Machine Learning Scientist

  • Zebra Technologies
  • London WC2H, UK
  • 27/09/2021
Full time Data Science Machine Learning Data Analytics Big Data Data Management Statistics

Job Description

At Zebra, we extend the edge of possibility by shaping the future of work on the front line—reinventing how businesses run and moving society forward.
We are a community of changemakers, innovators and doers who come together to deliver a performance edge to the front line of business. We develop new technologies and create new solutions with partners to help organizations act with greater visibility, connectivity and intelligence—delivering better experiences for workers and those they serve.
Being a part of Zebra means being seen, heard, valued, and respected as you define your path to a fulfilling career. Here, you’ll have opportunities to learn and lead at a leading company, and you can channel your skills towards causes that you and the Zebra community care about, locally, and globally. Together, we've only begun to define the edge of what's possible—for our people, our customers, and the world!
About You:

We are looking for someone who is passionate and enthusiastic of Machine Learning vertical. Someone who is proficient in theoretical analysis of machine learning algorithms – especially deep reinforcement learning algorithms and experience in multi-agent reinforcement learning. We are also looking for someone who has a knowledge base of Bayesian statistics. Along with hands-on experience with at least one of the following: Python, C/C++, Java, etc. (PyTorch and Tensorflow). And professional experience in microservices-based deployment of AI algorithms on cloud platforms (GCP, AWS or Azure).
The Role:

You will lead advanced exploratory research and development projects in reinforcement learning and machine learning and related fields to create highly innovative customer solutions, so having a strong mathematical and machine learning background is key.

  • Work with external collaborators (universities and startups) and foster relationships in reinforcement learning domains, multi-agent’s systems, control systems, game theory, and other topics of relevance to machine learning and theoretical statistics.
  • Conduct theoretical/empirical research and development into sequential decision making and large-scale, open-ended learning.
  • Prototype and productize microservices
  • Contribute to the research community by publishing papers in machine learning
  • Provide research that can be applied to Zebra product development
  • Communicating with executives and customers explaining the technology and its business/customer implications
  • Individual Contributor position that requires mentorship of PhD level scientists and engineers.


  • PhD degree in Computer Science, Engineering, Mathematics or Statistics.
  • Postdoctoral training in machine learning.
  • A proven record of publications (at least a few first-author paper in reputed conferences and journals – such as NeurIPS, COLT, UAI, ICML, AAMAS, AISTATS, JMLR, PAMI, and others)

Why Zebra?We offer competitive fixed salary and on target earnings as well as a range of corporate benefits which support the lifestyle, professional development, health and learning of our people.
Zebra’s culture is encouraging and collaborative where employees are encouraged to learn and grow together. This is a phenomenal time to join us – we are excited to hear from you!
Equal Opportunities:
Zebra Technologies is committed to offering an inclusive & diverse working environment. Therefore, we encourage applicants from all sections of the communities