Sr Machine Learning Engineer I
Seattle, Washington, United States
R
USD 150K-241K Senior-level Full Time
Tasks
- Benchmark algorithm performance
- Collaborate with software engineers
- Contribute to intellectual property
- Deploy algorithms in production systems
- Design multi target tracking models
- Develop Bayesian filters
- Develop Kalman filters
- Develop particle filters
- Develop probabilistic data association
- Develop probabilistic state estimation frameworks
- Implement multi hypothesis tracking
- Publish technical documentation
- Quantify uncertainty
- Research multi sensor fusion methods
- Run simulation studies
- Validate models with real world datasets
Perks/Benefits
- 401k match
- Dental insurance
- Emotional & mental wellness support
- Employee resource groups
- Fitness programs
- Learning and development programs
- Medical insurance
- Paid parental leave
- Paid time off
- Vision insurance
Skills/Tech-stack
Automated retraining | Bayesian Filter | CI/CD | Cloud Computing | Data Association | Edge Computing | Embedded Systems | Extended Kalman | Extended Kalman Filter | Hypothesis tracking | Kalman Filter | MLOps | Machine Learning | Machine learning deployment | Model Evaluation | Model versioning | Monitoring | Multi-hypothesis Tracking | Optical sensing | Particle Filter | Probabilistic Data Association | Probabilistic Modeling | PyTorch | Python | Radar | State Estimation | Statistics | TensorFlow | Unscented Kalman | Unscented Kalman Filter
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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