Machine Learning Research Team Leader

Location: Poland

We Are:

RTB House is a next-generation performance demand-side platform (DSP) that uses proprietary Deep Learning AI algorithms to help brands grow. The company is the market leader in driving performance using Deep Learning across the entire purchase funnel.

Founded in 2012, and now operating in 90+ markets, RTB House has always been private-by-design. It embraces first-party advertising and a relentless approach to innovation. RTB House offers end-to-end Deep Learning-powered AdTech products and solutions to maximize conversion, drive new customer acquisition, create engagement, and fuel long-term demand for a global base of clients.

Why RTB House?

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

Apply now!

You don't need to tick every box to apply. If you are passionate about digital marketing, send us your CV, and we'll review it.