Senior ML Engineer Jobs in Seattle, WA
Senior ML Engineer jobs in Seattle are concentrated in South Lake Union, Bellevue, and the Eastside corridor, where demand from cloud computing, e-commerce, and biotech companies stays consistently strong. Employers hiring right now include TikTok, Apple, and ByteDance. Scan the live roles below and apply to whichever ones fit.
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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.
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Find Senior ML Engineer JobsSenior ML Engineer Job Market in Seattle
Who's Hiring
- TikTok41
- Apple31
- ByteDance13
- Atlassian10
- Amazon8
Top Industries Hiring
- Technology & Software29
- Electronics & Hardware18
- Insurance5
- Banking & Financial Services5
- Retail3
Senior ML Engineer Jobs in Seattle: Frequently Asked Questions
How do I get a senior ml engineer job in Seattle?
Focus on Seattle's dominant hiring sectors: cloud infrastructure, e-commerce platforms, and health tech. Roles concentrate in South Lake Union, the Eastside, and the Bellevue tech corridor. Candidates who demonstrate experience with large-scale distributed systems or production model deployment stand out in this market. Contributing to open-source ML projects and engaging with Seattle's active AI meetup community also gives applicants a concrete local edge.
Which companies hire senior ml engineers in Seattle?
Seattle senior ml engineer roles are posted by TikTok, Apple, and ByteDance and others right now, based on current listings on Migrate Mate as of September 2026. The Seattle market includes a mix of global technology giants headquartered locally, high-growth startups in South Lake Union, and enterprise employers in the Eastside who rely on ML to power recommendation, logistics, and clinical decision systems.
Are there remote senior ml engineer jobs in Seattle?
Yes, though many roles require at least some on-site collaboration given the team-embedded nature of senior ML work. About 45% of senior ml engineer openings tied to Seattle are remote or hybrid as of September 2026, with fully remote positions most common for modeling and research tracks rather than platform or MLOps roles that involve close integration with engineering teams.
How can I get a senior ml engineer job in Seattle with little or no experience?
The most realistic entry path in Seattle is through an ML engineer or data scientist role at a mid-size tech company, then building toward senior scope from within. Seattle employers in e-commerce, health informatics, and cloud services regularly hire early-career engineers for applied ML roles. University of Washington's programs feed local pipelines directly, and contract-to-hire arrangements at Eastside employers are a common on-ramp to permanent senior positions.
Which industries hire the most senior ml engineers in Seattle?
Seattle senior ml engineer roles concentrate in Technology & Software, Electronics & Hardware, and Insurance, based on current listings on Migrate Mate as of September 2026. Seattle's position as a global hub for cloud computing and e-commerce means those sectors alone account for a large share of local ML hiring, with health technology adding significant volume as major medical systems and biotech firms expand their applied AI teams.
Related Jobs in Washington
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