Formal Methods Research and Development
Jane Street is hiring a Formal Methods Research and Development in London, United Kingdom. Level rates it ; you can apply on Jane Street.
Level's read on this job
- Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
- The posting mentions Ocaml, program verification and static analysis among its tools and skills.
- Level classes it as an internship.
- Jane Street has 218 other open roles on Level.
- Posted in the last few days.
AI in this role
Research intern to develop formal methods tooling for validating agent-generated code and correctness in OCaml.
About the position
We're opening our first internships in the Formal Methods group of our OCaml Language team, which develops language features and tooling for correctness reasoning and bug finding in OCaml programs. With the emergence of agentic programming, we think formal methods will play a major role in helping validate agent-generated code and providing feedback for agents. Our vision is to make formal methods as useful a tool for building software as type systems are for us today, both by leveraging existing tools and technology, and pursuing novel approaches.
During the internship, we want to give you a real sense of what it's like to work at Jane Street full time while also providing a truly unparalleled educational experience. You'll be paired with full-time employees who act as mentors, collaborating with you on a real-world project that combines your research background with one of our active projects, such as adding support for property-based testing of formal specifications or developing a refinement type system for functional correctness verification. You’ll have the opportunity to evaluate the tools you develop on a large, actively developed production codebase. You'll also be able to attend guest speakers and social events, and hopefully get a real sense of what it would be like to work here full-time.
There is plenty of work on combining agents and formal methods. What’s different at Jane Street is that we aren't stuck designing verification tools for legacy languages: we can modify and improve OxCaml, our branch of OCaml, and its development environment to make them well-suited for proof-driven software development. Moreover, we have a community of excellent programmers who are eager to adopt these tools and apply them to real software.
Learn more about Jane Street's internship program here.
About you
We're looking for PhD students, postdocs, and masters students with outstanding research experience in program verification, programming language semantics, property-based testing, static analysis, model checking, and related areas. You should be
- A strong programmer who enjoys collaborating in small teams
- Excited to turn research ideas into practical tools
- Intellectually curious, humble and unafraid to ask questions
- Fluent in English
We don't expect you to have a background in finance, OCaml, or functional programming.
How we rate this
Formal Methods Research and Development at Jane Street rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where program verification was part of your work. What did you do?
- Tell me about a project where static analysis was part of your work. What did you do?
- Tell me about a project where model checking was part of your work. What did you do?
- Tell me about a project where formal methods was part of your work. What did you do?
- Walk me through how you've used Ocaml in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Program Verification, Static Analysis, Model Checking, Formal Methods, and Ocaml. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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