
Machine Learning Team Lead
- Paris
- CDI
- Temps-plein
In close partnership with the Reco Retrieval team, the Reco Ranker team builds and operates the algorithms that determine, for every display, which products to show and in what order. The team’s mission is to maximize relevance and performance at massive scale—ranking hundreds of candidate products under 10ms latency, for billions of ad impressions daily.As a Lead ML Engineer, you will:
- Own and deliver the team’s roadmap, with a strong focus on shipping and scaling robust ranking models in production, while keeping an eye on innovation through targeted research efforts.
- Act as a technical leader and hands-on contributor, driving design, prioritization and development decisions while mentoring and empowering the team.
- Design, train, and deploy at scale deep learning models for real-time product ranking—generic enough to scale across thousands of clients, yet adaptive to their individual needs.
- Ensure production-readiness at scale: build efficient and reliable pipelines that meet demanding latency and throughput requirements.
- Navigate the need for compromises and make informed trade-offs between competing priorities, system constraints, and modeling strategies.
- Collaborate closely with stakeholders, product, and technical teams to shape priorities, ensure continuous alignment on goals, and streamline integration paths.
- You have a strong background in machine learning, ideally with hands-on experience in deep learning applied to recommendation, ranking, or personalization problems.
- You are skilled in software engineering, including production-grade systems and distributed computation (e.g., Python, C++, Scala, Spark).
- You have experience leading technical teams, setting direction, and mentoring others, while maintaining a collaborative, hands-on mindset.
- You are comfortable navigating trade-offs between innovation, reliability, and scalability, and you bring structure and clarity to complex challenges.
- You are motivated by impact at scale, and excited to optimize algorithms that run millions of times per second and directly drive business value.
- You bring a positive, pragmatic, and solutions-oriented mindset, and thrive in fast-paced environments where focus and resilience are key.