Machine Learning Engineer

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July 6

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RTB House

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Advertising • Artificial Intelligence • Marketing

RTB House is a global leader specializing in deep learning-powered online ad campaigns. The company provides personalized retargeting and brand visibility services using advanced AI technology to engage new and existing customers across multiple markets. RTB House's dynamic ad formats and deep learning capabilities allow businesses to set ambitious sales targets and drive brand loyalty. Additionally, the company offers solutions to manage the evolving digital ecosystem post-cookies while ensuring brand safety and innovation through collaborative client feedback. With a presence in over 90 markets and partnerships with 700K+ publishers, RTB House delivers measurable results for both direct clients and agencies, helping them achieve competitive advantages in the digital advertising space.

1001 - 5000 employees

Founded 2012

🤖 Artificial Intelligence

💰 Private Equity Round on 2019-01

📋 Description

• 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. • 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.

🏖️ Benefits

• 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. • The possibility of publishing your results.