Machine Learning Manager Jobs in Washington
Machine Learning Manager jobs in Washington are among the most active in the country, concentrated in cloud computing, enterprise software, and autonomous systems, with openings at every level from lead ML engineer stepping into management through senior director. Seattle anchors the market, with Redmond and Bellevue close behind, where Microsoft, Amazon, and Boeing maintain large applied science and AI platform teams. Washington hiring leans heavily toward MLOps, large language model productionization, and responsible AI governance as the most in-demand specializations. 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 182+ Machine Learning Manager Jobs in Washington
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Find Machine Learning Manager JobsMachine Learning Manager Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
Machine Learning Manager Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
- TikTok36
- Apple24
- Meta11
- ByteDance11
- Atlassian9
Top Industries Hiring
- Technology & Software27
- Electronics & Hardware14
- Insurance4
- Banking & Financial Services4
- Retail3
What Washington Employers Look For
The qualifications that appear most often in machine learning manager jobs across Washington.
- Bachelor's or master's degree in computer science, statistics, or a related quantitative field
- Demonstrated experience leading ML engineering or applied science teams in production environments
- Proficiency with distributed training frameworks such as PyTorch, TensorFlow, or JAX
- Experience owning full model lifecycle from experimentation through deployment and monitoring
- Strong cross-functional collaboration with product, data engineering, and platform infrastructure teams
- Familiarity with responsible AI practices, model governance, and bias evaluation methodologies
Machine Learning Manager Jobs in Washington: Frequently Asked Questions
How do you become a machine learning manager in Washington?
Machine learning manager roles in Washington require no state-issued license or registration. The typical path is a bachelor's or master's degree in computer science, mathematics, or a closely related field, followed by several years as an ML engineer or applied scientist before moving into a lead or staff role. Washington employers generally expect candidates to show technical depth alongside people management experience, often developed through tech lead positions at Seattle-area cloud or software companies before stepping into a formal manager title.
Which companies hire machine learning managers in Washington?
Employers hiring machine learning managers in Washington right now include TikTok, Apple, and Meta, based on current listings on Migrate Mate as of September 2026. Washington's concentration of cloud platform and enterprise software headquarters means many of these roles sit inside large AI product or platform organizations rather than standalone ML teams.
Which Washington cities have the most machine learning manager jobs?
Seattle, Bellevue, and Redmond account for the largest share of machine learning manager openings in Washington. Seattle leads because it anchors Amazon and a dense cluster of AI and cloud startups, while Redmond and Bellevue draw volume from Microsoft's campus and the ring of enterprise software firms that have grown up around it, making the Eastside corridor nearly as active as Seattle proper.
Are there remote machine learning manager jobs in Washington?
Yes, and more than most fields. About 41% of machine learning manager openings tied to Washington are remote or hybrid as of September 2026, reflecting how much of the work happens in code reviews, design documents, and video stand-ups rather than on-site hardware. The portions most likely to stay fully remote are strategy, roadmap planning, and model evaluation, while teams working on proprietary hardware or real-time inference infrastructure tend to require at least partial on-site presence.
How can I get hired as a machine learning manager in Washington with little or no experience?
The most realistic entry path is moving into a team lead or tech lead role within an existing ML engineering position at a Washington company before formally applying to manager openings. Amazon's internal mobility program and Microsoft's senior-to-principal promotion track both create pathways for engineers who demonstrate scope expansion and mentorship before a title change. Building a portfolio of end-to-end deployed models and contributing to open-source projects in LLM tooling or MLOps frameworks helps candidates compete for first-time manager roles at mid-size Seattle and Bellevue AI companies that hire player-coaches.
Where can I find and apply to machine learning manager jobs in Washington?
You can find and apply to machine learning manager jobs in Washington on Migrate Mate, which lists current Washington openings. Find roles that fit your experience and apply directly to the ones that match.
See All 182+ Machine Learning Manager Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
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