Software Engineer (Ray Data)

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Наша компания

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.

Чем предстоит заниматься

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

Наши требования

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

Дополнительно

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

Anyscale

San Francisco

ГрейдMiddle

ЗанятостьПолная занятость

РегионНе Россия

ФорматОфис

ИсточникСкрыто

Опубликовано20 авг.

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