Sr Machine Learning Engineer II
Seattle, Washington, United States
- Pay
USD 150,750–241,200/year · BaseAnnual period assumed — pay source
Base Pay Range $150,750—$241,200 USD 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.
Read the full posting- Work setup
Hybrid stated — work setup source
What You’ll Do Location: Hybrid from Seattle, WA Research and develop advanced multi-sensor fusion and multi-target tracking methodologies.
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
Read the full posting- Employment
- Unconfirmed
What you’ll work on
Full postingResearch 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.
From the employer’s posting
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.
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.
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.
What you’ll bring
All qualificationsCore experience
- 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.
- 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.
Qualification wording
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.
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.
Education & alternatives
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.
Tools in this posting
- Python
- PyTorch
- TensorFlow
Source — Tool mentions in context
- 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).
Job description
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
Axon is a total compensation company, meaning compensation is made up of base pay, bonus, and stock awards. The actual base pay is dependent upon many factors, such as: level, function, training, transferable skills, work experience, business needs, geographic market, and often a combination of all these factors. Our benefits offer an array of options to help support you physically, financially and emotionally through the big milestones and in your everyday life. To see more details on our benefits offerings please visit https://www.axon.com/careers.
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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Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Base Pay Range $150,750—$241,200 USD 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.
- Location & working pattern
Seattle, Washington, United States
What You’ll Do Location: Hybrid from Seattle, WA - Research and develop advanced multi-sensor fusion and multi-target tracking methodologies.
More source context
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 Axon is a total compensation company, meaning compensation is made up of base pay, bonus, and stock awards. The actual base pay is dependent upon many factors, such as: level, function, training, transferable skills, work experience, business needs, geographic market, and often a combination of all these factors. Our benefits offer an array of options to help support you physically, financially and emotionally through the big milestones and in your everyday life. To see more details on our benefits offerings please visit https://www.axon.com/careers.
- Work authorization
This passage needs a closer read in the full description.
- Status in our records
- Active
- First seen by us
- Sep 16, 2026
- Recorded sightings
- 178
- Last seen by us
- Oct 8, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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