Anyscale
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San Francisco or Palo Alto, CA
Sponsorship not specifiedDetected 532 days ago
Distributed SystemsKubernetesMachine LearningData Science
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16Unrated
Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- Anyscale is looking for a Software Engineer to join the Infrastructure team.
- Our team is responsible for both the control plane, which orchestrates cluster management, scheduling, and user access, and the data plane, which ensures high-performance execution of distributed workloads.
- We are seeking a talented Software Engineer with a strong background in control plane and data plane development, along with expertise in Kubernetes, container orchestration, and cloud-native infrastructure.
Responsibilities
- 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 aims to provide the next generation of tools and infrastructure to make developing and running distributed AI applications in the cloud as easy as on your laptop.
Benefits
- We're commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning.
- As part of the Infra team, we build the scalable, secure, and robust backbone that enables this vision.
Company info
- About Anyscale: At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels.
- 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
- At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels.
Equal opportunity
- Anyscale Inc. is an Equal Opportunity Employer.
- Equal Opportunity Employer.
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This listing is sourced directly from Anyscale's careers page and normalized into a canonical job model.