Software Engineer (Reinforcement Learning)


San Francisco, CA, US
  • Job Type: Full-Time
  • Function: Engineering Software
  • Post Date: 06/06/2021
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  • Company Address:

About Anyscale

Anyscale was founded by the creators of Ray, an open source project from the UC Berkeley RISELab.

Anyscale enables developers of all skill levels to easily build applications that run at any scale, from a laptop to a data center.

Job Description

RLlib is an open-source library for reinforcement learning that offers both high scalability and a unified API for a variety of applications. We're looking for software engineers with existing machine learning experience that are interested in continuing to improve RLlib.
We are looking for senior hires as well as less experienced but motivated individuals.
About Anyscale:
Anyscale provides an application development platform for developers to build distributed applications. We’re commercializing a popular open source project called Ray, which is a framework for distributed computing as well as an ecosystem of libraries for scalable machine learning. Our goal is to build a standardized platform for distributed computing. Ray was developed at UC Berkeley by Robert Nishihara and Philipp Moritz, under the guidance of Ion Stoica and Michael Jordan, and the four of them have co-founded Anyscale. The company raised a $20.6M Series A funding led by Andreessen Horowitz (a16z) with participation from NEA, Intel Capital, Ant Financial, Amplify Partners, 11.2 Capital, and The House Fund.
With Ray, we're making it easy to program at any scale (from your laptop to the datacenter) by providing easy-to-use, general-purpose, and high-performance tools. In addition, we are building a rich ecosystem of libraries (for reinforcement learning, hyperparameter search, experiment management, machine learning training, prediction serving, and more) on top of the core distributed system so that users can rapidly build sophisticated applications. Help us build the future of software development.
We are looking for passionate, motivated people who are excited to build tools to power the next generation of cloud applications.

As part of your role you will:

    • Develop high quality open source software to simplify reinforcement learning (RLlib)
    • Identify, implement, and evaluate promising new RL algorithms from the literature
    • Improve the testing process for RLlib to make releases as smooth as possible
    • Communicate your work to a broader audience through talks, tutorials, and blog posts
Must be willing to work onsite in our office.
We are excited to build a diverse team and encourage all to apply!

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.