A team of senior practitioners. Here's what that looks like.
A small team that stays small on purpose.
Senior engineers, researchers, and designers. Everyone works directly with the people making decisions and shipping code. Flat structure, full ownership.
The problems are genuinely complex - production ML systems, real-time data infrastructure, computer vision at scale. That complexity is why we keep the team lean and the bar high.
Current positions
Don't see a fit? We're always happy to hear from strong engineers. Reach out anyway.
The things that matter to us.
Less about culture decks, more about how we actually make decisions day to day.
Honesty over agreement
We would rather tell a client their approach has a flaw than nod along and build something fragile. Internally, the strongest technical argument wins - titles don't factor in.
Ownership, end to end
If you build it, you support it. That means being available when things break, thinking beyond your immediate scope, and caring about the outcome long after the PR is merged.
Depth over surface area
We value people who have gone deep in their domain. Years of focused work in one area produces better judgment than skimming across many technologies.
Grounded in research
We use tools and methods we understand at a foundational level. When we choose an algorithm or architecture, we can explain why it works - not just that it works.
Pride in the craft
We write code we would be comfortable showing to any engineer we respect. Not because someone is watching, but because that is the standard we hold for ourselves.
What the day-to-day looks like
Experienced peers
Everyone on the team has significant production experience. Conversations move fast because context doesn't need to be explained from scratch.
Direct access
You work alongside founders and talk directly with clients. Your perspective shapes technical direction, not just implementation.
Remote-first
Work from wherever works best for you. We care about clear communication and consistent output, not specific hours or locations.
Interesting problems
Real-time ML pipelines, computer vision at scale, enterprise data platforms. The work is genuinely challenging and the systems serve real users.
Fair compensation
We pay competitively with senior IC and consulting benchmarks. Compensation reflects the experience and judgment we expect.
Room to grow
Conferences, research discussions, internal talks. We invest in staying current because the work requires it.
You will be embedded in one client engagement at a time, working on architecture, implementation, and code review. There is no context switching between projects. You will have weekly technical discussions with the founding team and full ownership of the systems you build from design through deployment.
Complete ownership within the engagement. You choose the tools, design the architecture, and make the trade-offs. The founders provide context, review, and mentorship, but the technical direction is yours to own. We hire senior people because we trust senior judgment.
Yes. We are a fully remote company. We expect team members to be available from 9 AM to 5 PM CET or to maintain maximum overlap with those hours. We optimise for output and reliability, and meet in person occasionally for offsites and planning sessions.