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

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.

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

Machine Learning Research Team Leader

Key skills