Machine Learning Engineer

• Proficiency in designing and implementing IT systems
• The ability to create friendly, versatile tools
• Ability to critically analyze the created solutions in terms of efficiency (from theoretical estimation the efficiency of the designed systems to detecting and removing performance problems in production)

Additional advantages will be:

• Experience in creating distributed systems
• Good knowledge of Python data analysis tools such as Pandas, NumPy
• Good knowledge of selected Big Data technologies such as Hadoop, Kafka, Storm, Spark or Flink
• Knowledge of Machine Learning tools: Torch, PyTorch, TensorFlow

In return, we offer:

• Very attractive salary
• Work in a team of enthusiasts with experience in machine learning who willingly share their knowledge and skills
• Extremely flexible cooperation conditions - you work when it is convenient for you and devote as much time as you can, you can work fully remotely
• Access to the latest technologies and the possibility of real use of them in a large-scale and highly dynamic project
• The ability to use your knowledge and competences in practical applications - when optimizing algorithms that support hundreds of millions of Internet users and buyers billions of advertising views per month in the RTB model, based on extensive data sets
• The effects of your work immediately visible in the company's business results
• The possibility of publishing your results

Do you have questions about the project, team, work style? Visit our tech blog: http://techblog.rtbhouse.com/jobs/