AI role · Open offer

ML Engineer — player experience

Ubisoft

Permanent (CDI)
Full-time
Senior
Game analytics
Hybrid
84 Rue du Général de Gaulle, Bordeaux, NAQ 33170, France · Hybrid
Bordeaux, France
EUR 50k–72k/year + bonus

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.

3 skills1 tool

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At a glance

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

Employment: Permanent (CDI), Full-time
Workplace: Hybrid
Location: 84 Rue du Général de Gaulle, Bordeaux, NAQ 33170, France · Hybrid
Compensation: EUR 50k–72k/year + bonus
Experience level: Senior
Team: Game analytics
Benefits & perks

About this role

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

Ubisoft is hiring a Senior ML Engineer — player experience on the Game analytics team (Hybrid · Bordeaux, France). This is a hands-on role in applied machine learning—not a generic “AI enthusiast” post.

You will own modeling, evaluation, and production ML delivery 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.

Studio Ubisoft Bordeaux : gameplay, analytics et ML expérience joueur.

ML Engineer : churn, matchmaking, modération UGC.

Missions

Modèles prédictifs métriques engagement.
Pipelines data gaming volume élevé.

Stack & environnement

Python, PyTorch, Spark, SQL.

Profil recherché

ML prod ; intérêt jeux vidéo.

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.

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: Modèle churn, matchmaking ou UGC safety avec métriques joueur.
Several of these show up in recent shipped work—not only on your CV: Python, PyTorch, SQL, and Spark.
You have owned modeling, evaluation, and production ML delivery in production: debugging live issues, running postmortems, and iterating from real user or business signals.
You are comfortable with the hybrid rhythm (Hybrid · Bordeaux, 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 50k–72k/year + bonus, benefits in At a glance) and your expectations align.

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What the employer asked for

Modèle churn, matchmaking ou UGC safety avec métriques joueur.

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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