Sr Machine Learning Engineer II Seattle, Washington, United States Seattle, Washington

Axon Enterprise; Seattle, Northern (WA, KY); Hybrid; USD 151,000 - 241,000; Full time

Benefits offered by this job

401k with match

PTO

Parental leave

Fitness programs

Wellness support

ERGs

Office snacks

Job summary

Axon Enterprise in Seattle, WA is seeking an experienced machine learning engineer for a hybrid role. You will research and develop advanced tracking methods, design probabilistic models for multi-sensor data, and work with software engineers to productionize algorithms.

The role requires 8+ years of production ML experience, strong Python, and experience with PyTorch or TensorFlow. Join a mission-driven team focused on safety and cutting-edge estimation research.

Qualifications

• Bachelor’s or Master’s degree in CS/EE/Applied Math or equivalent ML production experience.
• 8+ years of experience developing and deploying machine learning systems in real-world applications.
• Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or similar.
• Experience deploying ML systems in production environments (cloud, edge, or embedded).
• 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.

Responsibilities

• Research and develop multi-sensor fusion and tracking methods.
• Design probabilistic models for radar, RF, optical sensing.
• Develop algorithms like Kalman filters, particle filters, and multi-hypothesis tracking.
• Conduct simulations and benchmark performance under varied conditions.
• Analyze real-world datasets to validate models and improve robustness.
• Collaborate with software engineers to productionize algorithms.
• Publish internal documentation and contribute to IP development.
• Stay current with tracking, estimation theory, probabilistic modeling, and ML research.

Skills

Python

PyTorch/TF

Production ML

MLOps CI/CD

Statistics

Multimodal data

Communication

Education

Bachelor's/Master's in CS/EE/Applied Mathematics

Tools

Cloud platforms

Job description

Location: Seattle, Washington, United States

Join Axon and be a Force for Good.

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
• Fitness Programs
• Emotional & Mental Wellness support
• 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

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.

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.

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.

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 [e-mail]. Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.