Research Intern

Duration: 3 months, with a possibility of a full-time job afterwards

Start date: immediately

Compensation: depends on location and experience, up to 10k CHF gross monthly in Switzerland

About us

• We're building state-of-the-art context compression. Our mission is to become the "Cloudflare for LLMs" — a compression layer embedded into most LLM pipelines by default.
• We're a team of ex-EPFL MSc/PhDs from dlab. We started by publishing papers, then got into YC and started making money helping companies cut their LLM costs.
• We run the business like a research lab: form hypotheses, kill the ones that don't work, double down on the ones that do.

What we offer

• Competitive compensation
• All the resources you need: GPUs, subscriptions, OpenAI/Anthropic credits
• As much responsibility as you can handle. Our goal is to make you an irreplaceable part of the team
• A fast-paced environment where you'll learn much faster than usual, surrounded by technical people who push each other
• Possibility of a full-time offer based on performance

What we can't offer

• Hands-on supervision. We're around for brainstorming and high-level guidance, but you own your work and will be the person who knows it best.
• A well-defined project. We're early-stage and led by customer and market pull, so we work on several directions at once. You'll navigate this alongside the rest of us.
• Training wheels. After a short onboarding, you'll work on hard, customer-facing, time-sensitive problems like everyone else. Not a typical internship.

We're running a tight ship on a rough sea. Not for everyone, but you'll come out the other side a much stronger sailor.

About you

1. You love research, read papers and hack on new repos for fun
2. Comfortable training ML models/transformers and doing independent applied research
3. Excellent Claude Code (or similar) user
4. Highly ambitious, ready for high-intensity YC startup culture, self-motivated
5. Strong communicator, fast response time, team player

Preferred

1. LLM research experience, shown through publications, open-source contributions, or personal projects
2. BSc or MSc in CS/DS, math, or physics.
3. Startup or research internship experience (industry or academic)

Interview process

1. Screening: CV, your Claude Code setup, and a short writeup of a project you're proud of (with arxiv/GitHub links)
2. 1-hour technical interview
3. Paid take-home, max 7 hours — you'll get detailed feedback either way
4. 30-min fit interview
5. Offer

Contact: [email protected]