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RTB House is a global company that provides state-of-the-art marketing technologies for top brands and agencies worldwide. Its proprietary ad-buying engine is the first in the world to be powered entirely by Deep Learning algorithms, enabling advertisers to generate outstanding results and reach their goals at every stage of the funnel. Founded in 2012, and now operating in 90+ markets, RTB House has always been private-by-design. It embraces first-party advertising and a relentless approach to innovation. RTB House offers end-to-end Deep Learning-powered AdTech products and solutions to maximize conversion, drive new customer acquisition, create engagement, and fuel long-term demand for a global base of clients.
Were looking for a Senior Software Engineer to help us design, build, and optimize high-performance backend systems that power real-time bidding (RTB) and machine learning at internet scale. Expertise in designing and implementing complex IT systems. Proficiency in at least one programming language, such as Python, C++, Java, or Scala, along with expertise in Linux. Deep understanding of algorithms and data structures. Previous experience in the field of Machine Learning is not required, but would be an asset. Experience with GPU programming and Machine Learning frameworks such as Torch, PyTorch, or TensorFlow. 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.
The opportunity to work with a team of enthusiasts experienced in Machine Learning, Big Data, and distributed systems, who are eager to share their knowledge and skills. Flexible working hours, with the possibility of remote work or working from our office in Warsaw. Access to the latest technologies, with the opportunity to apply them in a large-scale and fast-paced project. Developing and maintaining the ML training platform and the bidding infrastructure that evaluates ML models in the production environment. 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.
If you are passionate about digital marketing, send us your CV, and well review it.