Senior ML Engineer: Tracking & Sensor Fusion (Hybrid)

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

Benefits offered by this job

Competitive salary

401k with employer match

Discretionary PTO

Paid parental leave

Wellness programs

ERGs

Snacks in office

Job summary

Axon Enterprise in Seattle, WA is seeking a highly experienced ML systems engineer to advance multi-sensor fusion and tracking algorithms. The role blends research with production deployment, collaborating with software engineers to scale models in cloud/edge environments.

You will design probabilistic state estimation, implement Kalman variants, benchmark performance, and work on datasets to improve robustness while staying aligned with Axon’s customer-focused values.

Qualifications

• Degree or equivalent hands-on experience building ML systems in production.
• 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 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.

Responsibilities

• 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.

Skills

Python

ML production

Statistics

Communication

Education

Bachelor’s/Master’s in CS/EE/Applied Math

Tools

PyTorch

TensorFlow

CI/CD for ML

Model versioning

Monitoring ML models

Job description

Axon Enterprise in Seattle, WA is seeking a highly experienced ML systems engineer to advance multi-sensor fusion and tracking algorithms. The role blends research with production deployment, collaborating with software engineers to scale models in cloud/edge environments.

You will design probabilistic state estimation, implement Kalman variants, benchmark performance, and work on datasets to improve robustness while staying aligned with Axon’s customer-focused values.