Machine Learning Research Team Leader

Technologies we use

About the project

Your responsibilities

• 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

Our requirements

• 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

Optional

• 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

What 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

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

Why This Role Is For You