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Senior Machine Learning Engineer (EndtoEnd Driving)

Roles & Responsibilities

  • Master's or Ph.D. in Computer Science, Machine Learning, AI, Robotics, or related fields.
  • Extensive experience with deep learning algorithms like CNN, RNN, Transformer.
  • Proficiency in Python and frameworks such as TensorFlow and PyTorch.
  • Strong understanding of reinforcement learning, imitation learning, and optimization techniques.

Requirements:

  • Lead the design and development of machine learning models for autonomous driving.
  • Develop end-to-end machine learning pipelines from data collection to deployment.
  • Apply advanced deep learning techniques to improve autonomous driving performance.
  • Collaborate with cross-functional teams and mentor junior engineers.

Job description

We are looking for the best

At 42dot, our Senior Machine Learning Engineer team focuses on developing stateoftheart solutions in Motion Planning algorithms. We create advanced prediction algorithms for future path planning, a critical aspect of ensuring the safety and reliability of autonomous driving systems. By utilizing vast datasets, we conduct comprehensive analyses of driving patterns, allowing us to design algorithms that facilitate smooth and natural vehicle control. Our goal is to drive the innovation needed to shape the future of autonomous driving technologies.

Responsibilities

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