At a Glance
- Tasks: Run experiments on AI models and communicate findings to diverse audiences.
- Company: Join Telluvian, a cutting-edge startup revolutionising AI interpretability.
- Benefits: Flexible hours, mentorship, and potential for full-time offers.
- Other info: Work in a small, dynamic team with genuine autonomy.
- Why this job: Dive into frontier research and make a real impact in AI.
- Qualifications: Studying or graduated in computer science; Python skills required.
The predicted salary is between 22500 - 27500 £ per year.
London (expect 5 days in office) Internship, flexible duration (approx 10 weeks)
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
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. Num Py Py Torch 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.
We unfortunately don't have the capacity to provide visa sponsorship at this time.
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ML Research Intern London (expect 5 days in office) Internship, flexible duration (approx 10 weeks) employer: Telluvian
At Telluvian, we pride ourselves on being an excellent employer by fostering a dynamic and innovative work culture in the heart of London. As a pre-seed startup, we offer interns the unique opportunity to engage directly with cutting-edge research in AI interpretability while enjoying flexible working hours and genuine autonomy. Our small team ensures that you receive direct mentorship from experienced professionals, paving the way for meaningful growth and potential future opportunities within the company.
StudySmarter Expert Advice🤫
We think this is how you could land ML Research Intern London (expect 5 days in office) Internship, flexible duration (approx 10 weeks)
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace ML Research Intern London (expect 5 days in office) Internship, flexible duration (approx 10 weeks)
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at Telluvian will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at Telluvian
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress Telluvian.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show Telluvian that you’re not just looking for experience, but that you're keen to contribute and grow within the team.