Senior ML Engineer Jobs in Washington
Senior ML Engineer jobs in Washington are among the most active in the country, concentrated in cloud infrastructure, autonomous systems, and enterprise AI across a market that supports roles from mid-level to principal. Seattle anchors the majority of hiring, with Bellevue and Redmond close behind, and employers like Amazon, Microsoft, and Boeing maintaining deep, sustained demand for machine learning talent in Washington. The most sought-after specialties are large language model fine-tuning, MLOps and model deployment pipelines, and computer vision applied to robotics or remote sensing. Find a role that fits below and apply directly.
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Showing 5 of 186+ Senior ML Engineer jobs
Join Axon and be a Force for Good.
At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other.
Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter.
Your Impact
As an Senior Machine Learning Engineer II focused on Sensor Fusion & Tracking, you will research, design, and validate advanced estimation and probabilistic models that power Dedrone's real-time airspace awareness systems. Your work will shape the mathematical foundations behind multi-sensor fusion, multi-target tracking, and uncertainty modeling in complex environments. This role offers the opportunity to translate cutting-edge theory into deployed systems that support critical safety missions worldwide.
What You'll Do
Location: Hybrid from Seattle, WA
- Research and develop advanced multi-sensor fusion and multi-target tracking methodologies.
- Design probabilistic models and state estimation frameworks for radar, RF, optical, and other sensing modalities.
- Develop and evaluate algorithms such as Kalman filters (EKF/UKF), particle filters, Bayesian filters, probabilistic data association, and multi-hypothesis tracking.
- Conduct simulation studies and performance benchmarking across varying operational conditions and noise environments.
- Analyze real-world datasets to validate model assumptions, quantify uncertainty, and improve robustness.
- Partner closely with software engineers to transition validated algorithms into scalable, production-ready systems.
- Publish internal technical documentation and contribute to intellectual property development where applicable.
- Stay current with advancements in tracking, estimation theory, probabilistic modeling, and machine learning research.
What You Bring
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, Applied Mathematics, or related field — or equivalent hands-on experience building ML systems in production.
- 8+ years of experience developing and deploying machine learning systems in real-world applications.
- Well-developed proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or similar.
- Experience deploying ML systems in production environments (cloud, edge, or embedded systems).
- Solid understanding of statistics, model evaluation, and performance trade-offs.
- Familiarity with MLOps practices including CI/CD for ML, model versioning, monitoring, and automated retraining workflows.
- Experience working with large, noisy, or multi-modal datasets.
- Clear communication skills and a collaborative mindset aligned with Axon's values: Aim Far, Win Right, Own It, Join Forces, and Be Obsessed with the Customer.
Benefits that Benefit You
- Competitive salary and 401k with employer match
- Discretionary paid time off
- Paid parental leave for all
- Medical, Dental, Vision plans
- Fitness Programs
- Emotional & Mental Wellness support
- Learning & Development programs
- Employee Resource Groups (ERGs)
- And yes, we have snacks in our offices
Benefits listed herein may vary depending on the nature of your employment and the location where you work.
Location: This role is based out of our Seattle, WA office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.
#LI-Hybrid
Don't meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve.
Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you're excited about this role and our mission to Protect Life but your experience doesn't align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Important Notes
The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions.
Some roles may also require legal eligibility to work in a firearms environment.
We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights at axongreenhousesupport@axon.com or via our Axon Privacy Web Form. For more information, please see the Your California Privacy Rights section of our Applicant and Candidate Privacy Notice.
Axon's mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon's impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment.
We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We're committed to hiring the best talent — regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances — and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email recruitingops@axon.com. Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.
Phishing alert: Axon will never ask you to pay for any part of the hiring process, including training, equipment, or background checks. We do not make job offers via text message, WhatsApp, or instant messaging platforms without a formal interview process. All legitimate job openings are listed on our official careers page at https://www.axon.com/careers. If you receive a suspicious offer or outreach from an email address that is not @axon.com, or if you are asked for sensitive personal information (bank details, Social Security Number) prematurely, please ignore the message and report it to recruitingops@axon.com.
Join Axon and be a Force for Good.
At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other.
Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter.
Your Impact
As an Senior Machine Learning Engineer II focused on Sensor Fusion & Tracking, you will research, design, and validate advanced estimation and probabilistic models that power Dedrone's real-time airspace awareness systems. Your work will shape the mathematical foundations behind multi-sensor fusion, multi-target tracking, and uncertainty modeling in complex environments. This role offers the opportunity to translate cutting-edge theory into deployed systems that support critical safety missions worldwide.
What You'll Do
Location: Hybrid from Seattle, WA
- Research and develop advanced multi-sensor fusion and multi-target tracking methodologies.
- Design probabilistic models and state estimation frameworks for radar, RF, optical, and other sensing modalities.
- Develop and evaluate algorithms such as Kalman filters (EKF/UKF), particle filters, Bayesian filters, probabilistic data association, and multi-hypothesis tracking.
- Conduct simulation studies and performance benchmarking across varying operational conditions and noise environments.
- Analyze real-world datasets to validate model assumptions, quantify uncertainty, and improve robustness.
- Partner closely with software engineers to transition validated algorithms into scalable, production-ready systems.
- Publish internal technical documentation and contribute to intellectual property development where applicable.
- Stay current with advancements in tracking, estimation theory, probabilistic modeling, and machine learning research.
What You Bring
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, Applied Mathematics, or related field — or equivalent hands-on experience building ML systems in production.
- 8+ years of experience developing and deploying machine learning systems in real-world applications.
- Well-developed proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or similar.
- Experience deploying ML systems in production environments (cloud, edge, or embedded systems).
- Solid understanding of statistics, model evaluation, and performance trade-offs.
- Familiarity with MLOps practices including CI/CD for ML, model versioning, monitoring, and automated retraining workflows.
- Experience working with large, noisy, or multi-modal datasets.
- Clear communication skills and a collaborative mindset aligned with Axon's values: Aim Far, Win Right, Own It, Join Forces, and Be Obsessed with the Customer.
Benefits that Benefit You
- Competitive salary and 401k with employer match
- Discretionary paid time off
- Paid parental leave for all
- Medical, Dental, Vision plans
- Fitness Programs
- Emotional & Mental Wellness support
- Learning & Development programs
- Employee Resource Groups (ERGs)
- And yes, we have snacks in our offices
Benefits listed herein may vary depending on the nature of your employment and the location where you work.
Location: This role is based out of our Seattle, WA office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.
#LI-Hybrid
Don't meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve.
Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you're excited about this role and our mission to Protect Life but your experience doesn't align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Important Notes
The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions.
Some roles may also require legal eligibility to work in a firearms environment.
We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights at axongreenhousesupport@axon.com or via our Axon Privacy Web Form. For more information, please see the Your California Privacy Rights section of our Applicant and Candidate Privacy Notice.
Axon's mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon's impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment.
We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We're committed to hiring the best talent — regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances — and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email recruitingops@axon.com. Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.
Phishing alert: Axon will never ask you to pay for any part of the hiring process, including training, equipment, or background checks. We do not make job offers via text message, WhatsApp, or instant messaging platforms without a formal interview process. All legitimate job openings are listed on our official careers page at https://www.axon.com/careers. If you receive a suspicious offer or outreach from an email address that is not @axon.com, or if you are asked for sensitive personal information (bank details, Social Security Number) prematurely, please ignore the message and report it to recruitingops@axon.com.
See All 186+ Senior ML Engineer Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find Senior ML Engineer JobsSenior ML Engineer Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
Senior ML Engineer Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
- TikTok36
- Apple27
- ByteDance11
- Amazon10
- Atlassian9
Top Industries Hiring
- Technology & Software28
- Electronics & Hardware16
- Insurance4
- Banking & Financial Services4
- Retail3
What Washington Employers Look For
The qualifications that appear most often in senior ML engineer jobs across Washington.
- Bachelor's or master's degree in computer science, statistics, or a closely related field
- Five or more years of hands-on experience designing and deploying machine learning models in production
- Proficiency in Python and familiarity with frameworks such as PyTorch or TensorFlow
- Experience building and maintaining ML pipelines on cloud platforms, particularly AWS or Azure
- Strong background in data engineering, feature engineering, and model evaluation methodology
- Demonstrated ability to lead cross-functional projects and mentor junior ML engineers
Senior ML Engineer Jobs in Washington: Frequently Asked Questions
How do you become a senior ml engineer in Washington?
Senior ml engineer roles in Washington do not require a state-issued license or registration. The typical path is a bachelor's or master's degree in computer science, statistics, or machine learning, followed by several years of progressive industry experience building and shipping ML systems. Washington employers, particularly those in the Seattle-Bellevue corridor, strongly favor candidates with demonstrated production experience, a portfolio of shipped models, and familiarity with cloud-native ML infrastructure.
How much do senior ML engineers make in Washington?
Senior ML engineers in Washington earn a median of about $128,940 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $60,210 for the lowest 10% to over $200,610 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire senior ml engineers in Washington?
Employers hiring senior ml engineers in Washington right now include TikTok, Apple, and ByteDance, based on current listings on Migrate Mate as of September 2026. Washington's concentration of major cloud and aerospace companies means demand is sustained year-round, with teams across Seattle, Bellevue, and Redmond actively competing for machine learning talent.
Which Washington cities have the most senior ml engineer jobs?
Seattle, Bellevue, and Redmond have the most senior ml engineer openings in Washington. Seattle leads because it is home to major technology and cloud company headquarters, while Bellevue and Redmond draw significant hiring from Microsoft's main campus and the dense cluster of enterprise software and AI startups that have grown around it.
Are there remote senior ml engineer jobs in Washington?
Yes, and more than most fields. About 45% of senior ml engineer openings tied to Washington are remote or hybrid as of September 2026, reflecting how well the role translates to distributed work. Research, model training, and pipeline development are the parts of the job most commonly done fully remote, while roles requiring close collaboration with hardware or robotics teams tend to remain on-site.
How can I get hired as a senior ml engineer in Washington with little or no experience?
The most realistic entry path is a machine learning internship or new-grad program at one of Washington's major technology employers, where structured rotations provide production exposure quickly. Amazon, Microsoft, and a range of Bellevue-based AI startups regularly run university hiring pipelines for roles like ML engineer I or applied scientist. Building a public project portfolio on GitHub, contributing to open-source ML tooling, and earning cloud certifications from AWS or Azure gives candidates without industry experience a credible foothold in Washington's competitive market.
Where can I find and apply to senior ml engineer jobs in Washington?
You can find and apply to senior ml engineer jobs in Washington on Migrate Mate, which lists current Washington openings. Search the available roles, find the ones that fit your background and location, and apply directly to each one.
See All 186+ Senior ML Engineer Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
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