Senior, ML Engineer - Offline Perception
Tasks
- Automatically create annotations from logged sensor data
- Define data governance for large data sets
- Design implement test deploy offline object detection
- Design implement test deploy offline tracking
- Design implement test deploy sensor fusion modules
- Develop guidelines for analytics and machine learning model deployment
- Develop offline perception models and algorithms
- Document developed applications
- Implement data ingestion data preparation and data curation
- Manage version control and software development processes
- Measure and track auto labeling quality
- Provide technical leadership, mentoring, and coaching
- Support visualization and data accessibility
Perks/Benefits
- 401k match
- Accidental death insurance
- Health, dental, vision insurance
- Life insurance
- Paid vacation
- Work-life balance flexibility
Skills/Tech-stack
3.js | AWS | AWS Lambda | AWS Step Functions | Amazon Athena | Amazon DynamoDB | Amazon ECS | Amazon S3 | BEV | CI/CD | Computer Vision | Data Curation | Data Governance | Data Visualization | Deep learning | Docker | Experiment tracking | GitHub Actions | LanceDB | Lightning | MLflow | Machine Learning | Model Evaluation | Model Quality | Model Registry | Object Detection | Object Tracking | OpenGL | Pandas | Parquet | PyArrow | PyTorch | Python | Ray | SLAM | Semantic Segmentation | Sensor fusion | Step Functions | Tableau | Terraform | Vector Databases | Weights and Biases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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