Staff Software Engineer / Tech Lead Manager

Description: About the role: 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.

About the Ray Data team:

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.

A snapshot of projects you will work on:

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 As part of this role, you will: 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 We'd love to hear from you if have: At least 2 year 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) Compensation At Anyscale, we take a market-based approach to compensation. We are data-driven, transparent, and consistent. The target salary for this role is $170,112 ~ $237,000. As the market data changes over time, the target salary for this role may be adjusted.

This role is also eligible to participate in Anyscale's Equity and Benefits offerings, including the following:

Stock Options Healthcare plans, with premiums covered by Anyscale at 99% 401k Retirement Plan Wellness stipend Education stipend Paid Parental Leave Flexible Time Off Commute reimbursementAbout the role: We're looking for passionate, motivated people who are excited to build tools that will power the next generation of cloud applications. If the idea of an infinite laptop appeals to you, let's build the future of software development together.

We're hiring exceptional Staff Software Engineers for a variety of open roles, including:

Distributed systems
Observability
Production serving
Site Reliability
Developer Productivity

We are particularly looking for staff and above candidates who can help lay down solid architectural foundations for the future of Ray and Anyscale. We are open to both Individual Contributors and people who are primarily technical but have prior experience managing a small team. As part of this role, you will: Develop high-quality software to empower software developers and simplify programming through the Anyscale platform Work on difficult architectural problems and turn them into reality Work with a team of leading experts in the areas of distributed systems and machine learning Communicate your work to a broader audience through talks, tutorials, and blog posts You like to work closely with end users and iterate on the product with them Help us build and shape a world-class company We'd love to hear from you if you have: You have 5+ years of building, scaling and maintaining software systems in production environments Solid fundamentals in algorithms, data structures, system design Experience designing fault-tolerant distributed systems Strong architectural skills Bonus Points! Experience working with a cloud technology stack (AWS, GCP, Kubernetes) Experience building machine learning training pipelines or inference services in a production setting Experience with big data tools (Spark, Flink, Hadoop) Experience managing small teams in pursuit of an ambitious technical goal Compensation At Anyscale, we take a market-based approach to compensation. We are data-driven, transparent, and consistent. The target salary for this role is $237,000 ~ $284,614. As the market data changes over time, the target salary for this role may be adjusted.

This role is also eligible to participate in Anyscale's Equity and Benefits offerings, including the following: