Software Engineer (Ray Data)

Anyscale; San Francisco (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Anyscale is expanding the Ray Data team in San Francisco, seeking engineers to advance data processing, scale, and performance for AI workloads. You will contribute to a Python-native data processing engine and collaborate with customers to scale Ray in production environments.

Ideal candidates have 3–4 years of relevant experience and a strong background in distributed systems, data processing, and databases.

Qualifications

• At least 3-4 years of relevant work experience.
• Solid background in building scalable and fault‑tolerant distributed systems.
• Experience with data processing and database internals.
• Passionate about large‑scale systems and performance for AI.

Responsibilities

• Improve the performance of Ray Data and multi‑modal batch inference use cases.
• Ensure efficient scaling across different stages of the data pipeline in a heterogeneous environment.
• Build data loading solutions for production training workloads.
• Focus on stability and fault tolerance at high scale.
• Work with customers and AI native companies in scaling their AI workloads.

Skills

Distributed systems

Data processing

Database internals

Performance optimization

Job description

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.

Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.

About Ray Data Team

Ray Data is Python-native data processing engine that is a one stop shop for all AI data processing needs. Ray Data provides performant, first‑class integration with cutting edge AI frameworks using both multi‑modal and structured data.

The Ray Data team currently develops and maintains Ray Data. We are a team of engineers passionate about building a data processing engine which is a one‑stop shop for all of your ML/AI needs. We are looking for exceptional engineers to build, optimize, and scale Ray for modern and increasingly complex AI workloads.

Responsibilities

• Improve the performance of Ray Data and multi‑modal batch inference use cases.
• Ensure efficient scaling across different stages of the data pipeline in a heterogeneous environment.
• Build data loading solutions for production training workloads.
• Focus on stability and fault tolerance at high scale.
• Work with customers and AI native companies in scaling their AI workloads.

Qualifications

• At least 3-4 years of relevant work experience.
• Solid background in building scalable and fault‑tolerant distributed systems.
• Experience with data processing and database internals.
• Passionate about large‑scale systems and performance for AI.

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.

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