Senior Machine Learning Engineer

★ WHO WE ARE

Adikteev fuels the app ecosystem by inspiring users to engage with the apps they know and love. Specializing in user retention, we grow in-app revenue and build user loyalty with custom retargeting and CTV campaigns.

Operating globally from Paris, San Francisco, and Seoul, Adikteev has grown to over 100 employees and achieved 60% revenue growth this year.

• ☆ Own it, Live it:
  Our top priority is making sure our customers are fully supported and engaged. We're not afraid to make decisive moves, embrace challenges, and see them through to the end.
• ☆ 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 a 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.

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 billions of real-time decisions per day.

Your responsibilities will include:

• Own machine learning pipelines end-to-end: data preparation, feature engineering, model development, training, deployment, monitoring, and iterative improvements.
• Build and maintain models focused on getting the best return-on-investment for every ad impression while satisfying production constraints specific to our industry (large volumes and low latencies).
• Collaborate closely with Engineering team 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 innovation efforts, by exploring promising ideas from recent academic work and turning them into production-grade solutions.
• Mentor less experienced members of the team.

You could be a great addition to our Machine Learning team if you recognize yourself in several of the following areas:

• Academics
  • Strong theoretical background in mathematics and/or computer science
  • MS or PhD is a plus
• Professional experience
  • 6+ years of experience in hands‑on roles that leverage machine learning to power a core company product
  • Significant experience with production environments: testing, deploying, monitoring, etc.
  • Experience in AdTech is a plus
• Engineering & infrastructure skills
  • Write clean, maintainable, production‑quality Python code, with a strong grasp of testing, typing, CI/CD.
  • Hands‑on experience with Scala, Spark, Airflow and/or AWS is a plus
  • Hands‑on experience with large‑scale data engineering or high‑frequency inference systems is a strong plus
• Machine learning skills
  • Intimate understanding of theoretical concepts in probability, statistical learning, and optimization
  • Significant modelling experience with tabular data for classification and regression problems
  • Practical experience of deep learning and embeddings is a plus

Please note that, to comply with employment regulations, applicants are required to maintain residency and be legally authorized to work in France or the European Union in order to be considered for this position.

• 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

* Most benefits are available to all employees. For remote team members based outside of…