Machine Learning Scientist (Reinforcement Learning)

Posted 12 October by Lynx Recruitment Ltd
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We are looking for someone who is passionate and enthusiastic about Machine Learning verticals. 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-agents 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 internal product development
  • Communicating with executives and customers explaining the technology and its business/customer implications
  • Individual Contributor position that requires mentorship of Ph.D. 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 papers in reputed conferences and journals - such as NeurIPS, COLT, UAI, ICML, AAMAS, AISTATS, JMLR, PAMI, and others)

Required skills

  • Machine Learning
  • Research
  • Algorithm Development
  • Reinforcement Learning
  • theoretical analysis

Reference: 44107523

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