Senior Machine Learning Engineer - Perception

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

On our Perception team, you have the opportunity to work with world-class ML engineers and research scientists, whose mission is to make self-driving vehicles a reality and to create a positive social impact. Our team works on the tech stack responsible for perceiving the dynamic scenarios, and further tracking and classifying objects around our robo-taxi. We are looking for engineers who are passionate about Level 4 autonomous driving technology, excited by intellectual challenges, and interested in pursuing career growth with a fast-growing company.

What You'll Be Doing:

• 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

What We're Looking For:

• Masters or Ph.D. in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience
• In-depth understanding of common Machine Learning and Deep Learning algorithms
• 3 years of experience with designing, training, and analyzing neural networks for at least one of the following applications: object detection, semantic/instance segmentation, visual classification, motion/gesture recognition, sensor fusion, multitask learning, multi-object tracking, and/or end-to-end perception
• Experience with deep learning frameworks such as TensorFlow or PyTorch
• Fluency in Python, including standard scientific computing libraries and Python bindings development experience
• Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods
• Excellent communication and interpersonal skills
• Experience mentoring and leading others

Preferred, but not required:

• Strong programming skills in C++ and/or CUDA programming
• Proven track record of developing and deploying perception systems for autonomous vehicles or robotics
• Experience with embedded systems and real-time optimization, especially in the autonomous driving industry
• Experience with launching ML products from ideation
• Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.)
• Experience in deploying models into real-world environments