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Ml Infrastructure Engineer Jobs (NOW HIRING)

This is a high-impact role at the intersection of cloud infrastructure and ML systems. Key ... Collaborate directly with senior engineers and product teams on architecture decisions * Own ...

Infrastructure Engineer

New York, NY · On-site

$130K - $240K/yr

This is a high-impact role at the intersection of cloud infrastructure and ML systems. Key ... Collaborate directly with senior engineers and product teams on architecture decisions * Own ...

Infrastructure Engineer

New York, NY · On-site

$130K - $240K/yr

This is a high-impact role at the intersection of cloud infrastructure and ML systems. Key ... Collaborate directly with senior engineers and product teams on architecture decisions * Own ...

Infrastructure Engineer

Seattle, WA · On-site

$130K - $240K/yr

This is a high-impact role at the intersection of cloud infrastructure and ML systems. Key ... Collaborate directly with senior engineers and product teams on architecture decisions * Own ...

This is a high-impact role at the intersection of cloud infrastructure and ML systems. Key ... Collaborate directly with senior engineers and product teams on architecture decisions * Own ...

ML Infrastructure Engineer, Fauna

New York, NY · On-site

$117K - $154K/yr

We are seeking a Machine Learning Engineer to work directly alongside our research scientists to ... This is a hands-on ML role: you will train policies, debug convergence, run experiments in ...

ML Infrastructure Engineer, Fauna

New York, NY · On-site

$117K - $154K/yr

We are seeking a Machine Learning Engineer to work directly alongside our research scientists to ... This is a hands-on ML role: you will train policies, debug convergence, run experiments in ...

ML Infrastructure Engineer, Fauna

New York, NY · On-site

$117K - $154K/yr

We are seeking a Machine Learning Engineer to work directly alongside our research scientists to ... This is a hands-on ML role: you will train policies, debug convergence, run experiments in ...

Company paid Wellable subscription Join Vultr Vultr is seeking a highly skilled and experienced Staff AI/ML Infrastructure Engineer to drive the design, performance, and reliability of our AI ...

About the Role As a Senior ML Infrastructure Engineer, you will own the data infrastructure that powers our underwriting, claims, and operational workflows, translating complex business logic into ...

About the Role As a Senior ML Infrastructure Engineer, you will own the data infrastructure that powers our underwriting, claims, and operational workflows, translating complex business logic into ...

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Ml Infrastructure Engineer information

See salary details

$46.5K

$127.1K

$182K

How much do ml infrastructure engineer jobs pay per year?

As of Jul 3, 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.

More about Ml Infrastructure Engineer jobs
What cities are hiring for Ml Infrastructure Engineer jobs? Cities with the most Ml Infrastructure Engineer job openings:
What states have the most Ml Infrastructure Engineer jobs? States with the most job openings for Ml Infrastructure Engineer jobs include:
What job categories do people searching Ml Infrastructure Engineer jobs look for? The top searched job categories for Ml Infrastructure Engineer jobs are:
Infrastructure Engineer

Infrastructure Engineer

Maxana

Seattle, WA

$130K - $240K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 11 days ago


Job description

Maxana is seeking an experienced Infrastructure Engineer for a confidential client - a fast-growing AI company. In this role you will build and maintain the platform layer supporting large-scale ML training, inference, and deployment. This is a high-impact role at the intersection of cloud infrastructure and ML systems.

Key Responsibilities

  • Build and maintain infrastructure supporting large-scale ML training and inference workloads
  • Work with GPU and compute infrastructure, distributed systems, and cloud-native platforms
  • Improve reliability, observability, and performance across the platform layer
  • Collaborate directly with senior engineers and product teams on architecture decisions
  • Own production reliability - monitoring, incident response, and proactive risk reduction
  • Develop and maintain internal tooling and automation to support engineering operations

Requirements

  • 5+ years of infrastructure or platform engineering experience in a production environment
  • Strong distributed systems background - experience with large-scale compute workloads preferred
  • Cloud-native infrastructure experience - AWS, GCP, or Azure; Docker and Kubernetes required
  • Familiarity with ML infrastructure a strong plus - training pipelines, inference serving, GPU workloads
  • Experience owning production reliability end to end

Benefits

  • Competitive base salary ($130,000-$240,000) + equity
  • Medical, dental, and vision
  • Flexible paid time off
  • Learning and development stipend
  • Working at the forefront of AI infrastructure at scale