Machine Learning Engineer – Reinforcement Learning

Posted 1 year ago

Machine Learning Engineer / Architect – Reinforcement Learning

What you will do:

  • Develop and implement  Deep Learning/Reinforcement Learning algorithms using  various aspects such as state exploration, delayed rewards etc.

What we are looking for:

  • Deep understanding of  Reinforcement Learning techniques
  • Expert understanding of Value based, Model based and Policy based Reinforcement Learning techniques
  • Good understanding of MDP’s
  • Deep working knowledge of machine learning frameworks such as TensorFlow, Caffe, Keras, SparkML
  • Working knowledge of RL platforms such as OpenAI-Gym, SageMaker-RL, Horizon
  • Expert knowledge in Statistical and Probabilistic methods such as SVM, Decision-Trees, Clustering..
  • Expert knowledge of python data-science and math packages such as NumPy , Pandas, Sklearn
  • Excellent coding skills in Python, C++
  • Deep understanding of software development, architecture and methodology
  • Min qualifications: BS in Computer-Science or Math
  • Preferred qualifications: Phd in CS or Math
  • Cloud &  Container Orchestration using Kubernetes , Docker — Big Plus

Qualified Candidates will have a deep understanding of Reinforcement Learning, Data-Science and other Machine Learning techniques, as well as a deep understanding of software architecture and graph algorithms.

 

Locations:
Palo Alto, CA

Job Features

Job CategoryFull Time, Part Time

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