Staff AI Engineer - Perception

Motional; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Motional is seeking a Staff AI Engineer to design and develop onboard and offboard pipelines for temporal classification and related software for autonomous driving systems. This role sits on the Semantics team, impacting safety and functionality of the stack.

You will lead architecture for perception systems and develop scalable C++ software for deployment on fleets, while mentoring engineers and aligning with partner teams.

Qualifications

• Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a related field.
• 5+ years of experience designing, training, and analyzing neural networks for relevant applications.
• 5+ years of Python experience and fluency in C++.
• Experience with PyTorch or other deep learning frameworks.
• Experience in automotive/real-time and embedded systems is a plus.

Responsibilities

• Lead architecture, design and development of advanced perception systems (object detection, segmentation, sensor fusion, temporal classification).
• Develop scalable C++ software for deployment on autonomous vehicle fleets.
• Provide technical leadership across teams and contribute to patents where applicable.
• Provide mentorship and code reviews to engineers on the team and perception org.

Skills

Python

C++

PyTorch

Object detection

Image segmentation

Temporal classification

Sensor fusion

Multitask learning

Traffic light detection

Education

Masters or PhD in ML/CS/Applied Math/Statistics/Physics

Tools

Git

Linux

ROS

Job description

Mission Summary

We're looking for a Staff Al Engineer to design and develop onboard and offboard pipelines for temporal classification and related software for our autonomous driving systems. This is a critical, high-impact role on our Semantics team, which is central to the safety and functionality of our autonomous driving stack.

On our Perception team, you have the opportunity to work with world-class ML/AI 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 for 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:

• Lead the architecture, design and development of advanced perception systems such as object detection, instance segmentation, sensor fusion, action recognition, temporal classification, traffic light detection etc using Python.
• Develop scalable, clean C++ software to productize and deploy solutions onto our autonomous vehicle fleets for down-stream consumption.
• Provide technical leadership across the organization, contribute to patent filings, align with our partner team.
• Provide mentorship, code reviews, and guidance to senior and junior-level engineers on the team and within the larger perception org including topics such as code quality, correctness and efficiency.

What We're Looking For:

• Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a related field with 5+ years of relevant experience
• Experience designing, training, and analyzing neural networks for at least one of the following applications: Object detection, Image segmentation, Action Recognition, Temporal Classification, Sensor fusion, Multitask learning, Traffic light detection, Active learning, and One shot learning.
• 5+ years of experience in Python and fluency in C++ software development.
• Experience with PyTorch or other deep learning frameworks.
• Experience in automotive or other real-time and embedded systems.
• Ability to communicate across multiple teams, researchers and engineers

Bonus Points (not required):

• Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICLR...)