
StudySmarter Expert Advice🤫
We think this is how you could land Research Scientist, Verified Code Generation, DeepMind
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Google DeepMind or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
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We think you need these skills to ace Research Scientist, Verified Code Generation, 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.
