Sr. Machine Learning Engineer, Off-board Perception
Tasks
- Align labeling with model training and evaluation workflows
- Collaborate with autonomy teams on labeling infrastructure
- Connect auto-label outputs to dataset infrastructure
- Design and implement production auto-labeling pipelines
- Develop data-centric learning workflows
- Generate 3D and 4D annotations from multi-modal data
- Lead self-training weak supervision and simulation to real adaptation
- Mentor ML engineers on dataset curation labeling feedback loops
- Monitor and continuously improve models
- Stay current with E2E autonomy and data-centric ML trends
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Active Learning | Airflow | Azure | CI/CD | Camera | Cloud ML | Cloud ML pipelines | Computer Vision | Data orchestration | Dataflow | Deep learning | Distributed Training | Docker | End to End | End-to-end architectures | GCP | IMU | Kubernetes | Lidar | ML pipelines | Machine Learning | Modularity | Multi-Modal | Multi-Modal Learning | Odometry | PyTorch | Python | Ray | Self-Supervised Learning | Self-supervised | Semi-Supervised Learning | Semi-supervised | Simulation to Real | Supervised Learning | TensorFlow | Testing | Transformer Models | Version control | Weak Supervision
Education
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