RTB House
Machine Learning Engineer
Rol remoto de Machine Learning Engineering con fit claro de ubicación del candidato.
Publicado13 jun 2026
Países elegibles1 país aceptado
Señal de senioritySenior
Modelo de trabajoRemoto
Ubicaciones aceptadas para candidatos
Polonia
Resumen del rol
Machine Learning Engineer
Requisitos y responsabilidades
Contenido del rol extraído en secciones para revisar más rápido.
Desired Experience:
- 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.
Additional Advantages:
- 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.
We Offer:
- The opportunity to cooperate with a team of enthusiasts experienced in Machine Learning, Big Data, and distributed systems, who are eager to share their knowledge and skills.
- Flexible cooperate hours, with the possibility of remote cooperate or cooperate 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 cooperate on the company's business outcomes.
- The possibility of publishing your results.
- Cooperation based on B2B contract or Contract of Mandate
- You can cooperate 100 % remotely or choose one of our office spaces in Warsaw or Cracow.
Daily Responsibilities:
- 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.
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