Internship Program · Now open

Intern at Evore Labs. Help build the future of quantitative intelligence.

We are hiring interns only — a small cohort of exceptional students and early builders. If joining DeepMind in 2012 sounds like the kind of bet you wish you had made, this is that bet. Every track pays a stipend.

Stipend
£1,300 / month
Duration
2 months
Location
Remote-first
Openings
9 tracks
Who we hire

We hire for a very short list.

Year and résumé are context, not qualification. We look for interns who have already built or discovered something hard — and want to do it again, at the edge of what is possible.

CuriosityOwnershipSystems thinkingScientific rigor
Internship Tracks

Where the work happens.

Small teams, deep problems. We host interns across research and engineering — and the boundary between them is intentionally thin.

Quantitative Research
Machine Learning
Deep Learning
Reinforcement Learning
Agentic AI
Software Engineering
Infrastructure Engineering
Distributed Systems
Platform Engineering
Data Engineering
Research Engineering
Compiler Engineering
GPU Systems
MLOps
Risk Engineering
Execution Engineering
Security Engineering
Research Operations
Open Internships

Selected openings.

Every role below is a paid internship. Don't see your exact track? If you would be an obvious asset, write to us anyway — admin@evorelabs.com.

Hiring Process

Six steps. No theatrics.

We move quickly and think out loud with you. The process is designed to show you the work, not to test your endurance.

1

Application

Tell us what you have built or discovered.

2

Initial Review

A researcher or engineer reads every application.

3

Technical Challenge

A real problem, not a puzzle.

4

Research Discussion

We think through a problem together.

5

Final Interview

Depth, judgment and how you reason.

6

Offer

We move quickly for the right people.

Culture

How we work.

Small teams

Leverage over headcount. Everyone owns something that matters.

Long-term thinking

We build for the decade, not the quarter.

High ownership

You will be trusted with hard, ambiguous problems.

Scientific honesty

We follow the evidence, especially when it is inconvenient.

Continuous learning

The people, like the system, are expected to compound.

Build something that outlasts your internship.

Pick a track above and hit Apply now, or write to us directly. A researcher or engineer reads every message.