machine learning engineer

RTB House is a global company providing state-of-the-art marketing technologies for brands and agencies worldwide. Its proprietary ad-buying engine is powered by Deep Learning algorithms, enabling advertisers to reach goals at every stage of the funnel. Operating in over 90 markets, the company focuses on first-party advertising and innovation, offering end-to-end AdTech products to maximize conversion and customer acquisition.

• Develop and maintain the ML training platform and bidding infrastructure that evaluates ML models in production;
• Identify performance bottlenecks and optimize critical, low-level system components;
• Ensure the reliability and scalability of implementations;
• Create performance and correctness tests for new system components;
• Test and benchmark open-source Big Data and ML technologies to assess their suitability for production.

• Expertise in designing and implementing complex IT systems;
• Ability to develop user-friendly, versatile tools;
• Proficiency in at least one programming language (Python, C++, Java, or Scala) and expertise in Linux;
• Strong skills in evaluating and optimizing system performance from design to production;
• Deep understanding of algorithms and data structures;
• Initiative and creativity to improve existing solutions;
• Ability to work effectively both within and across teams;
• Polish language at C1 level;
• Nice to have: Previous experience in Machine Learning, solid foundation in mathematics, experience with GPU programming and ML frameworks (Torch, PyTorch, TensorFlow), proven experience with distributed systems, familiarity with Big Data technologies (Hadoop, Kafka, Storm, Spark, Flink), hands-on experience with GCP or similar cloud providers.

• Opportunity to cooperate with a team of enthusiasts in Machine Learning, Big Data, and distributed systems;
• Flexible working hours;
• Access to the latest technologies in large-scale projects;
• Opportunity to optimize algorithms supporting hundreds of millions of users and billions of ad views;
• Ability to see the immediate impact of work on business outcomes;
• Possibility of publishing results.