Sr Machine Learning Engineer IThe Association of Technology, Management and Applied Engineering • United States
Sr Machine Learning Engineer I
The Association of Technology, Management and Applied Engineering
- United States
- United States
À propos
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 Applied Machine Learning Scientist/Engineer 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.
Base Pay Range: $150,750–$241,200 USD
We believe that building diverse teams is important and we encourage applicants who do not meet every single requirement to apply anyway.
Important Notes: This job description is not exhaustive of all duties and responsibilities. The description may change or be supplemented at any time in accordance with business needs and conditions.
We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights. For more information, please see your California Privacy Rights section of our Applicant and Candidate Privacy Notice.
We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We comply with applicable laws and regulations and respect the privacy of our applicants. If you have a disability or special need that requires assistance or accommodation, please email recruitingops@axon.com. Phishing alert: Axon will never ask you to pay for any part of the hiring 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 not @axon.com, please ignore it and report it to recruitingops@axon.com.
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Compétences linguistiques
- English
Avis aux utilisateurs
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