Senior Perception ML Engineer – Autonomous Driving

motional singapore pte. limited; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Motional Singapore Pte. Limited is seeking a senior perception engineer to advance object detection, tracking, and segmentation using camera, lidar, and radar data.

You will optimize real-time perception on embedded hardware and collaborate with ML researchers to deploy robust systems across autonomous fleets. The role requires a PhD or master's in ML/CS/Robotics, strong Python and ML framework skills, and experience mentoring engineers.

Qualifications

• Masters or Ph.D. in ML, CS, robotics, physics, or related field; or equivalent industry experience.
• Deep understanding of ML/DL algorithms and evaluation methods.
• 3+ years designing, training, and analyzing neural networks for perception/vision tasks.

Responsibilities

• Contribute to the development and implementation of advanced perception algorithms for object detection, tracking, classification, and segmentation using camera, lidar, and radar data.
• Connect and drive business impact through technology solutions.
• Design and implement sensor fusion algorithms to combine data from multiple sensors to create a robust and accurate perception system.
• Optimize perception algorithms for real-time performance on embedded hardware.
• Collaborate with other engineers and teams to integrate perception systems into larger autonomous systems.
• Stay abreast of the latest research and advancements in machine learning and computer vision and apply them to real-world problems.
• Productionize and deploy solutions onto autonomous vehicle fleets.
• Derive good insight from large data sets from a variety of sources.
• Mentor and guide junior engineers on the team.

Skills

Neural networks

Python

ML frameworks

C++ (preferred)

Mentoring

Education

Master's or PhD in ML/CS/Robotics or related field

Tools

TensorFlow

PyTorch

CUDA

Job description

Motional Singapore Pte. Limited is seeking a senior perception engineer to advance object detection, tracking, and segmentation using camera, lidar, and radar data.

You will optimize real-time perception on embedded hardware and collaborate with ML researchers to deploy robust systems across autonomous fleets. The role requires a PhD or master's in ML/CS/Robotics, strong Python and ML framework skills, and experience mentoring engineers.