Machine Learning Engineer Jobs in Seattle, WA
Machine Learning Engineer jobs in Seattle, Washington concentrate in South Lake Union, the Eastside corridor near Bellevue, and the University District, across cloud technology, e-commerce, and life sciences. Employers hiring right now include TikTok, Apple, and ByteDance. 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.
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Find JobsMachine Learning Engineer Job Market in Seattle
Who's Hiring
- TikTok42

- Apple33

- ByteDance14

- Atlassian11

- Amazon9

Top Industries Hiring
- Technology & Software32
- Electronics & Hardware19
- Insurance5
- Retail4
- Banking & Financial Services4
Machine Learning Engineer Jobs in Seattle: Frequently Asked Questions
How do I get a machine learning engineer job in Seattle?
Seattle's machine learning engineer market centers on cloud infrastructure, e-commerce platforms, and biotech, so candidates who can demonstrate experience with large-scale data pipelines or deep learning frameworks stand out. Roles cluster in South Lake Union and on the Eastside, where major tech campuses dominate. Contributions to open-source projects, a strong GitHub portfolio, and familiarity with distributed systems give candidates a concrete edge with Seattle hiring teams.
Which companies hire machine learning engineers in Seattle?
Seattle machine learning engineer roles are posted by TikTok, Apple, and ByteDance and others right now, based on current listings on Migrate Mate as of September 2026. Seattle attracts a wide range of employer types, from global tech giants and cloud platform companies to fast-growing health-tech and autonomous systems startups concentrated across South Lake Union and the greater Puget Sound region.
Are there remote machine learning engineer jobs in Seattle?
Yes, machine learning engineer work is well-suited to remote and hybrid arrangements given its heavily computational and code-driven nature. About 44% of machine learning engineer openings tied to Seattle are remote or hybrid as of September 2026, reflecting how broadly tech employers here have adopted flexible work. Roles focused on model development, experimentation, and research tend to be the most remote-friendly, while positions requiring close collaboration with hardware or on-site infrastructure lean toward hybrid.
How can I get a machine learning engineer job in Seattle with little or no experience?
The most realistic entry path in Seattle is targeting junior or associate machine learning engineer roles at mid-size tech companies and research-driven startups, which tend to be more willing to develop talent than large enterprise teams. The University of Washington and local bootcamps supply a pipeline that Seattle employers recognize, so capstone projects and research assistantships carry real weight. Lateral moves from data analyst or software engineer roles into ML-adjacent positions are also a common local on-ramp.
Which industries hire the most machine learning engineers in Seattle?
Seattle machine learning engineer roles concentrate in Technology & Software, Electronics & Hardware, and Insurance, based on current listings on Migrate Mate as of September 2026. Seattle's dominance in cloud computing and e-commerce creates sustained demand for ML talent, while the city's growing life sciences and autonomous technology sectors add additional hiring across research and applied engineering functions.
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