Senior 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 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
- 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
- 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, 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.
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