Software Engineer (Ray Data)
Anyscale · San Francisco
CHECKED 1H AGO
Infrastructureonsitemid-level$215k–$230k
At a glance
Highlights
- Build Python-native data engine powering large-scale AI workloads.
- Optimize multi-modal batch inference performance at massive scale.
- Scale production data loading for cutting-edge AI-native companies.
What they offer
- Competitive salary and equity
- Health/dental/vision coverage (many plans up to 99% employer-covered)
- Flexible time off
- Paid parental leave
- Mental health support
Ideal candidate
A distributed systems builder with 3-4 years experience who is passionate about performance and large-scale AI infrastructure and loves partnering with customers to solve complex scaling challenges.
Requirements
- 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
Lab profile
About Anyscale
Democratizing distributed computing by commercializing Ray for scalable machine learning and AI.
What they build
- Ray
- Ray Data
- Anyscale Runtime
Known for
- Distributed computing
- Scalable machine learning
- Distributed LLM inference
- Cloud infrastructure