Machine Learning Engineer

RTB House is a global company providing state-of-the-art marketing technologies for top brands and agencies worldwide. Founded in 2012, it operates in over 90 markets and offers Deep Learning-powered AdTech products and solutions to maximize conversion, drive customer acquisition, and fuel long-term demand.

• Expertise in designing and implementing complex IT systems.
• Ability to develop user-friendly, versatile tools.
• Proficiency in at least one programming language such as Python, C++, Java, or Scala, along with expertise in Linux.
• Strong skills in evaluating and optimizing system performance from initial design through production troubleshooting.
• Deep understanding of algorithms and data structures.
• Initiative and creativity to improve existing solutions.
• Ability to work effectively both within and across teams.

Nice to have:

• Previous experience in Machine Learning.
• Solid foundation in mathematics.
• Experience with GPU programming and ML frameworks such as Torch, PyTorch, or TensorFlow.
• Proven experience with distributed systems.
• Familiarity with Big Data technologies such as Hadoop, Kafka, Storm, Spark, or Flink.
• Hands-on experience with Google Cloud Platform (GCP) or similar cloud providers.

• Developing and maintaining the ML training platform and the bidding infrastructure that evaluates ML models in the production environment.
• Identifying performance bottlenecks and optimizing critical, low-level parts of the system.
• Ensuring the reliability and scalability of implementations, and creating performance and correctness tests for new system components.
• Testing and benchmarking open-source Big Data and ML technologies to assess their suitability for the production environment.