About the Company
RTB House is a global company specializing in state-of-the-art marketing technologies for top brands and agencies worldwide. Their proprietary ad-buying engine is powered entirely by Deep Learning algorithms, enabling advertisers to achieve outstanding results across the funnel. Founded in 2012 and operating in 90+ markets, RTB House focuses on first-party advertising and continuous innovation, offering end-to-end Deep Learning-powered AdTech products and solutions to maximize conversion, acquire new customers, drive engagement, and fuel long-term demand.
Daily Responsibilities
- 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.
Desired Experience
- 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 to 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.
Additional Advantages
- Previous experience in the field of Machine Learning is not required, but would be an asset.
- Solid foundation in mathematics.
- Experience with GPU programming and Machine Learning 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.