Anyscale
From Anyscale's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
About the role: Anyscale is looking for an engineering leader to manage the open source Ray Data team.
At Anyscale https://www.anyscale.com/, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray https://docs.ray.io/en/latest/, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI https://thenewstack.io/how-ray-a-distributed-ai-framework-helps-power-chatgpt/, Uber https://www.uber.com/blog/horovod-ray/, Spotify https://engineering.atspotify.com/2023/02/unleashing-ml-innovation-at-spotify-with-ray/, Instacart https://www.youtube.com/watch?v=3t26ucTy0Rs&list=PLzTswPQNepXmLUiL4F_1VHrPcCz1OeILw&index=23&pp=iAQB, Cruise https://www.youtube.com/watch?v=gj0BqvfX_wI&list=PLzTswPQNepXmLUiL4F_1VHrPcCz1OeILw&index=46&pp=iAQB, 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 https://www.wsj.com/articles/ai-startup-anyscale-adds-99-million-to-andressen-horowitz-led-funding-round-11661254200 with $250+ million raised to date.
Anyscale is looking for an engineering leader to manage the open source Ray Data team. Ray Data https://docs.ray.io/en/latest/data/data.html is the Python-native data processing engine for AI workloads on Ray. It handles multimodal and structured data and powers batch inference, data loading for distributed training, and large-scale preprocessing. The team owns the open source library end to end, including:
The streaming execution engine, including scheduling, backpressure, and resource management across CPUs and GPUs
Batch inference for LLMs and multimodal models, including integrations with inference engines such as vLLM
Data loading for production training workloads with Ray Train and popular ML frameworks
Connectors for data sources and formats such as Parquet, Iceberg, Delta Lake, Lance, and cloud object storage
Performance, stability, and fault tolerance at large scale
This is a first-line engineering management role where you'll lead a team of engineers, stay involved in technical design and code, and own the team's roadmap within the open source project. Ray Data has a large and active community, so you'll also work closely with external contributors to review designs, guide technical direction, and support the project's continued growth and success. The team plays an important role in the broader Ray ecosystem and contributes directly to Anyscale's success.
Set the technical direction and roadmap for open source Ray Data, balancing community needs, customer needs, and Anyscale's product goals
Drive execution of the team's key projects, from design review through release
Hire, coach, and grow a world-class team of distributed systems and data infrastructure engineers
Run the team day to day: planning, prioritization, project tracking, on-call, and release quality
Stay technically hands-on through design and code review, performance investigations, and escalations on critical production issues
Represent Ray Data in the open source community: work with external contributors and maintainers, review Ray Enhancement Proposals, keep GitHub issue and PR triage healthy, and grow the contributor base
Partner with the Ray Core, Ray Train, Ray Serve, and Anyscale platform teams on cross-library features and end-to-end performance
Work with product management, field engineering, and customers, including AI-native companies running Ray Data at large scale, to understand their workloads and turn them into roadmap priorities
Build and maintain a team culture of collaboration, ownership, and high engineering standards
Communicate the team's work to a broader audience through talks, tutorials, blog posts, and at Ray Summit
Help us build and shape a world-class company
7+ years of software engineering experience, including 2+ years directly managing engineers, ideally at a high-growth startup
A record of building high-performing distributed teams and helping them scale quickly while maintaining a good culture
Experience with building and managing teams across geographic locations, preferably in US and India
Ability to keep a high hiring bar, motivate the team, coach and mentor engineers, and handle performance management issues
Deep technical knowledge of distributed systems and data-intensive systems, such as data processing engines, query engines, or database internals
Enough hands-on depth in Python and performance-sensitive systems code to review designs and work through performance and stability problems alongside the team
A great track record of execution, with a sense of urgency and excellent prioritization skills
Effective written and verbal communication with engineers, customers, and an open source community
NICE TO HAVE
Experience leading or maintaining a widely used open source project, including working with external contributors and project governance
Hands-on experience with Ray, Spark, Flink, Beam or similar engines
Experience with Apache Arrow, columnar formats, or table formats such as Iceberg and Delta Lake
Experience with GPU workloads, LLM or multimodal batch inference, or data loading for large-scale model training
Experience operating data or ML infrastructure in production
We believe in transparent pay practices. The anticipated base salary range for this role is $267,000 - $375,000. Final salary depends on experience, relevant skills, qualifications, and market considerations. In addition to base pay, eligible employees receive equity awards and enjoy a comprehensive benefits package designed to support their health, well-being, and financial future.
We're on a mission to make scalable computing effortless. Ray is the AI Compute Engine at the center of some of the world's most powerful AI platforms
Our tech is in production at companies like OpenAI, Uber, Spotify, Instacart, and Cruise
We're backed by Andreessen Horowitz, NEA, and Addition, with $250M+ raised to date
Recent partnerships with Azure, CoreWeave, and Google Cloud are putting AI-native compute directly into enterprise environments
Competitive salary and equity, plus health/dental/vision coverage (many plans up to 99% employer-covered)
We offer flexible time off, paid parental leave, and mental health support
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 https://drive.google.com/file/d/1Kt2S6_k_SjxaEdGowH4rngVdg2ApAQV3/view?usp=sharing and the Right to Work posters in English and Spanish https://drive.google.com/file/d/1K3Nz72xgsU2hngnVUEu53wEeZjbAMbnZ/view?usp=sharing
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