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