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This listing was closed on Aug 23, 2026.
Browse Open JobsML Infrastructure Engineer
Summary by AIEngineer.careers
ML Infrastructure Engineer is a AI Infrastructure Engineer role (full-time). with xAI. in PALO ALTO, US. Compensation shown: $180K–$440K. Imported listing (source: zerogtalent.com). Apply on the employer's site (zerogtalent.com).
Imported listing (source: zerogtalent.com) · Apply on zerogtalent.com
PALO ALTO · US
$180K–$440K
Full-time
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from zerogtalent.com
xAI is seeking an ML Infrastructure Engineer to build and optimize the high-performance ML platform powering recommendations on X. You will design GPU compute infrastructure, develop data pipelines, and collaborate with ML teams to productionize models. The role involves working across the full stack to ensure scalability and efficiency of large-scale ML systems.
Responsibilities
- Designing, building, and scaling GPU compute infrastructure, training frameworks, and experimentation tools
- Developing data pipelines and integrating large-scale data, training, and inference systems
- Collaborating with ML teams to productionize models and ensure seamless integration across the stack
- Ensuring scalability, reliability, and efficiency of large-scale machine learning systems
- Working across the full stack to solve complex problems independently
- Mentoring junior engineers and contributing to team growth
Requirements
- Bachelor, Master, or PhD in computer science, machine learning, or equivalent experience
- 2+ years industry experience with high-traffic/large-scale production environments, distributed systems, GPU infrastructure, or deep learning
- 2+ years experience with ML platforms, training infrastructure, or collaboration with modeling engineers
xAI
New York · US · 2204+ employees
xAI is an artificial intelligence company focused on advancing scientific discovery and building AI systems to better understand the universe. It is a subsidiary of SpaceX that develops frontier reasoning models like Grok.
