Machine Learning Engineer developing perception foundation models leveraging multimodal sensor data for autonomous vehicles at Woven by Toyota. Design, implement machine learning solutions, influence Toyota production vehicles.
About the role
- Machine Learning Engineer developing deep learning models for self-driving vehicle systems at BlueSpace.ai. Engage in innovative ML applications while collaborating with a seasoned team in the autonomous vehicle ecosystem.
Responsibilities
- Develop deep learning models for a variety of autonomy applications (relevant areas: object detection, classification, segmentation, behavior prediction, end-to-end driving).
- Research, design, improve, and implement state-of-the-art ML algorithms and deploy them onto self-driving vehicles and in datacenters.
- Identify or collect the required datasets and implement data processing pipelines.
- Deliver reliable software through continuous integration, automated testing, and code reviews.
- Address the real-world issues encountered during tests or customer deployments.
Requirements
- Bachelor’s Degree in Computer Science, Mechanical Engineering, Electrical Engineering, or equivalent. Advanced Degrees highly preferred.
- Demonstrated ML Engineering experience developing either Computer Vision models (preferred) or other models (such as LLMs, Finance, Ads, or others).
- Production experience with Deep Learning models (training, fine-tuning, or deployment).
- Excellent software engineering skills in Python or C++.
- Strong analytical skills in linear algebra, geometry, and probability.
- Experience with a deep learning framework, such as PyTorch, JAX, TensorFlow.
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