Machine Learning Research Team Leader

If you are looking for a place where you can manage a team and provide an active hands-on technical leadership, and where you can focus on shipping solutions that have a direct impact on business results then RTB House might be the right fit for you. You Will • Manage a team of strong ML Researchers • Provide deep research leadership and expertise • Act as a driver of execution and accountability within the team • Set clear expectations around ownership, delivery, and quality • Support team members through feedback and coaching, with a strong focus on effective execution and impact • Maintain a high technical and operational bar, balancing experimentation with delivery • Foster a culture of impact, healthy ambition, open mindedness, teamwork, and mutual respect. • Participate in hiring and onboarding as the team grows • Design and implement machine learning models (most often deep neural networks) used in production systems at scale • Translate research ideas into concrete, testable, and deployable solutions • Conduct and evaluate A/B tests, focusing on measurable impact rather than purely academic results • Develop and improve approaches to key problems such as bidding in first-price auctions, with clear ownership of outcomes • Lead research initiatives end-to-end: from problem formulation, through experimentation, to production rollout • Drive execution by helping the team prioritize work, remove blockers, and deliver results • Communicate clearly with product and engineering to ensure alignment on goals, timelines, and impact Desired Experience • Strong background as a Senior ML Researcher with a proven record of shipping impactful solutions • Experience leading teams or projects with solid track record of delivering impact • Solid understanding of statistics and probability • Strong programming skills and practical ML engineering mindset • Strong orientation toward execution, decision-making, and responsibility for outcomes • Formal people management experience is not strictly required. We value candidates who have led complex, multi-year projects involving multiple contributors and consistently delivered high-impact results and are motivated to grow into a people management role. Selected Technologies: • Python, Java, Scala • PyTorch, NumPy, Pandas • Jupyter Notebooks Additional advantages • Experience working on production ML systems • Experience with recommendation systems or real-time decision systems • Comfort operating in environments where results are measured and visible Example Topics You May Work On • Designing and deploying new model architectures with measurable performance gains • Integrating a transformer-based model for downstream model training and evaluation • Identifying and fixing training–production mismatches that affect business outcomes • Applying transfer learning where it unblocks delivery or improves efficiency • Developing pragmatic solutions that balance novelty with robust execution We Offer • A very attractive compensation • Work with a team of enthusiasts with experience in machine learning who willingly share their knowledge and skills • Work in the company that operates in remote-first manner • Access to the latest technologies and the possibility of real use of them in a large-scale and highly dynamic project; • Possibility to use knowledge and competences in practical applications - while optimizing algorithms supporting hundreds of millions of Internet users and monthly buys of billions of advertising views in the RTB model, based on extensive data sets • The effects of your work immediately visible in the company's business results Why This Role Is For This role is a strong fit if you: • Want to lead without giving up hands-on ML work • Care more about impact than novelty alone • Enjoy owning projects end-to-end • Want to lead by doing and delivering, not just coordinating • Believe that great research should translate into real-world results Want to work on inspiring technology with passionate coworkers