Machine Learning Intern Jobs in Washington
Machine Learning Intern jobs in Washington rank among the most active in the country, concentrated in cloud computing, autonomous systems, and biomedical AI across a tech ecosystem unlike any other state. Seattle dominates hiring, with Redmond and Bellevue close behind, where employers like Microsoft, Amazon, and the Allen Institute for AI routinely bring on machine learning interns across natural language processing, computer vision, and reinforcement learning. Scan the live roles below and apply to whichever ones fit.
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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 172+ Machine Learning Intern Jobs in Washington
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Find Machine Learning Intern JobsMachine Learning Intern Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
Machine Learning Intern Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
- TikTok36
- Apple23
- ByteDance11
- Meta9
- Atlassian9
Top Industries Hiring
- Technology & Software27
- Electronics & Hardware13
- Insurance4
- Banking & Financial Services4
- Retail3
What Washington Employers Look For
The qualifications that appear most often in machine learning intern jobs across Washington.
- Pursuing a bachelor's or master's degree in computer science, statistics, or a related field
- Hands-on experience with Python and machine learning frameworks such as PyTorch or TensorFlow
- Familiarity with supervised and unsupervised learning methods and model evaluation techniques
- Experience working with large datasets and tools like SQL, Spark, or cloud data platforms
- Strong mathematical foundation in linear algebra, probability, and calculus
- Ability to communicate findings clearly to both technical and non-technical stakeholders
Machine Learning Intern Jobs in Washington: Frequently Asked Questions
How do you become a machine learning intern in Washington?
Machine learning internships in Washington require no state license or registration. Most positions are open to students enrolled in a computer science, data science, or applied mathematics program at a Washington university such as the University of Washington, Washington State University, or Seattle University. Competitive candidates build practical projects, contribute to open-source repositories, and seek out research opportunities through university labs or industry partnerships before applying.
Which companies hire machine learning interns in Washington?
Employers hiring machine learning interns in Washington right now include TikTok, Apple, and ByteDance, based on current listings on Migrate Mate as of September 2026. Washington's density of cloud, defense, and life sciences employers means intern programs here often involve production-scale systems and real research impact rather than purely academic exercises.
Which Washington cities have the most machine learning intern jobs?
Seattle, Bellevue, and Redmond have the most machine learning intern openings in Washington. Seattle anchors the market through its concentration of major tech headquarters and AI research labs, while Redmond and Bellevue draw interns to cloud infrastructure and productivity software teams, and smaller hubs like Kirkland and Bothell reflect the broader eastside tech corridor that has grown around those anchor employers.
Are there remote machine learning intern jobs in Washington?
Yes, and more than most fields. About 41% of machine learning intern openings tied to Washington are remote or hybrid as of September 2026, reflecting how much of this work involves coding, model training, and data analysis that translates well to distributed settings. Roles focused on research, data pipelines, and model evaluation tend to be the most remote-friendly, while positions requiring access to proprietary hardware or specialized lab equipment are more likely to require on-site presence.
How can I get hired as a machine learning intern in Washington with little or no experience?
The most realistic path is applying through university research programs, where Washington employers like Microsoft and Amazon actively recruit students who have completed relevant coursework even without prior industry experience. Participating in a University of Washington or WSU research lab, contributing to a public ML project on GitHub, and completing a relevant Kaggle competition builds a portfolio that Washington hiring managers treat as equivalent to early work experience. Adjacent roles like data analyst intern or software engineer intern at a Washington employer also serve as common stepping stones into ML-focused positions.
Where can I find and apply to machine learning intern jobs in Washington?
You can find and apply to machine learning intern jobs in Washington on Migrate Mate, which lists current openings across Seattle, Redmond, Bellevue, and the rest of the state. Search the listings, find the roles that match your background and availability, and apply directly to the ones that fit.
See All 172+ Machine Learning Intern Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
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