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 an experienced perception engineer to join our team advancing Level 4 autonomous driving technology.

You will work with world-class ML engineers and research scientists to build perception systems for robo-taxis, including object detection, tracking, and sensor fusion across camera, lidar, and radar data. You will design, train, and optimize neural networks, deploy solutions on embedded hardware, mentor junior engineers, and stay at the forefront of

Qualifications

• Bachelor's degree plus 5+ years of relevant experience or higher degrees
• Experience designing, training, and analyzing neural networks for perception applications
• Proficiency in Python and DL frameworks (TensorFlow or PyTorch) and software engineering basics
• Excellent communication and mentoring/leadership abilities

Responsibilities

• Develop and implement 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
• Optimize perception algorithms for real-time performance on embedded hardware
• Collaborate with other engineers to integrate perception systems into autonomous systems
• Stay updated with ML and CV research and apply it to real-world problems
• Productionize and deploy solutions onto autonomous vehicle fleets
• Mentor and guide junior engineers on the team

Skills

Python

TensorFlow

PyTorch

C++

CUDA

Machine Learning

Deep Learning

Software Engineering

Mentoring

Education

Bachelor's degree

Master's degree

PhD

Tools

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:

• Bachelor’s degree in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics, or a related field, plus 5+ years of relevant experience; or
• Master’s degree in one of the above fields (or equivalent industry experience), plus 2+ year of relevant experience; or
• Ph.D. in one of the above fields, with research focused on perception or computer vision applicable to autonomous vehicles.
• Experience designing, training, and analyzing neural networks for one or more perception applications, including object detection, semantic/instance segmentation, visual classification, motion/gesture recognition, sensor fusion, multitask learning, multi-object tracking, and/or end-to-end perception.
• In-depth understanding of common Machine Learning and Deep Learning algorithms
• Experience with deep learning frameworks such as TensorFlow or PyTorch
• Fluency in Python, including standard scientific computing libraries and Python bindings development experience
• 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