Software Engineer (Ray Data)
AnyscaleAbout the role
EngRadar / Anyscale
Software Engineer (Ray Data)
Anyscale
Anyscale is commercializing Ray, an open-source project for scalable machine learning, to make distributed computing accessible to developers of all skill levels.
San Francisco Full-time Posted today machine learningdistributed computingai
$215k–$230k Apply directly →
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.
As Part Of This Role, You Will
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.
Building data loading solutions for production training workloads.
Focus on stability and fault tolerance at high scale
Working with customers and new age AI native companies in scaling their AI workloads.
We'd Love To Hear From You If Have
At least 3-4 years of relevant work experience
Solid background in building scalable and fault-tolerant distributed systems
Experience with data processing, 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.
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
Posted by Anyscale on their own careers page — you apply directly, no recruiter in between. View original / apply →
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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
- Building data loading solutions for production training workloads
- Focus on stability and fault tolerance at high scale
- Working with customers and new age 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, database internals
- Passionate about large scale systems and performance for AI
Skills mentioned
About Anyscale
EngRadar is a direct-apply tech job board. We surface open engineering and product roles straight from companies' own Greenhouse, Lever and Ashby career pages — no recruiters, no aggregators, no ghost jobs. Browse fresh, daily-updated jobs across full-stack, AI/ML, backend, data, DevOps, product, design and security — each linking directly to the employer's application. We also publish measured, first-party hiring data: monthly hiring reports, the fastest-growing companies, and disclosed-salary benchmarks. Find the roles worth applying to at engradar.com.