Software Engineer, ML Developer Experience
Anyscale · San Francisco
CHECKED 1H AGO
Infrastructureremote$226k–$283k
At a glance
Highlights
- Own end-to-end experience scaling AI workloads from laptop to cluster.
- Build next-gen MLOps tooling for fine-tuning, serving and evaluation.
- Surface observability to diagnose failures across jobs, nodes and GPUs.
What they offer
- Equity
Ideal candidate
Product-minded engineer with 5+ years building production services who loves developer tooling and turning complex distributed systems into intuitive experiences for users and coding agents.
Requirements
- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
- 5+ years of experience writing high-quality production code
- Solid background in algorithms, data structures, and system design
- Experience working with modern machine learning tooling — PyTorch, MLflow, data catalogs, and similar
- Hands-on experience building and operating highly available services in production
- Strong product instincts and a track record of shipping developer-facing tools that people choose to use
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