Senior Machine Learning Engineer
Core
Designing and implementing complex IT systems, specifically ML training platforms and bidding infrastructure for a Deep Learning-powered ad-buying engine.
Role type
Senior Machine Learning Engineer (Systems & Infrastructure)
Builds
ML training platform, bidding infrastructure, and optimized low-level system components for ad-tech products.
Domain
AdTech / Digital Marketing / Deep Learning
Deliverable
production ML models | infrastructure
Required skills
Python, C++, Java, or Scala; Linux; algorithm and data structure design; system performance optimization; distributed systems architecture; Big Data technologies (Hadoop, Kafka, Storm, Spark, Flink); GPU programming; cloud platform expertise (GCP).
Preferred skills
Machine Learning frameworks (Torch, PyTech, TensorFlow); mathematics foundation; experience with ML training and bidding systems.
Technologies
Python, C++, Java, Scala, Linux, Hadoop, Kafka, Storm, Spark, Flink, Torch, PyTorch, TensorFlow, Google Cloud Platform (GCP).
Responsibilities
Develop and maintain the ML training platform and bidding infrastructure; identify and optimize performance bottlenecks in critical system parts; ensure reliability and scalability of implementations; test and benchmark open-source Big Data and ML technologies for production suitability.
Seniority
Senior, hands-on IC
