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Ml Infrastructure Engineer Jobs in California (NOW HIRING)

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 ...

Zensors

AI/ML Infrastructure Engineer

San Francisco, CA · On-site

$126K - $166K/yr

As a Machine Learning Engineer in ML Runtime & Optimization , you will develop technologies to ... infrastructure. * Model Acceleration: Applying advanced model optimization techniques--such as ...

Spellbrush

HPC/ML Infrastructure Engineer

San Francisco, CA · On-site

$126K - $166K/yr

Spellbrush is seeking an experienced HPC/ML Infrastructure Engineer to lead the administration and operations of a large anime AI training cluster. The role involves bridging the gap between ...

AppLovin

ML Infrastructure Engineer

Palo Alto, CA · On-site

$124K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

A Day in the Life As a member of our software engineering infra team, you'll solve technical challenges, including upgrading and implementing state-of-the-art software infrastructure. The team builds ...

AppLovin

ML Infrastructure Engineer

Palo Alto, CA · On-site

$126K - $165K/yr

A Day in the Life As a member of our software engineering infra team, you'll solve technical challenges, including upgrading and implementing state-of-the-art software infrastructure. The team builds ...

AppLovin

ML Infrastructure Engineer

Palo Alto, CA · On-site

$124K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

A Day in the Life As a member of our software engineering infra team, you'll solve technical challenges, including upgrading and implementing state-of-the-art software infrastructure. The team builds ...

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Showing results 21-40

All JobsMl Infrastructure Engineer JobsMl Infrastructure Engineer Jobs in California

Ml Infrastructure Engineer information

See California salary details

$45.9K

$125.4K

$179.6K

How much do ml infrastructure engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for ml infrastructure engineer in California is $125,402.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $139,200.00 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 California?

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

What job categories do people searching Ml Infrastructure Engineer jobs in California look for?

The top searched job categories for Ml Infrastructure Engineer jobs in California are:

What cities in California are hiring for Ml Infrastructure Engineer jobs?

Cities in California with the most Ml Infrastructure Engineer job openings:

Ml Infrastructure Engineer jobs near you
Infographic showing various Ml Infrastructure Engineer job openings in California as of August 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $125,402 per year, or $60.3 per hour.

Data/ML Infrastructure Engineer

Matter Intelligence

San Francisco, CA • On-site

$126K - $166K/yr

Full-time

Medical, Dental, Vision

Re-posted 24 days ago

Job description

About the Role
We are seeking a Data Infrastructure Engineer to build and operate the infrastructure that turns drone, aerial, and orbital sensing data into production datasets, models, and customer-facing insights. This role spans ingestion, processing, storage, compute, and serving, with a strong emphasis on reliability, observability, performance, and cost.
You will work closely with research and product engineering to shorten iteration cycles, improve reproducibility, and raise the quality bar for production systems. You will define clear interfaces and operational standards that keep the platform trustworthy as data volume, model complexity, and product usage scale.
What You'll Do
  • Design, build, and operate scalable data and ML infrastructure on AWS, including workloads running on Kubernetes
  • Build and maintain systems for ingestion, processing, storage, and serving, with strong guarantees around data quality, correctness, and operational safety
  • Partner closely with research to support perception model training and evaluation workflows, enabling faster experimentation and more reproducible iteration
  • Build platform primitives for observability, data versioning, lineage, evaluation, reproducibility, and operational excellence
  • Partner with product engineering to ensure data- and model-derived insights are accessible through reliable, low-latency serving and retrieval interfaces
  • Design systems that enable efficient access patterns for customer-facing products, including search, indexing, and large-scale querying
  • Identify and address bottlenecks in throughput, cost, and operational complexity as the platform scales

What We're Looking For
You have strong software engineering fundamentals and have built production systems where reliability, cost, and performance matter. You can reason clearly about distributed systems tradeoffs, and you have experience designing data-intensive infrastructure that other engineers depend on.
You are comfortable working across data platform and ML platform concerns, and you understand how tightly coupled they become in production. You care about reproducibility, debuggability, and developer experience because you have seen how quickly they become bottlenecks.
You work effectively across research and product teams. You can translate ambiguous needs into clear interfaces and systems, and you can drive work from design through production while maintaining a high quality bar.
A few things we expect in this role:
  • Meaningful experience building production data infrastructure, ML infrastructure, or distributed systems
  • Strong programming skills in Python and SQL, with the judgment to choose the right abstractions and interfaces for production systems
  • Experience building and operating systems on AWS
  • Familiarity with modern infrastructure and platform tooling, including Kubernetes, Docker, and Terraform
  • Experience working with production storage and serving systems such as Postgres and Redis
  • Familiarity with data and ML workflow tooling such as Metaflow
  • Strong instincts for observability, testing, and operational excellence

Nice to Have
  • Experience supporting ML training, evaluation, batch inference, or model deployment in production
  • Familiarity with modern large-scale data patterns and tooling, including streaming, backfills, partitioning strategy, and schema evolution
  • Experience building internal platform primitives such as data versioning and lineage, dataset curation, experiment tracking, or tooling for reproducible workflows
  • Exposure to perception, multimodal, or geospatial systems, especially where data originates from real sensors and is used in real products

Location
This is a full-time role based in San Francisco, CA.
ITAR Requirements
To comply with U.S. export regulations, applicants must be one of the following:
  • A U.S. citizen or national
  • A lawful permanent resident (green card holder)
  • Eligible to obtain required authorizations from the U.S. Department of State

Employee Offerings & Benefits
At Matter, we believe in rewarding high performance and providing the support you need to thrive. Our compensation and benefits package includes:
  • Competitive compensation based on experience
  • Early-stage equity package
  • 100% employer-paid health, dental, and vision coverage
  • Opportunity to work on novel sensing, data, and AI systems with real-world deployment paths across drone, aerial, and orbital platforms

Who You Are
You are a strong engineer who likes building reliable systems that other teams can trust. You care about infrastructure quality, operational rigor, and clear interfaces. You are energized by working close to the data, close to the models, and close to the product.

Apply