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python tensorflow pytorch mlops kalman filter📋 Description
- Research, design, and validate estimation and probabilistic models for sensor fusion.
- Develop state estimation for radar, RF, optical and other sensing modalities.
- Implement Kalman filters (EKF/UKF), particle filters, Bayesian filters, and MHT.
- Run simulations and benchmark performance across varying conditions.
- Partner with software engineers to deploy validated algorithms into production.
🎯 Requirements
- Bachelor’s or Master’s in CS/EE/Applied Math or equivalent hands-on ML production experience.
- 8+ years of ML system development and deployment experience.
- Proficiency in Python with PyTorch, TensorFlow, or similar.
- Production ML deployment experience (cloud, edge, or embedded).
- Strong statistics, evaluation, and trade-offs.
- MLOps: CI/CD, model versioning, monitoring, and retraining.
- Experience with large, noisy, multi-modal datasets.
- Clear communication and collaboration aligned with Axon values.
🎁 Benefits
- Competitive salary and 401k with employer match
- Medical, Dental, Vision plans
- Paid time off and parental leave
- Learning & Development programs
- Emotional and mental wellness support
- Employee Resource Groups (ERGs) and inclusive culture
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