Machine Learning Engineer, VLA
Tasks
- Build data pipelines for large real world datasets
- Build foundation model architectures
- Build scalable distributed training pipelines
- Collaborate with perception mapping simulation and systems teams
- Deploy research ideas into production autonomous vehicle systems
- Design deep learning models
- Develop autonomous vehicle planning and decision models
- Optimize models for low latency reliability and on vehicle deployment
- Train behavior and intent prediction models
- Train multi agent trajectory prediction models
Perks/Benefits
- N/A
Skills/Tech-stack
Autoregressive models | C++ | Data Pipelines | Deep learning | Device deployment | Diffusion Models | Distributed Training | Flow-based models | GPU clusters | JAX | Latency optimization | Machine Learning | On-device Deployment | PyTorch | Python | TensorFlow | Transformers
Education
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