Machine Learning Engineer (MLE)

R&D | Tel Aviv

Empirical uses machine learning and behavioral science to help organizations understand their people better. We believe in measurement and validation and tackle some of the most challenging problems in the field of AI, such as bias and discrimination. We are looking for an exceptional Machine Learning Engineer to design and implement complex learning systems. Empirical encourages freedom of creation, learning and excellence. Knowledge in Machine Learning is not necessary, however it is an advantage for this position. We will give you the tools to be the best engineer you can be and the opportunity to lead products engineering from design to production.


  • Bachelor's degree in Computer Science / EE / Software Engineering / Exact Sciences, or equivalent practical experience.
  • 3 years of general purpose coding.
  • Experience in designing and implementing complex software systems.
  • Experience in Python and/or Node.js in Linux environment.
  • Knowledge in Microservices, API design, distributed systems and Containers.
  • Experience in designing and implementing ETL processes.


  • Design, develop, test, deploy, maintain and improve Machine Learning systems.
  • Manage individual project priorities, deadlines and deliverables.