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Ml Infrastructure Engineer Jobs (NOW HIRING)

Maven Robotics

ML Infrastructure Engineer

San Francisco, CA

$126K - $166K/yr

Build intuitive internal tools and abstractions that make complex infrastructure easy for engineers to use. * Lead technical and commercial discussions with cloud and ML compute providers, including ...

Sunday Inc

ML Infrastructure Engineer

Redwood City, CA · On-site

$131K - $172K/yr

Strong software engineering and systems fundamentals * Experience building distributed systems or large-scale data pipelines * Hands-on experience with ML training infrastructure, ideally PyTorch

Maven Robotics

ML Infrastructure Engineer

San Francisco, CA · On-site

$126K - $166K/yr

Build intuitive internal tools and abstractions that make complex infrastructure easy for engineers to use. * Lead technical and commercial discussions with cloud and ML compute providers, including ...

Predii

AI/ML Infrastructure Engineer

San Francisco, CA · On-site

$126K - $166K/yr

AI/ML Infrastructure Engineer Mid-Level to Senior | Engineering & Platform Ops US-based -- CA preferred, open to West Coast + remote. Hybrid-friendly. Address: 2211 Park Blvd, Palo Alto, CA 94306 ...

Predii

AI/ML Infrastructure Engineer

Fremont, CA · On-site

$117K - $154K/yr

AI/ML Infrastructure Engineer Mid-Level to Senior | Engineering & Platform Ops US-based -- CA preferred, open to West Coast + remote. Hybrid-friendly. Address: 2211 Park Blvd, Palo Alto, CA 94306 ...

Predii

AI/ML Infrastructure Engineer

Santa Clara, CA · On-site

$125K - $164K/yr

AI/ML Infrastructure Engineer Mid-Level to Senior | Engineering & Platform Ops US-based -- CA preferred, open to West Coast + remote. Hybrid-friendly. Address: 2211 Park Blvd, Palo Alto, CA 94306 ...

Predii

AI/ML Infrastructure Engineer

San Jose, CA · On-site

$126K - $165K/yr

AI/ML Infrastructure Engineer Mid-Level to Senior | Engineering & Platform Ops US-based -- CA preferred, open to West Coast + remote. Hybrid-friendly. Address: 2211 Park Blvd, Palo Alto, CA 94306 ...

Predii

AI/ML Infrastructure Engineer

Alameda, CA · On-site

$124K - $163K/yr

AI/ML Infrastructure Engineer Mid-Level to Senior | Engineering & Platform Ops US-based -- CA preferred, open to West Coast + remote. Hybrid-friendly. Address: 2211 Park Blvd, Palo Alto, CA 94306 ...

Predii

AI/ML Infrastructure Engineer

Sonoma, CA · On-site

$120K - $158K/yr

AI/ML Infrastructure Engineer Mid-Level to Senior | Engineering & Platform Ops US-based -- CA preferred, open to West Coast + remote. Hybrid-friendly. Address: 2211 Park Blvd, Palo Alto, CA 94306 ...

Predii

AI/ML Infrastructure Engineer

San Mateo, CA · On-site

$122K - $160K/yr

AI/ML Infrastructure Engineer Mid-Level to Senior | Engineering & Platform Ops US-based -- CA preferred, open to West Coast + remote. Hybrid-friendly. Address: 2211 Park Blvd, Palo Alto, CA 94306 ...

Predii

AI/ML Infrastructure Engineer

Mundelein, IL · On-site

$109K - $143K/yr

AI/ML Infrastructure Engineer Mid-Level to Senior | Engineering & Platform Ops US-based -- CA preferred, open to West Coast + remote. Hybrid-friendly. Address: 2211 Park Blvd, Palo Alto, CA 94306 ...

Predii

AI/ML Infrastructure Engineer

Santa Rosa, CA · On-site

$117K - $154K/yr

AI/ML Infrastructure Engineer Mid-Level to Senior | Engineering & Platform Ops US-based -- CA preferred, open to West Coast + remote. Hybrid-friendly. Address: 2211 Park Blvd, Palo Alto, CA 94306 ...

Sunday Robotics

ML Infrastructure Engineer

Redwood City, CA · On-site

$120 - $150/hr

Strong software engineering and systems fundamentals * Experience building distributed systems or large-scale data pipelines * Hands‑on experience with ML training infrastructure, ideally PyTorch

Predii

AI/ML Infrastructure Engineer

Sunnyvale, CA · On-site

$127K - $167K/yr

AI/ML Infrastructure Engineer Mid-Level to Senior | Engineering & Platform Ops US-based -- CA preferred, open to West Coast + remote. Hybrid-friendly. Address: 2211 Park Blvd, Palo Alto, CA 94306 ...

Predii

AI/ML Infrastructure Engineer

Hayward, CA · On-site

$123K - $161K/yr

AI/ML Infrastructure Engineer Mid-Level to Senior | Engineering & Platform Ops US-based -- CA preferred, open to West Coast + remote. Hybrid-friendly. Address: 2211 Park Blvd, Palo Alto, CA 94306 ...

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Showing results 21-40

All JobsMl Infrastructure Engineer Jobs

Ml Infrastructure Engineer information

See salary details

$46.5K

$127.1K

$182K

How much do ml infrastructure engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for ml infrastructure engineer in the United States is $127,066.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $141,000.00 per year, depending on experience, location, and employer.

What is the difference between Ml Infrastructure Engineer vs Data Engineer?

AspectML Infrastructure EngineerData Engineer
Required CredentialsBachelor's/Master's in CS, experience with cloud platforms, scripting, and ML toolsBachelor's/Master's in CS, experience with databases, ETL, and data pipelines
Work EnvironmentFocus on deploying and maintaining ML systems, cloud infrastructure, and automationDesigning and building data pipelines, managing large datasets, and data storage
Employer & Industry UsageTech companies, AI startups, research labsFinance, healthcare, e-commerce, and data-driven industries

The ML Infrastructure Engineer specializes in building and maintaining the infrastructure that supports machine learning models, focusing on deployment, scalability, and automation. In contrast, Data Engineers primarily develop data pipelines and manage large datasets to enable data analysis and business intelligence. Both roles require strong technical skills and often overlap, but their core focus areas differ significantly.

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What cities are hiring for Ml Infrastructure Engineer jobs?

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Ml Infrastructure Engineer jobs near you
Infographic showing various Ml Infrastructure Engineer job openings in the United States as of August 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $127,066 per year, or $61.1 per hour.

ML Infrastructure Engineer

Maven Robotics

San Francisco, CA

$126K - $166K/yr

Full-time

Re-posted 15 days ago

Job description

Company Overview

Maven Robotics is building the world's leading general-purpose robots and providing physical AI solutions for the most challenging industrial autonomy tasks.

Operating in stealth, we are assembling a team of world-class innovators who think from first principles. Our mission is to achieve human-level task success rates in complex environments, even when faced with limited fine-tuning data or evolving robotic hardware. We value unwavering truth-seeking, humility, and relentless determination.

Role Description

We are looking to recruit an exceptional Infrastructure Engineer to own and build the backend systems that power machine learning at Maven Robotics. In this role, you will design and scale the core infrastructure used by our AI and robotics teams to manage data, run compute workloads, store artifacts, monitor systems, and support rapidly growing engineering workflows.

You should be excited about distributed systems, backend services, data infrastructure, GPU compute, and high-reliability internal platforms. The ideal candidate has successfully built and operated similar systems before and can independently drive complex infrastructure projects from architecture through production operation. The underlying systems may be sophisticated, but the interfaces and workflows they expose should be reliable, intuitive, and easy for engineers to use.

In this role you will:

  • Own the architecture, implementation, reliability, and evolution of Maven's machine learning infrastructure.
  • Build backend services and platforms for managing data, artifacts, jobs, logs, metadata, and compute resources across cloud and on-premise environments.
  • Design scalable systems for workload orchestration, storage, observability, security, and infrastructure automation.
  • Build intuitive internal tools and abstractions that make complex infrastructure easy for engineers to use.
  • Lead technical and commercial discussions with cloud and ML compute providers, including capacity planning, performance, reliability, and cost.
Qualifications

Must-have:

  • Significant experience designing, building, and operating production backend, distributed, or compute infrastructure.
  • A track record of independently owning complex infrastructure projects from architecture through deployment and ongoing operation.
  • Strong programming ability in Python, Go, Rust, C++, or a similar backend or systems language.
  • Experience operating GPU compute infrastructure and orchestrating distributed workloads using Kubernetes, Ray, ZenML, or similar systems.
  • Experience designing and operating storage systems, observability platforms, infrastructure-as-code, and secure access controls.
  • Experience managing large-scale GPU fleets or hybrid cloud and on-premise compute environments.
  • Experience building internal developer platforms, CLIs, SDKs, or other self-service infrastructure tools.
  • Strong technical judgment, leadership, and communication skills, with the ability to drive decisions across teams and external partners.
  • Self-starter attitude with the ability to identify priorities and deliver durable solutions in a fast-paced startup environment.

Nice-to-have:

  • Familiarity with GPU architecture, accelerator-aware software design, and profiling compute-intensive workloads.
  • Exposure to infrastructure supporting large-scale robot learning workloads, including policy training, simulation, and multimodal data pipelines.
  • Familiarity with SOC 2 controls, security practices, and audit readiness.

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