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Senior Machine Learning Engineer - Causality

Grenoble, Isère🌐 Remote💼 Full-time🗓 2026-05-07 → 2026-08-08

Core

Analyze causal impact of advertising campaigns and develop ML models to predict this impact to influence bidding strategies.

Role type

Senior Machine Learning Engineer (Causality)

Builds

ML models for causal impact prediction and multi-stage data pipelines for ad performance measurement

Domain

Digital Advertising / Causal Inference

Deliverable

production ML models

Required skills

Causal impact analysis, Experiment design, Large-scale data processing, ML model development, Data pipeline design, A/B test analysis

Preferred skills

Classical and state-of-the-art ML techniques, Hadoop environment experience

Technologies

Python, Java, C++, Hadoop

Responsibilities

Analyze causal impact of campaigns using experiments and third-party data, Develop ML models to predict causal impact, Design and build multi-stage data pipelines, Contribute to tooling for A/B test analysis, Collaborate with Data, Product, and Engineering teams

Seniority

Senior, hands-on IC

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