Anyscale

Anyscale

Staff Software Engineer, Ray Data

San Francisco · Staff+

Sponsorship not specifiedDetected 1 day ago
PythonDistributed SystemsGCPAzureMachine LearningData EngineeringData Science

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Cap-exempt (no lottery)0
Sponsors this role82
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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About the role

  • 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.

Responsibilities

  • Design, build, and improve the core systems that power Ray Data, with a focus on performance, scalability, and reliability.
  • Design and optimize distributed execution across different stages of data pipelines in heterogeneous environments.
  • Build data loading and processing solutions for production training and inference workloads.
  • Passion for solving the unsolved problems in large-scale AI infrastructure and building systems that enable the next generation of AI applications.

Requirements

  • 6+ years of experience building production-grade software, infrastructure, or developer-facing systems, with strong Python engineering experience.
  • 6+ years of experience personally owning core architectural decisions within a distributed data or compute engine, rather than primarily operating or using a platform someone else designed.
  • Deep experience with distributed systems internals, such as scheduling, fault tolerance, data partitioning, distributed execution, performance optimization, or database and query engine internals.

Skills

  • Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.
  • Ray Data is a Python-native data processing engine and a one-stop shop for all AI data processing needs.
  • Ray Data provides performant, first-class integration with cutting-edge AI frameworks using both multimodal and structured data.
  • Learn more about how Ray Data enables scalable multimodal AI workloads in Architecting Multimodal Data Pipelines That Scale with Ray.

Compensation

  • Competitive salary and equity, plus health/dental/vision coverage (many plans up to 99% employer-covered)

Benefits

  • Competitive salary and equity, plus health/dental/vision coverage (many plans up to 99% employer-covered)
  • We offer flexible time off, paid parental leave, and mental health support

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.
  • We are a team of engineers passionate about solving challenging problems in distributed systems, data processing, and performance at scale.
  • Work with customers and new-age AI-native companies to understand and solve challenges in scaling their AI workloads.

This listing is sourced directly from Anyscale's careers page and normalized into a canonical job model.