Senior Machine Learning Engineer (End-to-End Driving)

42dot develops autonomous driving AI software and technologies, focusing on innovative solutions in the autonomous vehicle industry.
Pangyo-dong, Bundang-gu, Seongnam-si, Gyeonggi-do, South Korea
Machine Learning
Senior Software Engineer
Hybrid
5+ years of experience
AI · Automotive

Description For Senior Machine Learning Engineer (End-to-End Driving)

42dot is at the forefront of autonomous driving technology, developing cutting-edge AI solutions for self-driving vehicles. As a Senior Machine Learning Engineer focusing on End-to-End Driving, you'll be part of a team that develops state-of-the-art Motion Planning algorithms and advanced prediction systems for autonomous vehicles. The role combines deep technical expertise in machine learning with practical applications in autonomous driving systems.

You'll lead the development of sophisticated ML models, working with various deep learning techniques including reinforcement learning, imitation learning, and self-supervised learning. The position offers the opportunity to work with large-scale datasets and implement solutions that directly impact the future of autonomous driving technology.

The ideal candidate will have advanced education in Computer Science or related fields, with strong expertise in deep learning algorithms and frameworks. You'll need to demonstrate both technical excellence and leadership abilities, as you'll be mentoring junior engineers while collaborating with cross-functional teams.

Working in a hybrid environment at the Software Dream Center in Pangyo, South Korea, you'll be part of a company that's pushing the boundaries of what's possible in autonomous driving. This role offers the chance to work on cutting-edge technology while contributing to the future of transportation.

Last updated 2 minutes ago

Responsibilities For Senior Machine Learning Engineer (End-to-End Driving)

  • Lead the design and development of advanced machine learning models for autonomous driving tasks
  • Drive end-to-end machine learning pipeline development from data collection to deployment
  • Apply state-of-the-art deep learning techniques
  • Optimize model performance in real-world driving conditions
  • Collaborate with cross-functional teams
  • Mentor junior engineers
  • Stay updated on latest trends and research in ML and autonomous driving

Requirements For Senior Machine Learning Engineer (End-to-End Driving)

Python
  • Master's or Ph.D. in Computer Science, Machine Learning, AI, Robotics, or related field
  • Extensive experience with deep learning algorithms (CNN, RNN, Transformer)
  • Strong proficiency in Python and machine learning frameworks (TensorFlow, PyTorch)
  • Deep understanding of reinforcement learning, imitation learning, and optimization techniques
  • Experience working with large-scale datasets and cloud-based machine learning pipelines
  • Excellent leadership and communication skills

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