Research Scientist, Verified Code Generation

On-site in London·Added 1 month ago

Google

168 open roles

Apply

Overview

Requirements

Work on-site in London
No relocation package mentioned.
Have 4+ years of experience
Mid-level role.

Skills

Requirements

Minimum qualifications:

PhD 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.

The role

Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, 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

Learn more about benefits at Google. 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.

Responsibilities

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.

Hiring process

4 steps3 interviewsa task to do6–8 weeks in all

Apply online
Assessments
Online test · Not every role
You may be asked to take the Google Hiring Assessment (workstyle skills) and, for some roles, role-related assessments such as a coding exercise.
Recruiter conversations
With a recruiter · Phone call · 1–2 sessions
One or two shorter conversations assessing key skills, sharing information about the organisation and team, and asking about your preferences such as location.
Project work
In your own time · Not every role
For some roles, a small project before interviews: a case study, writing or code samples.
Interviews
With a rotating cast of Googlers
A panel of structured interviews, over video or in person, with a rotating cast of Googlers; open-ended role-related questions scored against the same rubric for every candidate, no brainteasers.
Decision and offer · With a recruiter

Structured interviews: every candidate for a role is scored against the same rubric; no brainteasers.
AI tools are not permitted during interviews.
For some roles, pre-selected interviews happen virtually before final interviews onsite.