Software Engineer (Ray Data)
Anyscale is hiring a Software Engineer (Ray Data) for a remote role open to applicants in United States. It pays $215k-$230k a year and Level rates it ; you can apply on Anyscale.
Level's read on this job
- Builds AI ●●●● is how Level rates this software engineer role: the job is building AI systems.
- Pay on this posting starts 28% higher than the typical software engineer posting on Level.
- This is listed as a remote role.
- The posting mentions OpenAI, Python and Ray among its tools and skills.
- Anyscale has 20 other open roles on Level.
AI in this role
Build, optimize, and scale the Ray Data distributed data processing engine to support cutting-edge AI and ML workloads.
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.
As part of this role, you will:
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.
We'd love to hear from you if have:
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.
Why Anyscale
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 and the Right to Work posters in English and Spanish
How we rate this
Software Engineer (Ray Data) at Anyscale rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- This job starts at
- $215k
- Typical software engineer job
- $168k
This posting starts 28% above the typical software engineer job. See software engineer jobs
Questions you could be asked
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where data processing was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where performance optimization was part of your work. What did you do?
- Tell me about a project where fault tolerance was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Distributed Systems, Data Processing, Machine learning, Performance Optimization, and Fault Tolerance. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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