Sr Machine Learning Engineer I
Seattle, Washington, United States
R
USD 150K-241K Senior-level Full Time
Tasks
- Apply Bayesian filters and probabilistic data association
- Collaborate with software engineers for production deployment
- Conduct simulation studies and performance benchmarking
- Design probabilistic models and state estimation frameworks
- Develop Kalman filters and particle filters
- Implement multi hypothesis tracking
- Publish technical documentation
- Quantify uncertainty and improve robustness
- Research multi sensor fusion and multi target tracking
- Validate models on real world datasets
Perks/Benefits
- Discretionary paid time off
- Emotional and mental wellness support
- Employee resource groups
- Fitness programs
- Learning and development programs
- Medical, dental, vision plans
- Paid parental leave
- Snacks
Skills/Tech-stack
Automated retraining | Bayesian Filter | CI/CD | Data Analysis | Data Association | Extended Kalman | Extended Kalman Filter | Hypothesis tracking | Kalman Filter | MLOps | Machine Learning | Model Monitoring | Model versioning | Multi-hypothesis Tracking | Particle Filter | Probabilistic Data Association | PyTorch | Python | Radar | Simulation | State Estimation | TensorFlow | Uncertainty Modeling | Unscented Kalman | Unscented Kalman Filter
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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