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Ml Infrastructure Jobs in Bothell, WA (NOW HIRING)

Senior ML Ops Engineer

Seattle, WA · On-site

$123K - $170K/yr

... infrastructure, and AI-powered innovation. What You Will Do: · Design, build, and maintain ... ML deployment pipelines, ensuring reliable, reproducible, and efficient model delivery to ...

Architect and own large-scale ML infrastructure systems, including distributed training frameworks, model serving platforms, and feature computation pipelines that support production workloads across ...

Infrastructure Engineer

Seattle, WA · On-site

$130K - $225K/yr

Familiarity with experiment tracking, ML infrastructure, or data visualization tooling * Experience integrating hardware or embedded systems * Experience deploying or supporting wireless/WAN ...

... ML infrastructure that power our vision. You will tackle complex and ambiguous problems, designing and delivering scalable and resilient ML platform solutions from the ground up. You will not only ...

... ML infrastructure that power our vision. You will tackle complex and ambiguous problems, designing and delivering scalable and resilient ML platform solutions from the ground up. You will not only ...

... ML infrastructure that power our vision. You will tackle complex and ambiguous problems, designing and delivering scalable and resilient ML platform solutions from the ground up. You will not only ...

... ML infrastructure that power our vision. You will tackle complex and ambiguous problems, designing and delivering scalable and resilient ML platform solutions from the ground up. You will not only ...

Data Center Compute Infrastructure

Seattle, WA · On-site +1

$230K - $490K/yr

Depending on your background, you may work on large-scale distributed systems, ML infrastructure, hardware systems, manufacturing, supply chain, data center development, or the physical engineering ...

You will be a technical leader helping to design and build the ML infrastructure that power our vision. You will tackle complex and ambiguous problems, designing and delivering scalable and resilient ...

You will be a technical leader helping to design and build the ML infrastructure that power our vision. You will tackle complex and ambiguous problems, designing and delivering scalable and resilient ...

Showing results 21-40

Ml Infrastructure information

See Bothell, WA salary details

$52K

$142K

$203.5K

How much do ml infrastructure jobs pay per year?

As of Aug 21, 2026, the average yearly pay for ml infrastructure in Bothell, WA is $142,046.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,200.00 and $157,600.00 per year, depending on experience, location, and employer.

What is ML infrastructure?

ML Infrastructure refers to the underlying systems, tools, and processes that enable the development, deployment, and scaling of machine learning models. This includes data storage and management, computing resources, model training and serving environments, monitoring, and automation tools. ML Infrastructure ensures that data scientists and engineers can efficiently build, test, and maintain machine learning applications in a reliable and reproducible manner. It is a crucial foundation for organizations looking to operationalize AI and machine learning solutions at scale.

What are some common challenges faced by professionals working in ML infrastructure roles?

Professionals in ML Infrastructure often encounter challenges related to scaling systems to handle large volumes of data, ensuring reliable deployment pipelines, and maintaining reproducibility across different environments. They must also collaborate closely with data scientists and engineers to streamline workflows and address issues like version control and model monitoring. Staying updated with rapidly evolving tools and best practices is essential, and balancing stability with innovation is a frequent aspect of the role.

What are the key skills and qualifications needed to thrive as an ML infrastructure engineer, and why are they important?

To thrive as an ML Infrastructure Engineer, you need a strong background in software engineering, cloud computing, and machine learning concepts, often supported by a degree in computer science or a related field. Proficiency with containerization tools (like Docker and Kubernetes), cloud platforms (such as AWS, GCP, or Azure), and CI/CD systems is critical. Excellent problem-solving, collaboration, and communication skills help you efficiently work with data scientists and DevOps teams. These skills and qualities are vital for building scalable, reliable ML systems that support rapid experimentation and deployment in production environments.

What is the difference between Ml Infrastructure vs Data Engineer?

AspectML InfrastructureData Engineer
Required CredentialsBachelor's in CS, Data Science, or related; knowledge of cloud platformsBachelor's in CS, Software Engineering, or related; experience with databases and ETL tools
Work EnvironmentFocus on deploying and maintaining ML systems, cloud environments, and infrastructure toolsDesigning, building, and managing data pipelines and storage solutions
Industry UsageUsed in AI/ML teams to support model deployment and scalabilityUsed across data-driven organizations for data management and analytics

ML Infrastructure specialists focus on deploying, scaling, and maintaining machine learning systems and infrastructure, while Data Engineers primarily build and manage data pipelines and storage solutions. Both roles require technical skills and often collaborate, but their core responsibilities differ in focus and tools used.

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

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

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

The top searched job categories for Ml Infrastructure jobs in Bothell, WA are:

What cities near Bothell, WA are hiring for Ml Infrastructure jobs?

Cities near Bothell, WA with the most Ml Infrastructure job openings:

Infographic showing various Ml Infrastructure job openings in Bothell, WA as of August 2026, with employment types broken down into 83% Full Time, 12% Part Time, and 5% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $142,046 per year, or $68.3 per hour.

Senior ML Infrastructure Engineer, Proactive

Apple Inc.

Seattle, WA • On-site

$184.70 - $324.80/hr

Other

Medical, Dental, Retirement

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


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

Cupertino, California, United States Machine Learning and AI

The Intelligence Platform team empowers clients across Apple’s operating systems with high quality user-centric knowledge and inferences that enable next generation user experiences. We’re a systems engineering team focused on building the platform which enables state of the art technologies like generative AI, graph machine learning, and private learning to be used by hundreds of teams across Apple. This platform plays a critical role in the OS, acting as a central nervous system that is responsible for receiving, processing, responding to, and remembering crucial information. We are looking for an accomplished and driven senior software engineer with a background in designing large systems around Machine Learning, Large Language Models, and Generative AI. Your primary role will be designing and building the platform for teams across Apple used to bring intelligence to their applications and services. Your ideas will power next generation features, and impact hundreds of millions of people worldwide in their daily lives!

Description

As a Senior Engineer on the Intelligence Platform Team, you’ll join a phenomenal team of hardworking engineers and will be entrusted with a range of responsibilities. Your work will include:

  • Collaborating with teams across Apple on training, qualifying, deploying, and serving models
  • Designing and refining systems and APIs for Machine Learning and Generative AI
  • Understanding and adapting new model architectures to constraints of their execution environments
  • Working with leadership across Apple to define policy

You will be responsible for bringing industry leading research to hundreds of millions of people using Apple products every day.

Minimum Qualifications
  • Excellent software design, problem solving and debugging skills
  • Background architecting and building data or machine learning platforms
  • Experience building on LLMs or other generative models
  • Proven ability to comprehend, interpret, and apply cutting‑edge research into tangible applications
  • Deep understanding of multi‑threaded programming and synchronization
Preferred Qualifications
  • Experience building production feature engineering pipelines
  • Experience with distributed data systems
  • Experience with macOS/iOS development

At Apple, base pay is one part of our total compensation package and is determined within a range. The base pay range for this role is between $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards and can purchase Apple stock at a discount if they voluntarily participate in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including:

  • Comprehensive medical and dental coverage
  • Retirement benefits
  • A range of discounted products and free services
  • Reimbursement for certain educational expenses, including tuition
  • Discretionary bonuses or commission payments
  • Relocation assistance

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Learn about accessibility in Apple’s workplace. Learn about reasonable accommodations for job applicants.

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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