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AI role · Open offer

Senior ML Engineer — ad ranking

Criteo

Permanent (CDI)
Full-time
Senior
Commerce ML
Hybrid
32 Rue Pasteur, 69007 Lyon, France · Hybrid
EUR 65k–90k/year + BSPCE

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: 32 Rue Pasteur, 69007 Lyon, France · Hybrid
Compensation: EUR 65k–90k/year + BSPCE
Experience level: Senior
Team: Commerce ML
Benefits & perks: BSPCE, hybrid Lyon 7e, télétravail.
How to apply: Real-time bidding, conversion models, or creative optimization.
Company site: www.criteo.com
Listed: Jul 5, 2026
Updated: Aug 3, 2026

About this role

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

Criteo is hiring a Senior Senior ML Engineer — ad ranking on the Commerce ML team (Hybrid · Lyon, 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.

Criteo powers commerce media and retail advertising — real-time bidding and personalization from Lyon engineering hub.

Senior ML Engineer (hybrid Lyon 7e): conversion models, creative optimization, and auction intelligence.

About Criteo

Global ad-tech leader with strong French engineering roots.
Lyon office hosts ML teams serving retailer partnerships.
Billions of daily predictions with strict latency budgets.

What you will do

Improve CTR/CVR models with causal and uplift methods.
Optimize feature pipelines for sub-10ms scoring.
Run holdout experiments tied to advertiser ROI.

Stack & environment

Python, PyTorch, Spark, Kafka, Kubernetes.
Hybrid Lyon; French and English.

What we look for

5+ years ML in ads, recommendations, or marketplaces.
Eligible to work in France.

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
Analytical SQL for features, cohorts, label quality, and experiment analysis at scale.
Spark
Distributed feature generation and batch scoring on large tabular or event datasets.

Tools & stack

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

KubernetesTool
Deploying and scaling model services with health checks, autoscaling, and rollout discipline.
KafkaTool
Streaming features or scores with ordering, idempotency, and monitoring for real-time systems.

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: Real-time bidding, conversion models, or creative optimization.
Several of these show up in recent shipped work—not only on your CV: Python, PyTorch, SQL, Spark, and Kubernetes.
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 · 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 65k–90k/year + BSPCE, 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

Real-time bidding, conversion models, or creative optimization.

Sign in with a candidate account to apply

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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