Software Engineer (Frontend)

San Francisco, CA /
Engineering /
About the role:
Developing scalable distributed applications is notoriously difficult, and debugging these applications is even worse. By exposing the right metrics and visualizations, providing high levels of observability into the underlying system and application behavior, and allowing users to take appropriate actions through the product frontend, we can make the experience of developing, running, and debugging software vastly more efficient and delightful.

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 software to empower software developers and simplify programming
    • Work with a team of leading distributed systems and machine learning experts
    • Communicate your work to a broader audience through talks, tutorials, and blog posts
    • Help us to build and shape a world class company


    • At least 2 years of relevant work experience
Must be willing to work onsite in our office.

We are excited to build a diverse team and encourage all to apply!