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Robotics ML Engineer — warehouse AI

AI role · Open offer

Robotics ML Engineer — warehouse AI

Exotec

Permanent (CDI)
Full-time
Senior
Robotics
Hybrid
168 Avenue Barthélémy Thimonnier, Lyon, ARA 69300, France · Hybrid
Lyon, France
EUR 72k-98k/year + bonus

Employer

Exotec

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Posted on Ganloss

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At a glance

How you'll work, where, and key listing dates.

Employment: Permanent (CDI), Full-time
Workplace: Hybrid
Location: 168 Avenue Barthélémy Thimonnier, Lyon, ARA 69300, France · Hybrid
Compensation: EUR 72k-98k/year + bonus
Experience level: Senior
Team: Robotics
Benefits & perks: Lyon hub, mutuelle.
How to apply: Vision ou planning robot en entrepôt.
Company site: www.exotec.com
Listed: Jul 27, 2026
Updated: Aug 3, 2026

About this role

What the team is looking for and how this position fits.

Exotec is hiring a Senior Robotics ML Engineer — warehouse AI on the Robotics team (Hybrid · Lyon, France). This is a hands-on role in LLM & generative AI—not a generic “AI enthusiast” post.

You will own LLM features, retrieval, agents, and evaluation end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.

Exotec conçoit des systèmes robotiques pour entrepôts avec vision et planification.

Robotics ML Engineer (Lyon) : perception, path planning ML, et validation en entrepôt.

What you will do

Deliver production-grade warehouse robotics ML with measurable quality, latency, and cost targets.
Build offline evals and online monitoring before scaling to full traffic.
Collaborate with product, design, legal, or domain experts on safe rollout.
Write clear RFCs, runbooks, and postmortems for cross-team learning.

What we look for

Multiple shipped ML/LLM features—not coursework-only portfolios.
Strong Python, SQL, and experimentation discipline.
Clear communication for remote or hybrid stakeholders.
Work authorization for the listed country.

Skills we're hiring for

What each capability means for this role—not a keyword checklist.

Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
PyTorch
Training and inference with PyTorch: reproducible experiments, checkpointing, and deployment-minded exports.
Computer Vision
Image or video models with clear eval harnesses (precision/recall, calibration, or domain-specific scores).

Tools & stack

Platforms and products mentioned for this role (APIs, IDEs, vector DBs, CRMs, design tools, etc.).

DockerTool
Containerized services and reproducible dev environments for ML and LLM workloads.

You're a strong fit if…

Tailored to this listing—use it as a self-check before you apply.

You can show evidence in your application: Vision ou planning robot en entrepôt.
Several of these show up in recent shipped work—not only on your CV: Python, PyTorch, Computer Vision, and Docker.
You have owned LLM features, retrieval, agents, and evaluation in production: debugging live issues, running postmortems, and iterating from real user or business signals.
You are comfortable with the hybrid rhythm (Hybrid · Lyon, France)—onsite collaboration when it matters, deep work when remote.
You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords.
You read the full listing (comp: EUR 72k-98k/year + bonus, benefits in At a glance) and your expectations align.

Apply

Candidate accounts only: add your headline and bio on My account, and optionally a CV link or PDF so recruiters see your full résumé. Then write a short pitch below—applications use your login email.

What the employer asked for

Vision ou planning robot en entrepôt.

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Register, add a headline and bio, then you can attach a CV link or PDF on My account before you apply. That keeps applications tied to your profile and makes it easier for employers to review your background.

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Robotics ML Engineer — warehouse AI

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