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Ml Infrastructure Engineer Jobs (NOW HIRING)

ML Infrastructure Engineer

Palo Alto, CA · On-site

$124K - $250K/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 ...

ML Infrastructure Engineer

Palo Alto, CA

$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 ...

Senior ML Infrastructure Engineer

Manhattan, NY · On-site

$119K - $162K/yr

As a Senior ML Infrastructure Engineer, you will own the data infrastructure that supports underwriting, claims, and operational workflows, ensuring reliable and scalable data pipelines for the ...

Infrastructure Engineer

San Francisco, CA · 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

San Francisco, CA · 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 ...

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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 Jun 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.

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:
Infographic showing various Ml Infrastructure Engineer job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 33% In-person, and 67% Remote job distribution, with an average salary of $127,066 per year, or $61.1 per hour.
Senior ML Data Infrastructure Engineer

Senior ML Data Infrastructure Engineer

Redolent

Sunnyvale, CA • Remote

$129K - $175K/yr

Full-time

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


Job description

TITLE: ML Data Infrastructure Engineer LOCATION: Sunnyvale CA or Remote Duration: 12+ Months Rate: DOE Key skills - GCP ML Infrastructure, BigQuery, Dataflow, Airflow ( Cloud composer), Vertext AI , Datapipeline, ML Training Role Overview: We're seeking an experienced engineer to build our ML data infrastructure platform. You'll create the systems and tools that enable efficient data preparation, feature engineering, and dataset management for machine learning. This role focuses on the data foundation that powers our ML capabilities.
  • Key Responsibilities:
  • Design and implement scalable data processing pipelines for ML training and
  • validation
  • Build and maintain feature stores with support for both batch and real-time
  • features
  • Develop data quality monitoring, validation, and testing frameworks
  • Create systems for dataset versioning, lineage tracking, and reproducibility
  • Implement automated data documentation and discovery tools
  • Design efficient data storage and access patterns for ML workloads
  • Partner with data scientists to optimize data preparation workflows
  • Technical Requirements:
  • 7+ years of software engineering experience, with 3+ years in data infrastructure
  • Strong expertise in GCP's data and ML infrastructure:
    • o BigQuery for data warehousing
    • o Dataflow for data processing
    • o Cloud Storage for data lakes
    • o Vertex AI Feature Store
    • o Cloud Composer (managed Airflow)
    • o Dataproc for Spark workloads
  • Deep expertise in data processing frameworks (Spark, Beam, Flink)
  • Experience with feature stores (Feast, Tecton) and data versioning tools
  • Proficiency in Python and SQL
  • Experience with data quality and testing frameworks
  • Knowledge of data pipeline orchestration (Airflow, Dagster)
Nice to Have: • Experience with streaming systems (Kafka, Kinesis) • Experience with GCP-specific security and IAM best practices • Knowledge of Cloud Logging and Cloud Monitoring for data pipelines • Familiarity with Cloud Build and Cloud Deploy for CI/CD • Experience with streaming systems (Pub/Sub, Dataflow) • Knowledge of ML metadata management systems • Familiarity with data governance and security requirements • Experience with dbt or similar data transformation tools

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About Redolent

Sourced by ZipRecruiter

Redolent, a dynamic and rapidly expanding company committed to excellence in software solutions, where success is fueled by a combination of technical expertise and efficient management practices. Our solutions create a measurable delta in our clients’ productivity and profitability, contributing to their growth and success.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

San Jose, CA, US

Year founded

2008

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