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Ml Infrastructure Engineer Jobs in Seattle, WA (NOW HIRING)

Overland AI

Infrastructure Engineer

Seattle, WA · On-site

$130K - $225K/yr

As an infrastructure engineer, you'll design, build, and secure the platforms that power our ... Familiarity with ML/AI infrastructure, high-performance compute clusters, or robotics-focused ...

AZX

ML Engineer (Senior/Staff)

Seattle, WA · On-site

$140K - $220K/yr

This role suits someone who wants architectural ownership over hard ML infrastructure problems ... and evals-focused engineers to keep architecture coherent as the platform grows. Core ...

New

Meta

Software Engineer, Systems ML

Bellevue, WA · On-site

$154K/yr

Develop and maintain high-performance ML infrastructure components in C++ and Python, ensuring ... Mentor other engineers on ML infrastructure best practices, debugging methodologies, and ...

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Showing results 1-20

All JobsMl Infrastructure Engineer JobsMl Infrastructure Engineer Jobs in Seattle, WA

Ml Infrastructure Engineer information

See Seattle, WA salary details

$52.9K

$144.6K

$207.1K

How much do ml infrastructure engineer jobs pay per year?

As of Aug 29, 2026, the average yearly pay for ml infrastructure engineer in Seattle, WA is $144,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,300.00 and $160,500.00 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.

What are popular job titles related to Ml Infrastructure Engineer jobs in Seattle, WA?

For Ml Infrastructure Engineer jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Ml Infrastructure Engineer jobs in Seattle, WA look for?

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Ml Infrastructure Engineer jobs near you
Infographic showing various Ml Infrastructure Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $144,605 per year, or $69.5 per hour.

Senior Real-Time ML Infrastructure Engineer

3M HEALTHCARE

Bellevue, WA • On-site

$122K - $166K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Unity Technologies is seeking a Senior Machine Learning Infrastructure Engineer to join the Vector Ads team. You will build and operate the infrastructure that brings ML models from training into production in a high-scale, low-latency environment.

You will design, deploy, and maintain real-time ML serving systems, optimize latency and throughput, and collaborate across teams to impact how ML shapes the player and advertiser experience.

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