Machine Learning Engineer
☆ Rolling with Changes : We don't just face challenges, we anticipate them. Agility is core to who we are, and we believe in continuous learning and improvement.
☆ Making waves with purpose : We're here to make a difference. Every decision and action is aimed at creating positive and meaningful impact.
☆ The ADIKTEAM vibe : We're more than a team; we're the ADIKTEAM. Everyone plays a crucial role, and we're always looking for people who thrive in collaborative, supporting environments. ☆ WHAT YOU WILL DO
We are looking for a Senior Machine Learning Engineer to help design, deploy, and evolve predictive models that power Adikteev's core adtech systems. Our mission is to deliver efficient, scalable, and impactful machine learning systems - models that directly influence millions of real-time decisions per day. Your responsibilities will include:
- Own machine learning pipelines end-to-end : feature engineering, model development, training, deployment, monitoring, and iterative improvement.
- Build and maintain models focused on real-time prediction tasks: conversion, post-install behavior, app affinity, user segmentation.
- Address production constraints specific to our industry: latency, throughput, high data volumes, and stability under load .
- Collaborate closely with engineering teams to industrialize model delivery and ensure smooth operations in production.
- Investigate anomalies, performance shifts or A/B test results, and deliver clear insights to business and product stakeholders.
- Contribute to our research & innovation efforts , by exploring promising ideas from recent academic work and turning them into production-grade solutions.
- Academics
- Possess a strong theoretical background in statistics, probability, or optimization.
- Hold an advanced degree. A PhD is a plus, but not mandatory : we care about how you reason, not your diploma.
- Experience
- Possessed 5+ years of hands-on experience in building ML models in production environments
- Have owned real-world ML systems that run at scale, not just notebooks or offline studies.
- Experience in AdTech, recommender systems, or bidding environments is a strong plus.
- Engineering & infrastructure
- You write clean, maintainable, production-quality Python, with a strong grasp of testing, typing, CI/CD.
- You are comfortable working with distributed data pipelines and large-scale systems (e.g. Spark, Airflow, AWS).
- You know your way around real data: skew, leakage, drift, missingness, latency bugs (and how to debug them)
- Modeling & Applied Machine Learning
- You have a deep understanding of probabilistic modeling, model evaluation, generalization, and calibration.
- You are comfortable with classical tabular ML (logistic regression, tree-based models, survival models...).
- Experience with representation learning, embeddings, or deep architectures is a plus, especially when driven by clear use cases, not hype.
- You are curious and keep an eye on recent ML papers, and you enjoy translating academic ideas into production constraints.
- Competitive Salary ;
- Performance-based Quarterly bonus with transparent KPIs;
- Profit-sharing scheme ("Prime de participation") ;
- Longevity bonus every 2 years ;
- Healthcare plan with excellent coverage (50% of the contribution covered by Adikteev) ;
- €9 Lunch Vouchers (Tickets Restaurant - SWILE card - 50% of the contribution covered by Adikteev) ;
- 4 1/2 days work week (Fridays afternoon off) ;
- "RTT" ;
- 50% of transportation fees covered by Adikteev (Navigo Pass)
- Mental Health support ;
- Flexible remote working policy ;
- Regular team-life event / activity
- Inclusive parental leave Policy.
- HR call with Claire, Senior Talent Acquisition Partner ;
- Team fit interview with Loïc, Chief Product Officer ;
- Technical case study to be completed remotely with a follow-up discussion with Gwenaëlle and Nicolas, Senior ML Engineers. This discussion will also involve a 30-minute live test.
- Final interview with two executive committee members.
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