Sr Machine Learning Engineer I
USD 150K-241K Senior-level Full Time
Tasks
- Analyze real world datasets for model validation
- Conduct simulation studies and performance benchmarking
- Design probabilistic state estimation models
- Develop Bayesian filters
- Develop Kalman filters EKF UKF
- Develop multi target tracking methodologies
- Develop particle filters
- Implement multi hypothesis tracking
- Implement probabilistic data association
- Maintain technical documentation
- Quantify uncertainty and improve robustness
- Research multi sensor fusion methods
- Stay current with tracking and estimation research
- Transition algorithms to scalable production systems
Perks/Benefits
- Discretionary paid time off
- Emotional and mental wellness support
- Employee resource groups
- Fitness programs
- Learning and development programs
- Medical/Dental/Vision
- Paid parental leave
- Snacks
Skills/Tech-stack
Automated retraining | Bayesian Filter | CI/CD | Data Association | Extended Kalman | Extended Kalman Filter | Hypothesis tracking | Kalman Filter | Language data | Large Language Data | MLOps | Machine Learning | Model Evaluation | Model versioning | Monitoring | Multi-hypothesis Tracking | Optical | Particle Filter | Probabilistic Data Association | Probabilistic Modeling | Production Deployment | PyTorch | Python | RF | Radar | Simulation | State Estimation | Statistics | TensorFlow | Unscented Kalman | Unscented Kalman Filter
Education
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