AdTechTalent
Engineering21 days agoHybrid

Criteo

Senior Machine Learning Engineer - Causality

machine learningcausalitypythonjavac++hadoopa/b testingdata pipelinesml modelsexperimentationcausal impactengineeringr&d

Key details

Salary

Not specified

Employment type

Permanent Full Time

Seniority

Senior

Years experience

5-10

Location

Grenoble, France; Paris, France

Full job description

Senior Machine Learning Engineer role focused on causality at Criteo. Responsibilities include analyzing causal impact of advertising campaigns, developing ML models to predict causal impact and influence bidding strategies, designing and building large-scale data pipelines, contributing to A/B test analysis tooling, and collaborating with Data, Product, and Engineering teams. Requires a Master’s or PhD in a quantitative field, 5+ years experience as ML Engineer or Data Scientist/Researcher, programming skills in Python, Java, or C++, experience with large-scale data processing (Hadoop preferred), and knowledge of classical and modern ML techniques. Fluent English and ability to work in multicultural teams required. Benefits include hybrid work model, career development, health and wellness support, inclusive team environment, competitive salary with performance rewards, and potential equity. Locations are Paris and Grenoble, France.

What you'll do

  • Analyze the causal impact of advertising campaigns using experiments, third-party data, and advanced measurement techniques
  • Develop machine learning models to predict causal impact and influence bidding strategies
  • Design and build multi-stage data pipelines processing terabytes of data daily
  • Contribute to tooling for A/B test analysis to ensure accurate measurement of campaign and product performance
  • Collaborate closely with Data, Product, and Engineering teams to bring research into production
  • Contribute to a strong scientific and engineering culture by sharing best practices and new ideas

Requirements

  • Master’s degree or PhD in Machine Learning, Computer Science, or a related quantitative field
  • At least 5 years of experience as a ML Engineer or Data Scientist/Researcher
  • Hands-on development experience in at least one mainstream programming language (Python, Java, C++)
  • Skilled in sourcing, cleaning, manipulating, and analyzing large-scale datasets, ideally in a Hadoop-based environment
  • Experience with classical and state-of-the-art machine learning techniques
  • Fluent in English and comfortable working in international, multicultural teams
  • Curious, rigorous, and motivated by problems where science, product, and business impact meet

Tech stack

PythonJavaC++HadoopMachine LearningA/B Testing

Benefits

Hybrid work 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

Apply now

Ready to take the next step in your career? Click the button below to continue to the application process.

Continue to applicationBrowse more jobs

Similar jobs

More roles worth a look

Related opportunities based on specialty and working model so candidates can keep momentum.