Informacje o stanowisku

As a Staff ML Research Lead, you will work on challenging ML projects that extend and improve the way ML is used in our company. ML is at the very center of RTB House, and you will have a strong, immediate impact on our core metrics. We are looking for a strong technical leader who will also manage a small team of high-performing researchers. The following skills will be crucial:

• Leadership skills: Identify high-potential projects, create a vision, communicate with stakeholders, and execute.
• End-to-end ownership: Own projects from conception through analysis, research, building a proof of concept, testing, to final implementation and deployment.
• Effective communication: Collaborate with many people, communicate well, and organize work effectively.
• Ability to solve unclear problems: Understand the core of issues, define goals, measure success, and find effective solutions.
• Results-oriented: Solve problems effectively by starting simple and using complex tools only when necessary, striving for simple, elegant solutions.
• Ability to work cross-team: Collaborate across teams, often across IT and business organizations.
• Ability to build and manage a team: Start as the first researcher on a Platform Research Team, with the expectation of growing the team to a couple of researchers/engineers in the first year.

You will work with the following tech stack:

• Python, Java, Scala
• Jupyter Notebooks
• BigQuery, GCP

Must have:

• 8+ years of experience as a researcher or engineer.
• 3+ years of experience with Machine Learning/Data Science.
• Proficiency in programming.
• 3+ years of experience managing a team.

RTB House is a performance-oriented company, and our technology is our main strength. We work with more than 2000 clients across EMEA, APAC, and the Americas. Our highly optimized system serves nearly 10 million queries per second. We evaluate multiple models during a request, including deep neural nets - Machine Learning is at the very heart of our operation. We are constantly improving and extending our ML platform. Example projects include:

• Democratizing experimentation with new signals to a wider set of teams, allowing various backgrounds to work on specific verticals of our portfolio of advertisers.
• Optimizing the creative design process by structuring work with creative designers, testing new designs meaningfully, and ensuring compatibility with the new creative testing framework.
• Many more, plus anything you can come up with!

What we offer:

• Compensation: An attractive salary and growth opportunities.
• Technology: Access to the latest technologies and real opportunities to use them in large-scale, highly dynamic projects; working on extensive and rich datasets.
• Impact: Your work will immediately impact the companys business results and outcomes globally, as well as mentor less experienced colleagues in the team.
• Wellbeing: Extremely flexible working conditions - you work when convenient for you and devote as much time as you can; you can work fully remotely.
• Culture: Work in a team of enthusiasts with wide experience in ML who willingly share their knowledge and learnings daily, in a no BS environment.
• Purpose-Driven Work: Your growing knowledge and competencies will be used in practical applications directly connected to business results.

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