Machine Learning Engineer / Internship – Reinforcement Learning

Posted 1 month ago

VerifAI

Machine Learning Engineer / Internship – 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, Keras
  • Working knowledge of RL platforms such as OpenAI-Gym, SageMaker-RL,
  • 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 and one additional programming language
  • 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 and other Deep Learning Algorithms, as well as a deep understanding of software architecture and graph algorithms.

 

Locations:
Palo Alto, CA

Job Features

Job CategoryFull Time

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