Senior Machine Learning Engineer, End‑to‑End Autonomous Driving
US, CA, Santa Clara, United States
USD 184K-356K Senior-level Full Time
Tasks
- Apply data centric learning algorithms
- Automate data discovery labeling evaluation retraining
- Build and maintain multimodal datasets
- Build data flywheel for real world performance
- Collaborate with researchers and engineers
- Curate and iterate data sources from simulation and synthetic data
- Deploy deep learning models to production
- Design end to end driving models
- Develop active learning and curriculum learning
- Identify failure cases and specify data collection
- Implement hard example mining and outlier detection
- Productize simulation synthetic data and world model augmentation
- Train large scale end to end driving models
Perks/Benefits
- N/A
Skills/Tech-stack
Active Learning | Automated Data Labeling | CI/CD | Code review | Curriculum learning | Data Pipelines | Data Preprocessing | Data Quality | Data Retraining | Data labeling | Data quality monitoring | Deep learning | Distributed Training | Hard example mining | Imitation Learning | JAX | Machine Learning | Model Evaluation | Multimodal Learning | Novelty Detection | Outlier Detection | PyTorch | Python | Quality monitoring | Reinforcement Learning | Self-Supervised Learning | Self-supervised | Semi-Supervised Learning | Semi-supervised | Simulation | Supervised Learning | Synthetic data | TensorFlow | Transformers | Video Modeling | World Models
Education
Regions
Countries
States
Cities
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