ML Research Intern

About us

Telluvian is a London-based, VC-backed pre-seed startup. We use mechanistic interpretability, our understanding of what's happening inside neural networks, to make AI cheaper and more secure. Learn more at www.telluvian.ai.

The role

We're looking for an intern to work on the interpretability questions our research and product depend on. This is primarily a research role rather than an engineering one, but you'll need to be a competent enough engineer to run your own experiments. Confident Python is the bar; frontend skills aren't expected.

You'll join a team of fewer than ten people, and you'll be given a real research question rather than a manufactured one. You'll have someone senior to go to when you're stuck, but a lot of the work will still be yours to figure out.

This is a full time position with flexible working hours. We ask that you're in person in the London office a minimum of four days a week.

We recruit interns on a rolling basis, so start dates are flexible. Tell us when you're available.

What you'll do

• Run interpretability experiments on pre-trained models, and work out what the results actually mean.
• Build the tooling your own experiments need. This is the part we expect you to learn on the job.
• Communicate your findings clearly, to technical and non-technical people alike.
• Keep on top of published work, not easy in a field that moves faster than the literature.

What we're looking for

• Currently studying, or recently graduated from, a computer science or a related STEM subject.
• Comfortable writing Python.
• Some exposure to machine learning through coursework, personal projects, or self-study.
• Curious, self-motivated, and happy working in a small, fast paced team.
• A drive towards understanding pre-trained models. This is the attribute we weight most heavily.
• Self-motivated. You'll be working with support available rather than instruction given.

Nice to have

• Experience with standard python frameworks i.e. NumPy PyTorch and Transformers.
• Prior research experience of any kind, including projects you can talk us through.
• Eagerness to start your own projects.
• Prior interpretability work, though we mean it when we say it isn't required.
• A long-standing interest in machine learning and computational research.
• Any exposure to serving or scaling ML models.

What we offer

• Close proximity to frontier interpretability research, and direct access to the people building the company.
• Flexible working and genuine autonomy over how you approach the work.
• Direct mentorship from people doing interpretability research day to day.
• A front-row view of how an early-stage startup is built.
• A meaningful, paid project you can talk about and show off afterwards.
• Possible conversion to a return or full time offer.

How to apply

Send a CV and cover letter to careers@telluvian.ai. The process is an initial screening followed by an online interview and an in-person paid work test.

We unfortunately don't have the capacity to provide visa sponsorship at this time.

As part of your email please tell us when you could start and how long you're available for.