Machine Learning Jobs in Washington
Machine learning jobs in Washington are among the most active in the country, concentrated in cloud infrastructure, autonomous systems, natural language processing, and applied AI research, with openings at every level from junior ML engineer through principal research scientist. Seattle anchors the market, while Redmond and Bellevue absorb a significant share of demand, driven by the long-term presence of employers like Microsoft, Amazon, and Boeing. The most in-demand specializations include large language model fine-tuning, MLOps and model deployment, and computer vision. Find a role that fits below and apply directly.
Find Machine Learning JobsOverview
Showing 5 of 219+ Machine Learning 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 219+ Machine Learning Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find Machine Learning JobsMachine Learning Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
Machine Learning Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
- TikTok38
- Apple30
- Meta17
- ByteDance13
- Amazon12
Top Industries Hiring
- Technology & Software30
- Electronics & Hardware18
- Insurance4
- Retail3
- Automotive3
What Washington Employers Look For
The qualifications that appear most often in machine learning jobs across Washington.
- Bachelor's or master's degree in computer science, mathematics, or a related quantitative field
- Proficiency in Python and core ML frameworks such as TensorFlow, PyTorch, or JAX
- Hands-on experience designing, training, and evaluating machine learning models at scale
- Familiarity with cloud ML platforms, particularly Azure, AWS SageMaker, or Google Vertex AI
- Ability to communicate model performance, limitations, and trade-offs to non-technical stakeholders
- Experience with MLOps practices including model versioning, CI/CD pipelines, and production monitoring
Machine Learning Jobs in Washington: Frequently Asked Questions
How do you become a machine learning engineer in Washington?
Machine learning roles in Washington require no state-issued license or registration. Employers typically expect a bachelor's degree in computer science, statistics, or a related quantitative field, with a master's degree preferred for research-oriented positions. Building a public portfolio on GitHub that demonstrates end-to-end project work, contributing to open-source ML projects, and completing recognized certifications in cloud ML platforms strengthens candidacy in Washington's competitive hiring market.
Which companies hire machine learning engineers in Washington?
Employers hiring machine learnings in Washington right now include TikTok, Apple, and Meta, based on current listings on Migrate Mate as of September 2026. Washington's concentration of large technology headquarters and cloud platform divisions means many of these roles sit within product, research, or platform engineering teams rather than standalone AI groups.
Which Washington cities have the most machine learning jobs?
Seattle, Bellevue, and Redmond account for the largest share of machine learning openings in Washington. Seattle's density of technology headquarters and venture-backed AI startups drives most of the volume, while Redmond and Bellevue absorb high demand from large campus-based employers whose engineering and research divisions are concentrated on the Eastside.
Are there remote machine learning jobs in Washington?
Yes, and more than most fields. About 48% of machine learning openings tied to Washington are remote or hybrid as of September 2026, reflecting how much of the work involves writing code, running experiments, and reviewing model outputs rather than being physically on-site. Research and MLOps roles tend to be the most consistently remote, while positions requiring collaboration on proprietary hardware or data center access are more likely to require in-person work.
How can I get hired as a machine learning engineer in Washington with little or no experience?
The most realistic entry path is a university new-graduate program at a large Washington technology employer. Microsoft and Amazon both run structured new-grad and rotational engineering programs that place candidates with strong academic projects into applied ML teams. Building a portfolio that demonstrates a complete model pipeline, from data preparation through evaluation and deployment, and targeting associate data scientist or ML engineer titles as lateral entry points from software engineering or data analytics roles gives candidates a concrete edge.
Where can I find and apply to machine learning jobs in Washington?
You can find and apply to machine learning jobs in Washington on Migrate Mate, which lists current Washington openings. Find roles that fit your experience and specialization and apply directly to the ones that match.
See All 219+ Machine Learning Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find Machine Learning Jobs