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Ml Infrastructure Jobs in Bothell, WA (NOW HIRING)

Maxana

Infrastructure Engineer

Seattle, WA

$130K - $240K/yr

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 ...

Maxana

Infrastructure Engineer

Seattle, WA · On-site

$130K - $240K/yr

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 ...

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Ml Infrastructure information

See Bothell, WA salary details

$52K

$142K

$203.5K

How much do ml infrastructure jobs pay per year?

As of Jun 23, 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 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 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 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 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 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:
Ml Infrastructure jobs near you
Infographic showing various Ml Infrastructure job openings in Bothell, WA as of June 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 86% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $142,046 per year, or $68.3 per hour.
Principal Technical Infrastructure Program Manager, AI/ML Infrastructure Strategy, ML Capacity De...

Principal Technical Infrastructure Program Manager, AI/ML Infrastructure Strategy, ML Capacity De...

Amazon

Seattle, WA • On-site

Full-time

Posted 22 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,874 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

As part of our Data Center Planning & Delivery organization, we plan and build the physical infrastructure that powers AWS's rapidly growing AI and Machine Learning services.
We are seeking a Principal Technical Infrastructure Program Manager to own global AI/ML infrastructure strategy and capacity planning. In this role, you will manage significantly complex cross-functional workstreams across both short-term and long-term planning horizons, serving as the nexus between data center planning, server hardware innovation, network architecture, and customer-driven demand.
You will guide the strategic deployment and optimization of AI/ML infrastructure across a rapidly expanding global footprint. This includes engaging with demand planning processes, maintaining power and network supply inventory, and tradeoffs to meet evolving customer needs

AWS's AI/ML infrastructure is experiencing exponential growth, and this role is central to enabling that scale.
The ideal candidate combines deep technical understanding of data center infrastructure with strong cross-functional program management skills. You will drive clarity through ambiguity, advise senior leadership, and make high-judgment decisions that directly impact multiple organizations and customers. You must be comfortable working on strategy that is not yet defined, building scalable mechanisms from scratch, and influencing without direct authority across a large, matrixed organization.
If you thrive at the intersection of massive-scale infrastructure and AI technology, and you want to shape how the world's largest cloud builds for the AI era, this role is for you.
Key job responsibilities
Drive the global AI/ML server placement strategy, considering data center attributes (power, networking, cooling, structural requirements) and customer demand to optimally position servers across regions
Lead deployment planning for specialized high-performance network fabrics required by AI training workloads, working with networking teams on fabric sizing, multi-site cluster architectures, and regional deployment plans
Build and maintain capacity planning tools that serve as the single source of truth for AI/ML infrastructure deployments globally, integrating multiple data sources with complex analytical logic
Influence infrastructure tooling roadmaps to incorporate AI-specific capabilities for end-to-end demand planning, supply planning, build planning, and execution
Translate product roadmaps and customer commitments into concrete deployment plans across multiple server types with varying power, cooling, and networking requirements
Guide liquid cooling infrastructure planning for next-generation GPU platforms, coordinating with design engineering and hardware teams
Establish and lead cross-functional planning forums bringing together product, capacity, networking, supply chain, and infrastructure stakeholders for strategic alignment
Ensure healthy balance of regional capacity across different workload types; facilitate leadership reviews when tradeoffs are required
Provide inputs for long-term financial planning, budgeting, and resource allocation through annual planning cycles
Mentor and develop regional planning leads globally; share best practices and lessons learned through knowledge-sharing forums
Communicate strategic recommendations clearly to senior leadership through well-structured, data-driven proposals

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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