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As a Machine Learning Engineer, you will have a decisive influence on the efficiency and scalability of our own Deep Learning infrastructure, as well as the real-time bidding platform developed by RTB House.
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As a Machine Learning Engineer, you will have a decisive influence on the efficiency and scalability of our own Deep Learning infrastructure, as well as the real-time bidding platform developed by RTB House.
,[Designing, implementing and testing features of the ML training platform., Developing the part of the bidding infrastructure that evaluates Neural Network models in the production environment., Building tools that allow for efficient processing of large data sets., Identifying performance bottlenecks, optimizing critical parts of the distributed system and infrastructure., Applying open-source Big Data and ML technologies and, if needed, replacing them by better, custom-built components., Close cooperation with researchers, creating tools which enable fast, reliable and convenient experimenting with new models., The opportunity to spend some time on ML research. Requirements: Python, Design thinking, Linux, Machine learning, Spark, TensorFlow, Hadoop, Kafka, Java, Big data, PyTorch, Google cloud platform, BigQuery, pandas, NumPy, C++, Docker, NoSQL, Kubernetes, JavaScript, WebAssembly, Scala Tools: YouTrack, DokuWiki, GIT, Gerrit, Jenkins, Agile, Kanban. Additionally: Training budget, Flat structure, International projects, In-house trainings, Team Events, English lessons.