Sr Machine Learning Engineer I
Seattle, Washington, United States
USD 150K-241K Senior-level Full Time
Tasks
- Analyze datasets to validate models
- Conduct simulation studies and performance benchmarking
- Design probabilistic models and state estimators
- Develop and evaluate algorithms including Kalman filters and particle filters
- Publish technical documentation
- Research and develop sensor fusion and tracking methods
- Stay current with research advancements
- Transition algorithms into scalable systems
Perks/Benefits
- Employee resource groups
- Fitness programs
- Learning and development
- Medical/Dental/Vision
- Mental wellness support
- Paid time off
- Parental leave
Skills/Tech-stack
Bayesian Filter | Data Analysis | Kalman Filter | Machine Learning | Particle Filter | Probabilistic Modeling | Python | Sensor fusion | Simulation
Education
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