Senior ML Engineer, Sensor Fusion & Tracking

Menlo Ventures; Seattle (WA); On-site; USD 151,000 - 241,000; Full time

Benefits offered by this job

Competitive salary

401k with employer match

Discretionary paid time off

Parental leave

Medical, Dental, Vision plans

Wellness support

Learning & Development programs

ERGs

Snacks in offices

Job summary

Axon seeks an Applied Machine Learning Scientist/Engineer focused on Sensor Fusion & Tracking to advance real-time airspace awareness systems. You will research and validate estimation models and translate theory into production code in a fast-paced environment.

Location: Hybrid from Seattle, WA with collaboration across software engineers to build scalable, production-ready systems. You will publish technical docs and stay current in tracking and ML research within a mission-driven company.

Qualifications

• 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.
• 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: Aim Far, Win Right, Own It, Join Forces, and Be Obsessed with the Customer.

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 frameworks

MLOps

Data analysis

Communication

Team collaboration

Education

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

Tools

PyTorch

TensorFlow

Job description

Axon seeks an Applied Machine Learning Scientist/Engineer focused on Sensor Fusion & Tracking to advance real-time airspace awareness systems. You will research and validate estimation models and translate theory into production code in a fast-paced environment.

Location: Hybrid from Seattle, WA with collaboration across software engineers to build scalable, production-ready systems. You will publish technical docs and stay current in tracking and ML research within a mission-driven company.