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Machine Learning Infrastructure Engineer Jobs (NOW HIRING)

Jobzhr

$350 - $500/hr

Build and scale the infrastructure and data pipelines behind Safeguards machine learning research ... Strong software engineering fundamentals and hands-on coding ability, with proficiency in Python

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Machine Learning Infrastructure Engineer information

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$46.5K

$127.1K

$182K

How much do machine learning infrastructure engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for machine learning 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 a machine learning infrastructure engineer?

A Machine Learning Infrastructure Engineer designs, builds, and maintains the systems that support the development and deployment of machine learning models. This includes managing data pipelines, optimizing model training and inference, and ensuring scalability and reliability in production environments. They work closely with data scientists, ML engineers, and DevOps teams to create efficient workflows and infrastructure. Key technologies often include cloud platforms, containerization, orchestration tools, and distributed computing frameworks.

What are the key skills and qualifications needed to thrive as a machine learning infrastructure engineer?

To thrive as a Machine Learning Infrastructure Engineer, you need a strong background in computer science, cloud computing, distributed systems, and experience with machine learning frameworks, often supported by a degree in a related field. Familiarity with tools such as Docker, Kubernetes, Terraform, as well as cloud platforms like AWS, GCP, or Azure, and certifications in cloud or DevOps technologies are highly valued. Strong problem-solving abilities, effective communication, and collaboration skills help engineers work seamlessly with data scientists and cross-functional teams. These skills are essential to design, implement, and maintain robust, scalable infrastructure that enables efficient machine learning development and deployment.

What are some common challenges faced by machine learning infrastructure engineers, and how can these be addressed on the job?

Machine Learning Infrastructure Engineers often face challenges such as ensuring infrastructure scalability, managing resource allocation, and maintaining system reliability while supporting rapid experimentation by data science teams. Balancing the needs for flexibility in research environments with production-grade stability requires a deep understanding of both engineering best practices and the unique requirements of machine learning workflows. Collaboration with data scientists, clear communication about infrastructure capabilities, and staying current with fast-evolving technologies are key strategies for success. Most companies encourage ongoing learning and provide opportunities to contribute to architecture decisions, which makes this a rewarding environment for problem-solvers and innovators.

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Machine Learning Infrastructure Engineer jobs near you
Infographic showing various Machine Learning Infrastructure Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $127,066 per year, or $61.1 per hour.

Senior Machine Learning Infrastructure Engineer, Creator Studio

Apple

Culver City, CA • On-site

$118K - $161K/yr

Full-time

Re-posted 11 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly! The Creator Studio team needs your help shaping the next generation of creative editing tools by working on pioneering technologies to surprise and delight creative pros and enthusiasts alike.
As a Machine Learning Infrastructure engineer, you will be working alongside world-class engineers and creatives to help innovate in the creative space in ways that only Apple can. This is a highly visible and impactful opportunity!
Description
In this role you will lead the development of scalable ML data infrastructure, enabling high-quality ML model development and continuous improvement of application features for creatives.
Minimum Qualifications
BS/MS in Computer Science or related field with 3+ years of relevant industry experience.
Proficiency in a high-level programming language (preferably Python) and database query language (e.g., SQL).
Strong understanding of software engineering best practices, especially around data modeling, schema design and building maintainable data access layers.
Experience developing and optimizing large-scale ML workloads running on distributed processing frameworks.
Strong understanding of an ML-based product lifecycle.
Ability to communicate effectively and collaborate with partner teams, particularly ML research scientists and engineers.
Ability to solve everyday problems in innovative ways.
Committed to encouraging an open and inclusive work environment.
Preferred Qualifications
Working knowledge of modern database and distributed data processing technologies/frameworks (e.g., Spark, Dask, Ray, Presto, Parquet, Flink, Druid, Airflow, PostgreSQL).
Experience with Python package management and build/deployment tooling (e.g., uv, poetry, hatch).
Experience optimizing models and algorithms to run efficiently on resource-constrained platforms.
Knowledge of cloud platforms and container orchestration technologies (e.g., Kubernetes, Docker, AWS, GCP).
Familiarity with iOS ecosystem including the Swift programming language.
Familiarity with model architectures and various training techniques, particularly in the Computer Vision domain.
Familiarity with modern camera ISP and digital image processing algorithms and models.
Knowledge and keen interest in learning the art and science of photography.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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