Lead Machine Learning Engineer
Tasks
- Build data processing pipelines for multimodal data
- Collaborate with external companies and organizations
- Deploy machine learning models to robots
- Design real time inference for low latency control
- Develop multimodal vision language action model architectures
- Evaluate model performance and safety
- Optimize model hyperparameters
- Train multimodal models
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | Control Theory | Data Processing | Data Processing Pipelines | Deep learning | Diffusion Models | Flow matching | Hyperparameter Tuning | Imitation Learning | Jetson | Language Models | Machine Learning | Model Evaluation | Multimodal Learning | Processing pipelines | Python | ROS1 | ROS2 | Real Time | Real-time Inference | Reinforcement Learning | Robot deployment | Robotics middleware | Safety validation | Transformer | Vision Models
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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