[Ipsos MMA] ML Engineer

Ipsos MMA is a leader in unified marketing measurement & optimization, recognized by Forrester and Gartner, which helps global brands plan, measure, and optimize investments.

• Advanced degree (Master's or Ph.D.) in machine learning, statistics, applied mathematics, AI, computer science, operations research, or related quantitative field
• Deep foundations in probability, statistics, and machine learning, with strong mathematical understanding
• Hands-on experience designing and delivering custom analytics systems
• Coding proficiency (e.g., Python) for prototyping and development collaboration
• Ability to write clear methodological and scientific documentation
• Strong curiosity for implementing and challenging new approaches
• Collaborative team player comfortable working with data scientists and software engineers

Nice to have:

• Experience with AI, including large language models and generative or agentic systems
• Familiarity with machine learning frameworks and libraries such as PyTorch, scikit-learn, and XGBoost
• Numerical programming and optimization methods knowledge
• Prior exposure to marketing analytics or measurement
• Experience communicating technical tradeoffs to non-technical partners
• 3+ years of relevant applied research or analytics experience

• Designing complex analytics systems and custom modeling solutions for NextGen modeling platforms
• Co-owning and driving innovation agenda in unified marketing analytics including marketing mix modeling, attribution, and experimentation
• Developing, implementing, and testing machine learning and statistical algorithms
• Performing statistical analyses and evaluating new methodological approaches
• Documenting models and approaches with rigorous scientific writing
• Collaborating with global data scientists and development teams to transition research into production