Machine Learning Research Team Leader

Project / Role

Lead, mentor and develop a team of Machine Learning Engineers and Data Scientists, ensuring high-quality delivery and team growth.

Oversee the end-to-end development of ML scoring models supporting Sponsored Offers, including click and conversion prediction.

Drive model training initiatives covering feature engineering, model calibration, offline and online evaluation, controlled rollouts and experimentation.

Manage the transition of ML scoring responsibilities across teams and coordinate delivery with Product, Engineering and Platform stakeholders.

Define technical standards for model lifecycle management, workflow orchestration and scalable ML development.

Provide strategic input into the ML roadmap and communicate progress, risks and business impact to senior stakeholders.

Foster cross-functional collaboration and ensure projects are delivered on time and aligned with business objectives.

Requirements

• 8+ years of commercial experience in Machine Learning or Data Science in production environments.
• At least 2 years of proven people management experience (mandatory).
• Strong experience leading end-to-end model training initiatives for business-critical use cases.
• Hands-on expertise across the full ML lifecycle, including data preparation, feature engineering, model training, evaluation, calibration and production rollout.
• Advanced knowledge of Python, SQL and deep learning frameworks such as PyTorch or TensorFlow.
• Experience working with Google Cloud Platform, particularly Vertex AI, BigQuery and Cloud Storage, as well as scalable data processing concepts (e.g. Dask or Spark).
• Strong understanding of ML infrastructure, including model lifecycle management, workflow orchestration, A/B testing and offline/online model evaluation.
• Ability to lead cross-functional initiatives and communicate effectively with technical teams and Director-level stakeholders.
• Strong business mindset with experience making data-driven decisions based on metrics such as revenue, GMV and conversion.
• English level B2+.

Nice to have

• Experience in AdTech, recommendation systems or marketplace ranking.
• Experience building pCTR, pCVR or similar prediction models.
• Familiarity with CI/CD for Machine Learning, experiment tracking frameworks, feature stores and model artifact repositories.
• Experience working with online inference platforms and production ML serving environments.

What do we offer?

• Long-term relationships based on fair principles and reliability.
• Co-financing of the Multisport card and Medicover private healthcare.
• Modern office available.
• Team bonding activities, internal courses, conferences and certifications.