Senior Machine Learning Engineer

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 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. Senior Machine Learning Engineer We are looking for a Senior Machine Learning Engineer to help design, deploy, and evolve predictive models that power Adikteev’s core ad‑tech systems. Our mission is to deliver efficient, scalable, and impactful machine learning systems—models that directly influence billions of real‑time decisions per day. Responsibilities 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 the 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. Qualifications 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. 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. Benefits Competitive salary. Performance‑based quarterly bonus with transparent KPIs. 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). 4½ day work week (Fridays afternoon off). 50% of transportation fees covered by Adikteev (Navigo Pass). Mental health support. Inclusive parental leave policy. Most benefits are available to all employees. For remote team members based outside of France, benefits will be aligned with local laws and practices in your country of residence, ensuring support that’s both relevant and compliant wherever you are. Hiring Process HR call with Mélanie, 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 involve a 30‑minute live test. Final interview with two executive committee members. If you require accommodations at any stage of the application process, please let us know. It will be handled confidentially by our HR and recruitment team. We’re proud that our team already spans 22+ nationalities, diverse talent and unique backgrounds, and we want it to grow even more. If this role appeals to you, we welcome your application, even if you don’t meet every single qualification. Not everyone gets through our hiring process, but your skills might be a great fit for another opportunity; now or in the future. Adikteev is an equal opportunity employer. We are committed to building an inclusive environment for all employees, candidates, vendors and clients, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, age, national origin, disability, marital status, or military status. Seniority level Mid‑Senior level Employment type Full‑time Job function Information Technology Industries Advertising Services and Marketing Services Referrals increase your chances of interviewing at Adikteev by 2x. #J-18808-Ljbffr