Machine Learning Engineer Jobs in Washington
Machine Learning Engineer jobs in Washington are among the most active in the country, concentrated in software, cloud infrastructure, autonomous systems, and healthcare technology, with openings at every level from junior ML engineer through principal and staff roles. Seattle and the Eastside corridor anchoring Bellevue and Redmond drive the bulk of hiring, with Spokane emerging as a secondary hub, and employers like Microsoft, Amazon, and Boeing maintain large, sustained ML engineering teams across the state. The most in-demand specialties are large language model development, computer vision, and MLOps and model deployment. Find a role that fits below and apply directly.
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Showing 5 of 203+ Machine Learning Engineer jobs
Operating across key business areas like grocery and food, the Consumer Incentives team drives Uber's growth and long-term profitability. We build products that power seamless, affordable, and enjoyable customer experiences by building sophisticated distributed systems and AI-powered optimizations to scale products for hundreds of millions of global users.
What you'll do
In this role, you will build products powered by scalable distributed systems and advanced AI solutions. Your work will optimize user experiences across multiple verticals, such as grocery and food, while fostering sustainable business growth. Key responsibilities include:
- Architecting and launching products to power key consumer experience and business outcomes.
- Overseeing full project lifecycles spanning initial scoping, offline evaluation, experimental testing, production deployment, and post-launch maintenance.
- Designing, tuning, and enhancing systems and algorithms to operate at scale.
- Partnering with cross-functional stakeholders across product management, operations, and data science.
- Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics or related field, with 4+ years of full-time engineering experience.
- Proficiency in at least one programming language such as Python, Go, or Java
- Experience in building and productionizing innovative end-to-end ML systems.
- Strong communication skills and ability to work effectively with cross-functional partners
- Strong sense of ownership to drive projects end-to-end
- Track record of designing and delivering large-scale consumer products
- Demonstrated leadership skills, with experience in mentoring and guiding junior engineers. Proven experience in experimental design and causal inference
For New York City, NY-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.
For Seattle, WA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.
Ready to Ride?
This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.
You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.
Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.
Operating across key business areas like grocery and food, the Consumer Incentives team drives Uber's growth and long-term profitability. We build products that power seamless, affordable, and enjoyable customer experiences by building sophisticated distributed systems and AI-powered optimizations to scale products for hundreds of millions of global users.
What you'll do
In this role, you will build products powered by scalable distributed systems and advanced AI solutions. Your work will optimize user experiences across multiple verticals, such as grocery and food, while fostering sustainable business growth. Key responsibilities include:
- Architecting and launching products to power key consumer experience and business outcomes.
- Overseeing full project lifecycles spanning initial scoping, offline evaluation, experimental testing, production deployment, and post-launch maintenance.
- Designing, tuning, and enhancing systems and algorithms to operate at scale.
- Partnering with cross-functional stakeholders across product management, operations, and data science.
- Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics or related field, with 4+ years of full-time engineering experience.
- Proficiency in at least one programming language such as Python, Go, or Java
- Experience in building and productionizing innovative end-to-end ML systems.
- Strong communication skills and ability to work effectively with cross-functional partners
- Strong sense of ownership to drive projects end-to-end
- Track record of designing and delivering large-scale consumer products
- Demonstrated leadership skills, with experience in mentoring and guiding junior engineers. Proven experience in experimental design and causal inference
For New York City, NY-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.
For Seattle, WA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.
Ready to Ride?
This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.
You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.
Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.
See All 203+ Machine Learning Engineer Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find JobsMachine Learning Engineer Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
Machine Learning Engineer Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
- TikTok37
- Apple28
- Meta14
- ByteDance12
- Amazon10
Top Industries Hiring
- Technology & Software31
- Electronics & Hardware16
- Insurance4
- Retail3
- Automotive3
What Washington Employers Look For
The qualifications that appear most often in machine learning engineer jobs across Washington.
- Bachelor's or master's degree in computer science, statistics, or a closely related technical field
- Proficiency in Python and hands-on experience with ML frameworks such as TensorFlow or PyTorch
- Experience designing, training, and deploying machine learning models in production environments
- Familiarity with cloud platforms, particularly Azure or AWS, for scalable ML infrastructure
- Strong foundation in statistics, linear algebra, and probability as applied to model development
- Ability to communicate model results and limitations clearly to non-technical stakeholders
Machine Learning Engineer Jobs in Washington: Frequently Asked Questions
How do you become a machine learning engineer in Washington?
Machine learning engineering has no state-issued license in Washington, so the path runs through education and demonstrated technical skill. Most Washington employers expect at minimum a bachelor's degree in computer science, mathematics, or a related field, though master's degrees are common at larger tech firms. Building a portfolio of end-to-end ML projects, contributing to open-source repositories, and earning cloud certifications recognized by major Washington employers strengthens a candidate's profile considerably.
How much do machine learning engineers make in Washington?
Machine learning 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 machine learning engineers in Washington?
Employers hiring machine learning engineers in Washington right now include TikTok, Apple, and Meta, based on current listings on Migrate Mate as of September 2026. Washington's concentration of major cloud and enterprise technology headquarters means demand is consistent year-round rather than tied to seasonal hiring cycles.
Which Washington cities have the most machine learning engineer jobs?
Seattle, Bellevue, and Redmond have the most machine learning engineer openings in Washington. Seattle's density of cloud, enterprise software, and health technology companies anchors the majority of listings, while the Eastside cities of Bellevue and Redmond reflect the campuses of Microsoft and related technology partners, and Spokane's growing healthcare and university-affiliated research sector accounts for its presence on the list.
Are there remote machine learning engineer jobs in Washington?
Yes, and more than most fields. About 45% of machine learning engineer openings tied to Washington are remote or hybrid as of September 2026, reflecting how thoroughly the work is performed on laptops and cloud infrastructure rather than on physical premises. Model research, experimentation, and pipeline development are the functions most commonly offered as fully remote arrangements.
How can I get hired as a machine learning engineer in Washington with little or no experience?
The most realistic entry path is a combination of a relevant degree and a strong project portfolio, since Washington employers regularly hire new graduates into associate or junior ML engineer roles when candidates can show working models and clean code. Microsoft and Amazon both run structured new-graduate programs that place candidates into ML teams, and applied scientist or data analyst roles at mid-size Washington technology and health-tech firms often serve as lateral entry points that transition into ML engineering within one to two years.
Where can I find and apply to machine learning engineer jobs in Washington?
You can find and apply to machine learning engineer jobs in Washington on Migrate Mate, which lists current Washington openings updated on an ongoing basis. Find the roles that fit your experience and specialization and apply directly to each one.
See All 203+ Machine Learning Engineer Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
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