ML Software Engineer Jobs in Washington
ML Software Engineer jobs in Washington are concentrated in cloud computing, autonomous systems, and enterprise software, with the state holding one of the most active markets for this role in the country. Seattle and Bellevue anchor the bulk of openings, with Redmond also drawing consistent demand from large campus operations. Microsoft, Amazon, and Google are among the largest and most established employers hiring ml software engineers here. Specialties in large language models, computer vision, and recommendation systems are particularly sought after. See the openings below and apply to the ones that match your experience.
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Showing 5 of 25+ ML Software Engineer jobs
Apple Service Engineering is seeking an exceptional Senior Software Release Engineer to take on a high visibility, high impact role at the center of our next-generation datacenter and Private Cloud Compute initiatives. This is a role for a senior engineer who wants to define how world-class distributed systems are tested, validated, and scaled at one of the most ambitious infrastructure efforts in the industry.
You will be a technical leader and key contributor to the foundation of Apple's future cloud architecture, working directly with the systems that power Apple Intelligence and Private Cloud Compute. You will drive critical testing and validation initiatives across highly performant, energy efficient platforms built on Apple Silicon, and will play a central role in ensuring the quality, reliability, and scalability of next-generation datacenter technology that reaches hundreds of millions of people.
Description
As a Senior Software Release Engineer on the Private Cloud Compute team, you will be responsible for driving the test strategy, automation infrastructure, and validation frameworks that underpin some of Apple's most critical and technically complex distributed systems. You will operate at the intersection of hardware and software, working across the full stack to ensure that next-generation datacenter technology is performant, reliable, and ready to scale.
You will be expected to bring senior-level technical leadership to every initiative you own, from defining test architecture to driving resolution of the most complex system-level issues. You will collaborate directly with hardware and platform teams to validate novel compute platforms before they reach production and will build the tooling and automation infrastructure that enables the broader engineering organization to move with speed and confidence.
In this highly collaborative and cross-functional role, you will partner with architecture teams, SOC architects, platform engineers, and software teams across Apple to adapt, validate, and scale software on novel compute platforms. If you are a senior engineer who thrives on solving hard problems, owning critical initiatives end-to-end, and building systems that have never been built before, this is the role for you.","responsibilities":"Responsible for daily build qualification and recommendations to staging and production
Own the build pipeline for LLM on Private Cloud Compute
Manage model weights across OS release trains and faster server-side model updates
Automate staged rollouts across OS releases and Private Cloud Compute releases
Partner with Foundation Models, AIML, evals, privacy, security, and OS release teams on major launches
Lead incident response and postmortems for inference release issues
Preferred Qualifications
Experience validating ML or LLM workloads running on hardware accelerators such as GPUs, NPUs, or Apple Silicon in a cloud or datacenter environment.
Familiarity with Apple development tools, Swift, or Objective-C.
Experience building test infrastructure for systems at the hardware-software boundary, including firmware, drivers, or low-level platform software.
Knowledge of energy efficiency and performance profiling techniques for high performance computing workloads.
Experience contributing to or defining test strategy at an organizational level, not just within a single team or product area.
Prior experience working in a private cloud, hyperscale datacenter, or edge compute environment.
Minimum Qualifications
10 or more years in release engineering, build infrastructure and production releases
BS in Computer Science or equivalent experience. MS or PhD a plus.
Expertise with large-scale build systems and C++/Swift/Python toolchains
CI/CD at scale with sharp judgment on cost, cache, and flake reduction
Track record shipping on tight, non-negotiable deadlines tied to OS or hardware launches
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,000 and $308,500, 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 voluntarily participating 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, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple Service Engineering is seeking an exceptional Senior Software Release Engineer to take on a high visibility, high impact role at the center of our next-generation datacenter and Private Cloud Compute initiatives. This is a role for a senior engineer who wants to define how world-class distributed systems are tested, validated, and scaled at one of the most ambitious infrastructure efforts in the industry.
You will be a technical leader and key contributor to the foundation of Apple's future cloud architecture, working directly with the systems that power Apple Intelligence and Private Cloud Compute. You will drive critical testing and validation initiatives across highly performant, energy efficient platforms built on Apple Silicon, and will play a central role in ensuring the quality, reliability, and scalability of next-generation datacenter technology that reaches hundreds of millions of people.
Description
As a Senior Software Release Engineer on the Private Cloud Compute team, you will be responsible for driving the test strategy, automation infrastructure, and validation frameworks that underpin some of Apple's most critical and technically complex distributed systems. You will operate at the intersection of hardware and software, working across the full stack to ensure that next-generation datacenter technology is performant, reliable, and ready to scale.
You will be expected to bring senior-level technical leadership to every initiative you own, from defining test architecture to driving resolution of the most complex system-level issues. You will collaborate directly with hardware and platform teams to validate novel compute platforms before they reach production and will build the tooling and automation infrastructure that enables the broader engineering organization to move with speed and confidence.
In this highly collaborative and cross-functional role, you will partner with architecture teams, SOC architects, platform engineers, and software teams across Apple to adapt, validate, and scale software on novel compute platforms. If you are a senior engineer who thrives on solving hard problems, owning critical initiatives end-to-end, and building systems that have never been built before, this is the role for you.","responsibilities":"Responsible for daily build qualification and recommendations to staging and production
Own the build pipeline for LLM on Private Cloud Compute
Manage model weights across OS release trains and faster server-side model updates
Automate staged rollouts across OS releases and Private Cloud Compute releases
Partner with Foundation Models, AIML, evals, privacy, security, and OS release teams on major launches
Lead incident response and postmortems for inference release issues
Preferred Qualifications
Experience validating ML or LLM workloads running on hardware accelerators such as GPUs, NPUs, or Apple Silicon in a cloud or datacenter environment.
Familiarity with Apple development tools, Swift, or Objective-C.
Experience building test infrastructure for systems at the hardware-software boundary, including firmware, drivers, or low-level platform software.
Knowledge of energy efficiency and performance profiling techniques for high performance computing workloads.
Experience contributing to or defining test strategy at an organizational level, not just within a single team or product area.
Prior experience working in a private cloud, hyperscale datacenter, or edge compute environment.
Minimum Qualifications
10 or more years in release engineering, build infrastructure and production releases
BS in Computer Science or equivalent experience. MS or PhD a plus.
Expertise with large-scale build systems and C++/Swift/Python toolchains
CI/CD at scale with sharp judgment on cost, cache, and flake reduction
Track record shipping on tight, non-negotiable deadlines tied to OS or hardware launches
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,000 and $308,500, 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 voluntarily participating 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, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
See All 25 ML Software Engineer Jobs in Washington
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Find ML Software Engineer JobsML Software Engineer Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
ML Software Engineer Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Automotive
- Manufacturing
- Artificial Intelligence
- Banking & Financial Services
What Washington Employers Look For
The qualifications that appear most often in ML software engineer jobs across Washington.
- Bachelor's or master's degree in computer science, machine learning, or a related field
- Proficiency in Python and familiarity with frameworks such as TensorFlow or PyTorch
- Experience designing, training, and deploying machine learning models in production environments
- Strong grasp of statistics, linear algebra, and applied mathematics for model development
- Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud
- Ability to collaborate with cross-functional teams on data pipelines and model integration
ML Software Engineer Jobs in Washington: Frequently Asked Questions
How do you become a ml software engineer in Washington?
There is no state-issued license required to work as an ml software engineer in Washington. The standard path is a bachelor's or master's degree in computer science, machine learning, or a closely related discipline, followed by demonstrated project or research experience. Washington employers consistently weight portfolios, GitHub repositories, and internship experience heavily during hiring, and many candidates enter through university programs at the University of Washington or Washington State University before joining industry teams.
How much do ML software engineers make in Washington?
ML software engineers in Washington earn a median of about $166,540 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $96,810 for the lowest 10% to over $255,350 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ml software engineers in Washington?
Washington ml software engineer roles are posted by Meta, Apple, and Amazon Web Services and others right now, based on current listings on Migrate Mate as of August 2026. Washington's dense concentration of major tech headquarters and cloud infrastructure operations means that openings appear across both large platform companies and mid-size software firms with established Seattle or Bellevue offices.
Which Washington cities have the most ml software engineer jobs?
Seattle, Bellevue, and Redmond have the most ml software engineer openings in Washington. Seattle drives the largest share due to its concentration of major tech headquarters and cloud divisions, while Bellevue and Redmond draw consistent demand from the large campus operations of companies that have made the Eastside their home base.
Are there remote ml software engineer jobs in Washington?
Yes, and more than most fields. About 33% of ml software engineer openings tied to Washington are remote or hybrid as of August 2026, reflecting how well-suited the work is for distributed teams. Research, modeling, and experimentation roles are the most commonly offered as fully remote, while roles tied to real-time infrastructure or on-site data systems tend to require at least partial in-person presence.
How can I get hired as a ml software engineer in Washington with little or no experience?
The most realistic entry path is a university research or internship role that leads directly into a new-graduate position. Amazon, Microsoft, and Google each run structured new-graduate and rotational programs out of their Washington offices that are specifically designed for candidates without full-time industry experience. Adjacent roles such as data analyst or software development engineer also serve as common stepping stones. A strong portfolio of independent or academic projects, particularly in areas like natural language processing or computer vision, meaningfully improves a candidate's standing.
Where can I find and apply to ml software engineer jobs in Washington?
You can find and apply to ml software engineer jobs in Washington on Migrate Mate, which lists current Washington openings. Search for roles that fit your experience level and specialization, then apply directly to the ones that match.
See All 25 ML Software Engineer Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
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