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Ray Jobs (NOW HIRING)

Anyscale

Software Engineer (Ray Data)

San Francisco, CA · On-site

$134K - $162K/yr

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 ...

Anyscale, Inc.

$84K - $101K/yr

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 ...

Anyscale, Inc.

Software Engineer (Ray Data)

San Francisco, CA · On-site

$134K - $162K/yr

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 ...

Allied Vaughn

Blu Ray & DVD Authoring

Edina, MN · On-site

We are a leader in film and television title distribution and we are seeking an experienced Blu Ray and DVD Authoring Technician. This is a full time position but flexible. It is important that you ...

Allied Vaughn

Blu Ray & DVD Authoring

Edina, MN · On-site

Description We are a leader in film and television title distribution and we are seeking an experienced Blu Ray and DVD Authoring Technician. This is a full time position but flexible. It is ...

Project H.O.M.E.

Receptionist - Ray

Philadelphia, PA · On-site

$18.15/hr

Receptionist - Ray At Project HOME, every role contributes to our mission of empowering individuals to achieve stability, wellness, and self-determination. As a Receptionist , you will serve as a ...

EssilorLuxottica

Ray-Ban Sales Associate

Lahaina, HI · On-site

$14.50 - $19.75/hr

Ray-Ban is part of EssilorLuxottica, a global leader in the design, manufacture and distribution of world-class vision care products, including iconic eyewear, advanced lens technology and cutting ...

Ray

Growth Marketer

Cambridge, MA · On-site

$120K - $140K/yr

About Ray Ray is building an AI-powered personal trainer for everyone, on a mission to help millions of people stay healthy through technology that can speak, listen, and watch you work out. We're a ...

EssilorLuxottica Group

Ray-Ban Sales Associate

Lahaina, HI · On-site

$14.50 - $19.75/hr

Ray-Ban is part of EssilorLuxottica, a global leader in the design, manufacture and distribution of world-class vision care products, including iconic eyewear, advanced lens technology and cutting ...

Essilor

Ray-Ban Sales Associate

Lahaina, HI · On-site

$14.50 - $19.75/hr

Ray-Ban is part of EssilorLuxottica, a global leader in the design, manufacture and distribution of world-class vision care products, including iconic eyewear, advanced lens technology and cutting ...

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Ray information

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How much do ray jobs pay per week?

As of Sep 15, 2026, the average weekly pay for ray in the United States is $2,094.00, according to ZipRecruiter salary data. Most workers in this role earn between $1,740.38 and $2,500.00 per week, depending on experience, location, and employer.

What is a Ray?

Ray jobs refer to distributed computing tasks managed by the Ray framework, which is an open-source library for scaling Python applications. Ray allows developers to run parallel and distributed workloads, such as machine learning training or data processing, across multiple CPUs and GPUs. Ray jobs can be anything from simple functions to complex pipelines, and they are managed and scheduled by Ray's job management system. This makes it easier to scale applications without significant changes to existing code.

What are the key skills and qualifications needed to thrive as a Ray engineer, and why are they important?

To thrive as a Ray Distributed Computing Engineer, you need a solid background in software engineering, distributed systems, and proficiency with Python, often supported by a degree in computer science or a related field. Familiarity with Ray's APIs, machine learning frameworks, cloud platforms, and containerization tools like Docker and Kubernetes is typically required. Problem-solving, collaboration, and effective communication stand out as crucial soft skills in this role. These skills and qualifications are essential for developing scalable, high-performance distributed applications and collaborating efficiently within a technical team.

What are some common challenges faced by Ray engineers when deploying large-scale distributed applications?

Ray engineers often encounter challenges related to resource management, debugging, and ensuring fault tolerance when deploying distributed applications at scale. Effectively allocating resources across clusters and handling network or node failures require a solid understanding of Ray's architecture and orchestration tools. Additionally, debugging distributed workloads can be complex, so familiarity with Ray's monitoring and logging capabilities is essential. Collaborating closely with data scientists, DevOps, and infrastructure teams is a typical part of the workflow to ensure seamless deployment and scalability.

What is the difference between Ray vs Data Engineer?

AspectRayData Engineer
Required CredentialsTypically a background in computer science, programming, or data science; certifications varyDegree in computer science, information technology, or related field; often certifications in data management
Work EnvironmentDistributed computing, AI, and machine learning projects; often in tech companies or research labsData pipeline development, database management, ETL processes; in tech, finance, healthcare, and more
Employer & Industry UsageUsed by organizations implementing distributed computing and AI workloadsEmployed across industries managing large-scale data systems and analytics

While Ray is a framework for distributed computing and AI workloads, Data Engineers focus on building and maintaining data pipelines and infrastructure. Both roles require technical skills, but Ray is more specialized in distributed processing, whereas Data Engineers work broadly with data systems across industries.

More about Ray jobs

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The top searched job categories for Ray jobs are:

Ray jobs near you
Infographic showing various Ray job openings in the United States as of September 2026, with employment types broken down into 3% As Needed, 67% Full Time, 21% Part Time, and 9% Contract. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $108,888 per year, or $52.4 per hour.

Software Engineer (Ray Data)

San Francisco, CA • On-site

Anyscale
Software Development • 51 - 200 employees
Learn more about Anyscaleexternal

$134K - $162K/yr

Other

Re-posted 6 days ago

Job description

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.

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.
  • Build data loading solutions for production training workloads.
  • Focus on stability and fault tolerance at high scale.
  • Work with customers and 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 and 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.

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