Sr. Software Engineer, ML Platform

SR. SOFTWARE ENGINEER, ML PLATFORM

As a Software Engineer on ML Platform at SpaceXSI, you'll build the infrastructure that turns real product usage into better models, and keeps research moving fast on large GPU fleets. ML Platform is organized into four teams. Depending on your background, you may join any of them. We're looking for strong distributed-systems and infrastructure engineers who want to sit next to research and ship platform primitives that move the product.

RESPONSIBILITIES

• Design, build, and operate core platform systems used daily by ML researchers and product engineers
• Partner closely 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, then raise the bar

BASIC

QUALIFICATIONS

• Bachelor's, Master's, or PhD in computer science, machine learning, or another quantitative discipline; OR equivalent work experience
• 5+ years of industry experience working with production distributed systems (e.g., infrastructure, ingestion, data pipelines, or scheduling/orchestration, etc.)

PREFERRED SKILLS AND

EXPERIENCE

• Experience owning production distributed systems at meaningful scale (ingestion, data pipelines, scheduling/orchestration, or similar)
• Experience partnering and building platforms for ML researchers and product engineers
• Thrive where ownership is high and the feedback loop is short
• Telemetry: event ingestion, product analytics pipelines, OpenTelemetry / tracing, reliable data APIs
• Product Data Platform: data frameworks, Spark / Flink / Ray, ML dataset and training-data infrastructure
• Observability: experiment / run monitoring, debug and eval tooling, agent-friendly observability UX
• ML DevX and Systems: GPU / cluster scheduling, job queues, node health, research compute developer experience

ADDITIONAL

REQUIREMENTS

• We're in-person with cozy offices in North Beach, San Francisco, Palo Alto, and Manhattan, New York, complete with well-stocked libraries
• If there appears to be a fit, we'll reach out to schedule 2-3 short technicals. After, we'll schedule an onsite in our office, where you'll work on a small project, discuss ideas, and meet the team

Annual Salary

$180,000 - $330,000 USD