Senior Machine Learning Engineer - Perception

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

#LI-AW1 Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.

Our journey is always people first.

We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.

Higher purpose, greater impact.

We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not onl …