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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
Requirements:
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
Nice to have:
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
What we offer:
A highly competitive salary
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
An opportunity to apply your expertise in optimizing algorithms that support hundreds of millions of internet users and billions of ad views per month within the RTB model
The ability to see the immediate impact of your work on the company's business outcomes
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