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.

О роли

Ray aims to provide a universal API for building distributed applications (e.g. a machine learning pipeline of feature engineering, model training, and evaluation). Data is usually a core element connecting these different stages, and therefore plays a critical role in Ray’s usability, performance, and stability. We are looking for strong engineers to build, optimize, and scale Ray’s Datasets library and data processing capabilities in general

Чем предстоит заниматься

Performance of Ray Datasets at large scale (leveraging Arrow primitives, optimizing Ray object manager, etc.)

Integration with ML training and data sources

Stability and stress testing infrastructure

Lead future work integrating streaming workloads into Ray such as Beam on Ray

Differentiate Data operations in Anyscale hosted Ray service

Наши требования

At least 5 years of relevant work experience

Solid background in algorithms, data structures, system design

Experience in building scalable and fault-tolerant distributed systems

Experience with data processing, database internals including Spark or Dask (streaming is a plus)

Дополнительно

The Ray Data team currently develops and maintains the Ray Datasets library, which is already powering critical production use cases (e.g. large scale data compaction at Amazon and ML pipeline at Alibaba Ray Datasets is a Python library built on top of Apache Arrow and Ray Core (Ray’s C++ backend), and the Ray Data team interacts closely with Ray Core components including the scheduler and the memory & I/O subsystems. The Ray Data team also works closely with Ray’s ML libraries including Train, RLlib, and Serve

Develop high quality open source software to simplify distributed programming (Ray)

Identify, implement, and evaluate architectural improvements to Ray core and Datasets

Improve the testing process for Ray to make releases as smooth as possible

Communicate your work to a broader audience through talks, tutorials, and blog posts

Anyscale

Bengaluru, Karnataka

ГрейдMiddle

ЗанятостьПолная занятость

РегионНе Россия

ФорматОфис

ИсточникСкрыто

Опубликовано28 июля

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