Top 10 Reinforcement Learning Jobs to Apply for in April 2022

Reinforcement learning jobs are in high demand with machine learning and deep learning

Reinforcement learning jobs are gaining popularity as a feedback-based machine learning technique to perform the actions as well as observe the results. The global reinforcement learning market is flourishing with deep learning algorithms and deep learning modules. Thus, there are multiple companies in reinforcement learning highly interested to hire for reinforcement learning jobs like reinforcement learning engineer. Reinforcement learning jobs are on high priority in the global tech market in the domain of machine learning and deep learning. The interested candidates must lookout for the right reinforcement learning vacancies with lucrative salary packages. Thus, let's explore some of the top ten reinforcement learning jobs across the world.

There are multiple reinforcement learning vacancies if one checks out professional websites like LinkedIn and many more for becoming a reinforcement learning engineer. Deep learning and machine learning are helping the government to earn revenue with the reinforcement learning jobs from reputed companies in reinforcement learning.

Top ten reinforcement learning jobs in April 2022

Freelance academic author- Introduction to reinforcement learning at IU

Location: Germany

Responsibilities: It is necessary to create a coursebook including a reading list of 130-180 pages from an existing module description while creating multiple assessment types.

Qualifications: The author needs to have a completed academic degree like a Master's and Ph.D. in any technical field with industry experience in developing course materials regarding reinforcement learning.

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Research assistant (reinforcement learning) at Nanyang Technological University, Singapore

Location: Singapore

Responsibilities: The responsibilities include acquiring knowledge and understanding of the key technologies on black-box and grey-box testing with statistical guarantees of deep learning architectures while implementing the research outcomes in a tool and integrating with case studies.

Qualifications: The candidate must have a Bachelor's degree in computer science or any technical field with proficiency in programming and other standard machine learning tools. It is necessary to have prior design and implementation experience in reinforcement learning technologies.

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Research Intern- NLP and deep reinforcement learning at Microsoft

Location: Washington

Responsibilities: It is needed to contribute to exciting research and development strides while collaborating with other researchers. The duty is to present findings and contribute to the community efficiently and effectively.

Qualifications: The candidate must be a Ph.D. in deep learning, NLP, and reinforcement learning with at least one year of experience in Python and deep learning libraries. There should be a rich experience in research and a strong publication record in top conferences like ICLR, ICML, KDD, and many more.

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Applied scientist, robotics, and reinforcement learning at Amazon

Location: Seattle

Responsibilities: It is essential to develop perception and navigation systems for robots while focusing on technical problem solving with best practices. The applied scientist should identify and initiate investigations of new technologies and prototype solutions for product features for the ultimate user experience.

Qualifications: The candidate should have a Ph.D. in machine learning or any technical field with a thorough understanding of both practical systems in academic research.

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Research scientist data-efficient reinforcement learning at Bosch

Location: Germany

Responsibilities: The research scientist should contribute to the research roadmap towards data-efficient real-life reinforcement learning while coordinating with customers. It is essential to develop and implement new reinforcement learning methods and supervise Ph.D. students.

Qualifications: There should be an excellent Ph.D. in machine learning with a strong publication record at top AI conferences and sufficient knowledge of reinforcement learning and high-quality research code.

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Research scientist in reinforcement learning at InstaDeep Ltd.

Location: London

Responsibilities: The research scientist should develop novel algorithms and research ideas of deep learning and reinforcement learning, and bridge the gap between the research and engineering teams for InstaDeep products and solutions. It is necessary to report and present experimental results and research findings while representing the company in events.

Qualifications: The candidate should have a Ph.D. or PG degree in any scientific field with an experience in deep learning frameworks like Pytorch and Tensorflow with a proven ability to contribute to research communities.

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Research scientist- Reinforcement learning, causal machine learning, personalization at Adobe

Location: Bengaluru

Responsibilities: It is necessary to develop and lead multiple research areas while publishing in top conferences and journals. The scientist should work with product teams to turn the research advances to impactful product features and collaborate with academic labs.

Qualifications: There should be an advanced degree in any technical field with either seven or more years of experience for senior positions. It is necessary to have multiple publications in top-tier conferences like ICLR, ICML, KDD, recommender systems, reinforcement learning, topological data analysis, and many more.

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Reinforcement learning engineer at Hertzai

Location: Chennai

Responsibilities: n/a

Qualifications: The reinforcement learning engineer should be a recent graduate with computer science or any other technical field. It is necessary to have proficiency in Python, deep learning models, deep learning algorithms, SOTA DL/ML/RL/ papers, PyTorch, Keras, and soon.

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Reinforcement learning algorithm expert at Aristocrat IT Solutions

Location: Chennai

Responsibilities: The duties include communicating to facilitate scientific progress in different research documentation, research implementation, and research publication work while computationally solving scientific research and informatics problems.

Qualifications: The candidate should have either a Ph.D., Master's, or Bachelor's with a strong command of any programming language and ERP tools.

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Reinforcement learning engineer at ZF Tech Center

Location: Hyderabad

Responsibilities: The reinforcement learning engineer should formulate real-world causal inference and experimental design problems with different reinforcement learning algorithms and independently conduct research for the best approach.

Qualifications: The candidate must have an M. Tech or Ph.D. in a cany technical field with sufficient research experience. There should be a strong proficiency in C++, Python, OpenAI Gym, reinforcement learning, libraries, statistical modelling, and debugging complex software systems.

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