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

At 42dot, the Senior Machine Learning Engineer team focuses on developing state-of-the-art solutions in Motion Planning algorithms for autonomous driving. They create advanced prediction algorithms for future path planning, ensuring safety and reliability of autonomous driving systems. The team utilizes vast datasets to analyze driving patterns and design algorithms for smooth vehicle control.

Responsibilities include:

• Leading the design and development of advanced machine learning models for autonomous driving tasks
• Driving end-to-end machine learning pipeline development
• Applying state-of-the-art deep learning techniques
• Optimizing model performance in real-world conditions
• Collaborating with cross-functional teams
• Mentoring junior engineers
• Staying updated on the latest trends in machine learning and autonomous driving

Qualifications:

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

Preferred Qualifications:

• Strong background in autonomous driving technologies
• Experience with hardware-in-the-loop testing and real-time deployment
• Research and development experience in autonomous driving and robotics
• ROS1/ROS2 experience
• Experience deploying predictive models in real-world environments
• Inference optimization experience
• History of academic activities in related fields

42dot offers insights into their Autonomous Driving AI software through videos from KCCV 2022 and UMOS Day 2021. They also provide information about their work culture and employee engagement programs on their website.