(Senior) Machine Learning Engineer
Role details
Job location
Tech stack
Job description
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, * 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.
Requirements
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.
Benefits & conditions
- 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 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.