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Software Engineer, ML Platform
Palo Alto, CA · On-site · Full-time · Posted Aug 31, 2026
About the job
Builds and operates ML platform infrastructure that helps researchers run experiments and turns product usage into improved models.
What you'll do
- Design, build, and operate platform systems used by ML researchers and product engineers.
- Partner with research to turn recurring problems into durable infrastructure.
- Own reliability, performance, and developer experience for platform systems.
What they ask for
- Strong background in systems or infrastructure software engineering.
- Experience owning production distributed systems at meaningful scale.
- Comfort with Linux, cloud and/or bare metal, and modern orchestration such as Kubernetes, Ray, or equivalent.
- Enjoy working closely with ML researchers and product engineers.
Nice to have
- Event ingestion, product analytics pipelines, OpenTelemetry or tracing, and reliable data APIs.
- Experience with data frameworks, Spark, Flink, Ray, ML datasets, training-data infrastructure, observability tooling, or GPU/cluster scheduling.
Tools
Linux, Kubernetes, Ray, OpenTelemetry, Spark, Flink
AI focus
Builds infrastructure for ML research and experimentation, supports research compute, and helps use real product activity to improve models.
Model-written summary · the original posting is authoritative