RTB House

RTB House

RTB House specializes in providing advanced retargeting technology powered by deep learning algorithms, enabling brands to create highly personalized marketing campaigns that effectively engage online shoppers and drive conversions in a cookieless envi...

Media
251-1K
Founded 2012

Description

  • Manage a team of strong ML researchers and support their growth through feedback, coaching, hiring, and onboarding.
  • Provide deep research leadership while setting clear expectations for ownership, delivery, and quality.
  • Drive execution and accountability by helping the team prioritize work, remove blockers, and deliver results.
  • Maintain a high technical and operational standard while balancing experimentation with shipping solutions.
  • Design and implement machine learning models, most often deep neural networks, for production systems at scale.
  • Translate research ideas into concrete, testable, and deployable solutions.
  • Lead research initiatives end to end from problem formulation through experimentation to production rollout.
  • Conduct and evaluate A/B tests with a focus on measurable business impact.
  • Develop and improve solutions for key optimization problems, including bidding in first-price auctions.
  • Communicate with product and engineering teams to align on goals, timelines, and expected impact.

Requirements

  • Strong background as a Senior ML Researcher with a proven record of shipping impactful solutions.
  • Experience leading teams or projects with a solid track record of delivering impact.
  • Solid understanding of statistics and probability.
  • Strong programming skills and a practical ML engineering mindset.
  • Strong orientation toward execution, decision-making, and accountability for outcomes.
  • Formal people management experience is not strictly required.
  • Experience leading complex, multi-year projects involving multiple contributors is valued.
  • Motivation to grow into a people management role is preferred.
  • Experience working on production ML systems is an advantage.
  • Experience with recommendation systems or real-time decision systems is an advantage.
  • Comfort operating in environments where results are measured and visible is an advantage.
  • Selected technologies include Python, Java, Scala, PyTorch, NumPy, Pandas, and Jupyter Notebooks.

Benefits

  • Very attractive compensation.
  • Remote-first work environment.
  • Work with an experienced machine learning team that shares knowledge and skills.
  • Access to the latest technologies and the opportunity to use them in a large-scale, highly dynamic project.
  • Opportunity to apply your work in practical settings and optimize algorithms for hundreds of millions of users and billions of ad views.
  • Immediate visibility of your work in the company’s business results.

Interested in this position?

Apply directly on the company website

Apply Now

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