AdTechTalent
Engineering7 days agoHybrid

Criteo

Senior ML Engineer

machine learningml engineerpythonsparksqlc#data pipelinesproductionhybridretail mediar&d

Key details

Salary

Not specified

Employment type

Permanent Full Time

Seniority

Senior

Years experience

5-10

Location

Paris, Île-de-France, France

Full job description

Criteo is hiring a Senior Machine Learning Engineer for their R&D team in Paris to build and operate large-scale ML systems for real-time product ranking in Retail Media. The role involves designing, developing, and deploying ML models, building scalable data pipelines, contributing to technical strategy, and collaborating with cross-functional teams. Required experience includes at least 5 years in production ML systems, strong analytical skills, and a collaborative mindset. Core technologies are Python, Spark, SQL, and C#. The position is full-time with a hybrid work model. Benefits include career development, health and wellness support, inclusive culture, competitive salary, and potential equity.

What you'll do

  • Design, develop, and deploy machine learning models into production
  • Analyze data and build scalable, reliable data pipelines
  • Contribute to the team roadmap and technical strategy
  • Own end-to-end initiatives by defining goals, milestones, and technical deliverables in collaboration with Product Managers
  • Participate in architecture discussions and help drive technical decisions, actively contributing to business performance

Requirements

  • At least 5 years of experience building and deploying machine learning systems at scale in production environments
  • Strong analytical mindset and enjoyment of diving deep into data
  • Curious, collaborative, eager to learn and share expertise
  • Value cross-functional collaboration with R&D teams, Product Managers, and Product Analysts

Tech stack

PythonSparkSQLC#

Benefits

Hybrid working model blending home and in-office experiencesLearning, mentorship & career development programsHealth benefits, wellness perks & mental health supportDiverse, inclusive, and globally connected teamAttractive salary with performance-based rewards and family-friendly policiesPotential for equity depending on role and level

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