Machine Learning Engineer - Remote Position

About the Role

We are seeking a talented Machine Learning Engineer to join our innovative team at RTB House. This remote Machine Learning Engineer position offers you the opportunity to work with cutting-edge technologies and contribute to our state-of-the-art marketing solutions. As a Machine Learning Engineer, you will play a crucial role in optimizing algorithms that support hundreds of millions of internet users and billions of ad views per month.

What You'll Do

• Develop and maintain the ML training platform and bidding infrastructure that evaluates ML models in a production environment.
• Identify performance bottlenecks and optimize critical, low-level parts of the system.
• Ensure the reliability and scalability of implementations, creating performance and correctness tests for new system components.
• Test and benchmark open-source Big Data and ML technologies to assess their suitability for production.
• Collaborate effectively within and across teams to drive innovation and improve existing solutions.

Requirements

• Proficiency in at least one programming language such as Python, C++, Java, or Scala.
• Strong skills in evaluating and optimizing system performance from initial design through production troubleshooting.
• Deep understanding of algorithms and data structures.
• Ability to develop user-friendly, versatile tools.
• Experience with GPU programming and Machine Learning frameworks such as Torch, PyTorch, or TensorFlow is a plus.

Nice to Have

• Previous experience in the field of Machine Learning.
• Solid foundation in mathematics.
• 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.
• Flexible working hours with the possibility of remote work.
• Access to the latest technologies and the opportunity to apply them in large-scale projects.
• The ability to see the immediate impact of your work on the company’s business outcomes.
• The possibility of publishing your results.