Senior Machine Learning Engineer - Prediction

Motional; Boston (MA); Hybrid; USD 146,000 - 225,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision coverage

401k with company match

Life insurance

Pet insurance

Job summary

Motional in Boston, MA, is seeking a Machine Learning Engineer to work on self-driving technologies. This role offers a unique opportunity to contribute to the future of autonomous driving and is ideal for someone passionate about ML and robotics.

In this position, you will oversee the training and deployment of machine learning models while collaborating with a talented team of engineers to advance the technology behind robotaxis.

With a competitive salary range of $146,000 – $225,000 USD, this position also offers excellent benefits including medical, dental, vision, and 401k contributions.

Qualifications

• In-depth understanding of common Machine Learning and Deep Learning algorithms.
• Experience designing, training, and analyzing neural networks for various applications.
• Strong track record of tackling less well-defined problems.

Responsibilities

• Training, evaluation, and deployment of ML-based models.
• Designing and executing high-value experiments.
• Prototyping and implementing metrics for behavioral models.

Skills

Machine Learning algorithms

Deep Learning algorithms

Neural networks

Python

C++

Education

Masters or PhD in Machine Learning, Computer Science, or related field

Tools

PyTorch

Job description

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

• Publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.)
• 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

• Frequently required to convey and detect communication
• Occasionally required to remain stationary for up to 50% of working time and required to move in designated working areas; operate and use office equipment
• May occasionally move up to 50 pounds

Salary Range

The salary range for this role is approximately $146,000 – $225,000 USD.

Benefits

Benefits include medical, dental, vision, 401k with a company match, health savings accounts, life insurance, pet insurance, and more.

EEO Statement

Motional AD Inc. 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.