Motional AD Inc.
Senior Machine Learning Engineer - Prediction
Motional AD Inc., Boston, Massachusetts, us, 02298
Our teams are made up of engineers, researchers, innovators, dreamers, and doers. Together, we can change the world.
All Motional open positions and applications will be posted here on the official website.
Autonomy On Behaviors , you'll have the opportunity to work with world‑class ML engineers and research scientists to make self‑driving vehicles a reality and create positive social impact. Our team works on the tech stack responsible for understanding highly complex driving scenes and generating safe, comfortable driving trajectories for our robotaxi using the latest deep neural networks. We are looking for engineers who are passionate about Level 5 autonomous driving, excited by intellectual challenges, and interested in pursuing career growth with a fast growing company.
What You’ll Be Doing: You will be directly responsible for training, evaluation, and deployment of our ML‑based scene understanding, behavior prediction, and planning models. Day‑to‑day responsibilities include:
Designing and executing high‑value experiments based on collaborative input from other machine learning engineers
Prototyping and implementing continuously improving metrics to evaluate the performance of our behavioral models across many desired scenarios and robotaxi capabilities
Timely release of major model updates, including analysis of both off‑line and on‑road evaluation data
Staying up to date with the latest trends in our fast moving industry, and proposing new architectures and network designs based on published literature
Maintaining a high quality training and evaluation code‑base, including portions of our training stack dedicated to dataset generation and evaluation
What We’re Looking For:
In‑depth understanding of common Machine Learning and Deep Learning algorithms
Experience designing, training, and analyzing neural networks for at least one of the following applications: motion planning, object detection, sensor fusion, motion prediction, and/or multi‑object tracking
Strong track record of tackling less well‑defined problems, and executing efficiently to deliver the successful outcome
Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, and testing methods
Experience with PyTorch or other Python‑based deep learning frameworks
Experience working with large data sets and deriving insights from data
Experience mentoring and collaborating with others
Education Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience
Bonus Points
PhD in machine learning, computer vision, or robotics vision
Experience working on autonomous vehicles or related fields
Experience in deploying models into real‑world environments
Strong programming skills in C++ and/or CUDA programming
This opportunity can support remote work within the United States, with occasional travel.
Working Conditions While performing the duties of this job, the employee is frequently required to convey and detect communication.
The employee occasionally required to remain stationary at times for up to 50% of working time, move in designated working areas; & operate and use office equipment.
The employee may occasionally move up to 50 pounds.
Salary Range $146,000 — $225,000 USD
Motional is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E‑Verify. All newly‑hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
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All Motional open positions and applications will be posted here on the official website.
Autonomy On Behaviors , you'll have the opportunity to work with world‑class ML engineers and research scientists to make self‑driving vehicles a reality and create positive social impact. Our team works on the tech stack responsible for understanding highly complex driving scenes and generating safe, comfortable driving trajectories for our robotaxi using the latest deep neural networks. We are looking for engineers who are passionate about Level 5 autonomous driving, excited by intellectual challenges, and interested in pursuing career growth with a fast growing company.
What You’ll Be Doing: You will be directly responsible for training, evaluation, and deployment of our ML‑based scene understanding, behavior prediction, and planning models. Day‑to‑day responsibilities include:
Designing and executing high‑value experiments based on collaborative input from other machine learning engineers
Prototyping and implementing continuously improving metrics to evaluate the performance of our behavioral models across many desired scenarios and robotaxi capabilities
Timely release of major model updates, including analysis of both off‑line and on‑road evaluation data
Staying up to date with the latest trends in our fast moving industry, and proposing new architectures and network designs based on published literature
Maintaining a high quality training and evaluation code‑base, including portions of our training stack dedicated to dataset generation and evaluation
What We’re Looking For:
In‑depth understanding of common Machine Learning and Deep Learning algorithms
Experience designing, training, and analyzing neural networks for at least one of the following applications: motion planning, object detection, sensor fusion, motion prediction, and/or multi‑object tracking
Strong track record of tackling less well‑defined problems, and executing efficiently to deliver the successful outcome
Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, and testing methods
Experience with PyTorch or other Python‑based deep learning frameworks
Experience working with large data sets and deriving insights from data
Experience mentoring and collaborating with others
Education Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience
Bonus Points
PhD in machine learning, computer vision, or robotics vision
Experience working on autonomous vehicles or related fields
Experience in deploying models into real‑world environments
Strong programming skills in C++ and/or CUDA programming
This opportunity can support remote work within the United States, with occasional travel.
Working Conditions While performing the duties of this job, the employee is frequently required to convey and detect communication.
The employee occasionally required to remain stationary at times for up to 50% of working time, move in designated working areas; & operate and use office equipment.
The employee may occasionally move up to 50 pounds.
Salary Range $146,000 — $225,000 USD
Motional is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E‑Verify. All newly‑hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
#J-18808-Ljbffr