Senior Machine Learning Engineer

Devops Academy; France; Sur place; EUR 40 000 - 70 000; Plein temps

Avantages offerts par ce poste

Health benefits

Learning and mentorship programs

Wellness perks

Diverse and inclusive environment

Performance-based rewards

Résumé du poste

Devops Academy in France is looking for a Machine Learning Engineer to develop and maintain machine learning projects primarily focused on Natural Language Processing. You will design efficient machine learning models for product classification, analyze large datasets, and collaborate with experienced engineers. This role requires a Master's or PhD in a related field and programming experience. The company offers a hybrid model, health benefits, and a commitment to a diverse workplace.

Qualifications

• Master's or PhD in Machine Learning, Computer Science, or related discipline.
• Development experience in at least one programming language (Python, Java, C++, C#).
• Strong mathematical foundation and experience with Deep Learning.
• Experience deploying ML solutions in production.

Responsabilités

• Design and implement machine learning models for product classification.
• Analyze large datasets and identify modeling challenges.
• Collaborate with engineers to take models from prototype to production.

Connaissances

Machine Learning

Python

Deep Learning

Problem-solving

Data analysis

Formation

Master's or PhD in Machine Learning, Computer Science

Description du poste

Catalog Enrichments & AdSafety is a team whose goals are to develop/maintain the Universal Catalog and ML projects mostly based on Natural Language Processing (NLP). As a ML Engineer in our team, you will:

Build the future of product representation and retrieval across our ecosystem. Once our prototypes and ideas show value, we push them into production: whether that means generating embeddings for billions of items, supporting large-scale retrieval indexes, or serving models under tight latency budgets. Our engineering teams ensure these models operate reliably and scale seamlessly.

Design and implement machine learning models for product classification and enrichment, tailored to our unique latency and scalability requirements.

Work with the agility of a medium-sized data and machine learning team and the reach of a company-wide platform. You’ll move quickly on ambitious ideas and measure their impact through offline evaluations and online experiments.

Analyze large datasets, identify modeling challenges, propose solutions, build prototypes, and iterate quickly.

Stay current on academic and industrial developments in machine learning applying them to our specific product use cases.

Collaborate with experienced engineers to take models from prototype to production-quality systems.

Who You Are:

You have a Master’s or PhD in Machine Learning, Computer Science, or a related quantitative discipline.

You possess development experience in at least one mainstream programming language (Python, Java, C++, C#, etc.).

You have a strong mathematical foundation and experience with Deep Learning.

You are eager to tackle real-world scalability challenges and ideally have deployed ML solutions in production.

If you’re looking to make a tangible impact - and thrive in a dynamic, high-stakes environment - we’d love to hear from you. Join us at Criteo and help shape the next generation of data-driven advertising solutions!

We acknowledge that many candidates may not meet every single role requirement listed above. If your experience looks a little different from our requirements but you believe that you can still bring value to the role, we’d love to see your application!

Who We Are:

Criteo is a leader in commerce media, helping brands, agencies, and publishers create meaningful consumer connections through AI-powered advertising solutions. We’re shaping a more open and sustainable digital future for advertising.

At Criteo, our culture is as unique as it is diverse. From our offices across the globe or from the comfort of home, our 3,600 Criteos collaborate together to build an open, impactful, and forward-thinking environment.

We foster a workplace where everyone is valued, and employment decisions are based solely on skills, qualifications, and business needs—never on non-job-related factors or legally protected characteristics.

What We Offer

• Ways of working – Our hybrid model blends home with in-office experiences, making space for both.
• Grow with us – Learning, mentorship & career development programs.
• Your wellbeing matters – Health benefits, wellness perks & mental health support.
• A team that cares – Diverse, inclusive, and globally connected.
• Fair pay & perks – Attractive salary, with performance-based rewards and family-friendly policies, plus the potential for equity depending on role and level.

Additional benefits may vary depending on the country where you work and the nature of your employment with Criteo.

This employer is committed to building diverse teams and creating an inclusive workplace.