# Senior ML Engineer at Saeki

> Switzerland · Senior · ML / AI · open. Source: https://alderhq.app/jobs/personio%3Asaeki%3A2860436 (read 2026-11-09).

## Facts (observed)

- Company: [Saeki](https://alderhq.app/companies/saeki)
- Location text: Zurich
- Where it can be done from (inferred): Switzerland (evidence: "Location: Zurich")
- Posted: 2026-10-26 (14 days ago)
- First seen by alder: 2026-11-04 · last verified: 2026-11-08
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://saeki.jobs.personio.de/job/2860436
- Skills listed (inferred): Python, SQL, LLMs

## Pay and sponsorship

- Posted pay: not posted

## Description (the employer's text)

### SAEKI - Autonomous factories for the free world

We build factories that learn. We sell tangible parts, not software: every part we make produces data on design, cost, process and quality. Our bet is that a factory which learns from that data makes each next part faster, better and with fewer people, and that what one factory learns, every new factory applies.

### The Role

- Identify the key bet: the decision in our factory, from quoting to quality, where learning from data pays off most
- Define, with our software engineers, what data we capture from day one
- Build the first learning-factory MVP yourself and put it in front of engineers and operators within weeks
- Decide what to build, what to buy and when a model is good enough to trust
- Show the company and our investors, with numbers, that the factory is learning
- Grow into the AI Lead role once your MVPs are proven
### What We're Looking For

- Several years shipping ML or LLM systems that real users depended on
- Stack: Strong Python, SQL and data engineering; comfortable from raw data to deployed tool
- Experience starting from zero data: you have designed what to capture and then built a tool on it
- Pragmatism: you use whatever method works, from a rule to an agent, judged by what helps the operator in front of you
- Curiosity for the physical world: you want to stand next to the machine and understand the operator's decision
- Clear writing and the ability to explain results and their limits
- Bonus: manufacturing, additive, CNC, CAD or geometry data; early-stage startup experience
- Language: English. German is a plus for shop-floor conversations.
- On-site: Ability to work in person at Zurich, Switzerland, with regular time on the shop floor at Factory ONE in Munich, Germany.
### What we're not looking for

- Researchers without a user: every model you build here has a factory user, or it is dropped
- Someone who needs clean data, a platform and a team before they can ship
- Someone who wants to manage first and build later: the lead role is earned by proven MVPs
- Generic ERP, MES or QMS feature work, or machine interaction: other teams own these
### What we offer

- Mission: Rebuild the industrial sovereignty of the free world. What your systems learn in Factory ONE, every next factory applies.
- The Environment: A real factory as your lab, with direct access to the people who run it, and ownership of the core of SAEKI's value proposition from day one.
- The Team: A small, generalist Manufacturing Intelligence team that ships, reporting to the VP of Manufacturing Intelligence.
- Compensation: Competitive salary + equity.
- Location: Zurich HQ
### Apply

- Resume: Focus on systems you shipped that real users relied on, and what happened to them after launch.
- Cover letter: Why this mission? Why now? What would you build first?

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/personio%3Asaeki%3A2860436 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.