AI role · Open offer

ML Engineer — personalization

Decathlon

This listing is optimized for AI-native talent: clear skills and tools so candidates know if they fit before they apply—and so you spend less time screening mismatches.

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At a glance

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

Employment: Permanent (CDI), Full-time
Workplace: Hybrid
Location: 4 Boulevard de Mons, Lille, HDF 59650, France · Hybrid
Compensation: EUR 48k–68k/year + intéressement
Experience level: Mid
Team: Digital products
Benefits & perks

About this role

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

Decathlon is hiring a Mid ML Engineer — personalization on the Digital products team (Hybrid · Lille, France). This is a hands-on role in search & recommendations—not a generic “AI enthusiast” post.

You will own ranking, retrieval, and online experimentation 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.

Decathlon scale le e-commerce sportif depuis Lille.

ML Engineer personalization : reco, search ranking, expérimentation A/B.

Missions

Modèles reco avec métriques conversion.
Pipelines batch/near-real-time.

Stack & environnement

Python, Spark, PyTorch, Airflow.

Profil recherché

2+ ans ML e-commerce.

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.
SQL

Tools & stack

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

SparkTool
Distributed feature generation and batch scoring on large tabular or event datasets.
AirflowTool
Scheduled ML pipelines with SLAs, backfills, and data-quality checks between stages.

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: Reco e-commerce ou search ranking avec métriques A/B.
Several of these show up in recent shipped work—not only on your CV: Python, PyTorch, SQL, Machine Learning, and Spark.
You have owned ranking, retrieval, and online experimentation in production: debugging live issues, running postmortems, and iterating from real user or business signals.
You are comfortable with the hybrid rhythm (Hybrid · Lille, 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.

Apply

Candidate accounts only: add your headline and bio on , 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

Reco e-commerce ou search ranking avec métriques A/B.

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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