About Anyscale:
At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.
With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.
Anyscale is based in San Francisco, CA. Employees are required to come in office 3x a week.
About the role
We are seeking a Backend Software Engineer to join our team focused on building user-facing application features for the Anyscale AI platform. The role involves interacting with users, understanding their requirements, designing and implementing features, and finally maintaining and improving these features over time. The backend of the platform generally deals with implementing the core business logic of these features.
About the team
The Workspace & Observability Team is dedicated to empowering clients to create robust AI applications using our powerful platform built on Ray. We are a collaborative group of experts committed to providing bespoke monitoring tools and integrations that enhance the development lifecycle. In particular, these tools accelerate the process of writing, debugging, deployment, and monitoring of AI applications.
Observability in a distributed cluster can deal with a ton of data. There are a ton of interesting problems to solve around how to ingest, aggregate, format, and ultimately present that data to our users in a digestible way. With Ray and Anyscale, we have the opportunity to provide great tools out of the box for our users. Join us in shaping the future of AI application development!
About the role
We are seeking a Backend Software Engineer to join our team focused on building user-facing application features for the Anyscale AI platform. The role involves interacting with users, understanding their requirements, designing and implementing features, and finally maintaining and improving these features over time. The backend of the platform generally deals with implementing the core business logic of these features.
About the team
The Workspace & Observability Team is dedicated to empowering clients to create robust AI applications using our powerful platform built on Ray. We are a collaborative group of experts committed to providing bespoke monitoring tools and integrations that enhance the development lifecycle. In particular, these tools accelerate the process of writing, debugging, deployment, and monitoring of AI applications.
Observability in a distributed cluster can deal with a ton of data. There are a ton of interesting problems to solve around how to ingest, aggregate, format, and ultimately present that data to our users in a digestible way. With Ray and Anyscale, we have the opportunity to provide great tools out of the box for our users. Join us in shaping the future of AI application development!
A snapshot of projects you may work on
We'd love to hear from you if have
Compensation
This role is also eligible to participate in Anyscale's Equity and Benefits offerings, including the following:
Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.
Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish
About Anyscale:
At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.
With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.
Anyscale is based in San Francisco, CA. Employees are required to come in office 3x a week.