ML Platform Engineer - Build Scalable AI Infra

Cursor; New York (NY); On-site; USD 180,000 - 260,000; Full time

Job summary

SpaceXAI in New York, NY is seeking a Software Engineer for the ML Platform to build and operate core infrastructure used by ML researchers and product engineers. The team spans Telemetry, ML Data Platform, Observability, and ML DevX and Systems to accelerate research and product development.

You will design scalable systems running on GPUs, collaborate with researchers, and own reliability and developer experience in a fast-paced, ownership-driven environment.

Qualifications

• Strong background in systems/infrastructure software engineering.
• Experience with production distributed systems at meaningful scale.
• Experience with Linux, cloud, and modern orchestration.
• Experience collaborating with ML researchers and product engineers.

Responsibilities

• Design, build, and operate core platform systems used daily by ML researchers and product engineers.
• Partner with research to turn recurring pain into durable infrastructure.
• Own reliability, performance, and developer experience for the systems in your lane.
• Ship iteratively in a flat, high-ownership environment; measure impact and raise the bar.

Skills

Distributed systems

Infrastructure engineering

Linux

Cloud

Kubernetes

Ray

Data pipelines

OpenTelemetry

Tools

OpenTelemetry

Kubernetes

Ray

Spark

Job description

SpaceXAI in New York, NY is seeking a Software Engineer for the ML Platform to build and operate core infrastructure used by ML researchers and product engineers. The team spans Telemetry, ML Data Platform, Observability, and ML DevX and Systems to accelerate research and product development.

You will design scalable systems running on GPUs, collaborate with researchers, and own reliability and developer experience in a fast-paced, ownership-driven environment.