ML Engineer Jobs in Washington
ML Engineer jobs in Washington are among the most active in the country, concentrated in cloud infrastructure, natural language processing, and autonomous systems, with openings from entry-level ML roles through principal and staff engineer positions. Seattle and Bellevue account for the largest share of hiring, with Redmond and Kirkland close behind, anchored by employers like Microsoft, Amazon, and Apple. Demand is especially strong in recommendation systems, large language model fine-tuning, and MLOps. Find a role that fits below and apply directly.
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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+ ML Engineer Jobs in Washington
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Find ML Engineer JobsML Engineer Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
ML 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 ML engineer jobs across Washington.
- Bachelor's or master's degree in computer science, statistics, or a related quantitative field
- Proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch
- Experience designing and deploying models in cloud environments, particularly Azure or AWS
- Familiarity with MLOps practices including model monitoring, versioning, and CI/CD pipelines
- Strong foundation in statistics, linear algebra, and applied mathematics
- Experience with large-scale distributed data systems and feature engineering at production scale
ML Engineer Jobs in Washington: Frequently Asked Questions
How do you become a ml engineer in Washington?
Most ml engineer roles in Washington require a bachelor's degree in computer science, mathematics, or a closely related field, though many employers prefer or require a master's degree for senior positions. Washington has no state-issued license for ml engineers. The most reliable path into the field involves building a portfolio of end-to-end projects, contributing to open-source work, and targeting the associate or new-grad programs that large Washington-based tech employers run each year.
Which companies hire ml engineers in Washington?
Employers hiring ml engineers in Washington right now include TikTok, Apple, and Meta, based on current listings on Migrate Mate as of September 2026. Washington's density of cloud and enterprise software headquarters means the hiring pool is unusually deep, with both large tech companies and a growing layer of AI-focused startups maintaining consistent demand.
Which Washington cities have the most ml engineer jobs?
Seattle, Bellevue, and Redmond have the most ml engineer openings in Washington. Seattle drives the majority of listings given the headquarters presence of Amazon and the large Microsoft campus nearby in Redmond and Bellevue, while Kirkland has added volume through Google's growing engineering offices and a cluster of AI startups in the greater Eastside corridor.
Are there remote ml engineer jobs in Washington?
Yes, and more than most fields. About 45% of ml engineer openings tied to Washington are remote or hybrid as of September 2026, reflecting how much of the work involves writing, training, and evaluating models rather than on-site operations. Research-oriented and MLOps roles tend to be the most fully remote, while positions requiring close collaboration with hardware or product teams are more likely to require on-site presence.
How can I get hired as a ml engineer in Washington with little or no experience?
The most realistic entry path is a strong project portfolio combined with targeting new-grad or associate ML engineer programs at Washington's large tech employers, where Microsoft, Amazon, and Apple all run structured new-graduate pipelines. Candidates coming from data analyst, data engineer, or software developer roles have a natural on-ramp, since those titles build the Python, SQL, and systems skills that hiring managers look for first. A completed Kaggle competition or a publicly available model deployment carries real weight when experience is limited.
Where can I find and apply to ml engineer jobs in Washington?
You can find and apply to ml engineer jobs in Washington on Migrate Mate, which lists current Washington openings across the state. Find roles that fit your background and apply directly to the ones that match.
See All 203+ ML Engineer Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find ML Engineer Jobs