Senior ML Engineer - Autonomous Driving & Robotaxi

Motional; United States; Hybrid; USD 146,000 - 225,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

401k with company match

Life and pet insurance

Health savings accounts

Job summary

A groundbreaking autonomous vehicle technology company is seeking skilled engineers to lead the training and evaluation of machine learning models for scene understanding and behavior prediction. Candidates should have a Master’s or PhD in a relevant field, strong programming skills, and a passion for autonomous driving. This role offers competitive compensation and a collaborative environment where innovation flourishes.

Qualifications

• Masters or PhD degree in a relevant field or equivalent experience.
• Strong experience in neural network applications.
• Proven problem-solving capabilities in machine learning.
• Proficiency in designing and implementing software solutions.

Responsibilities

• Train and evaluate ML-based scene understanding models.
• Design high value experiments with other engineers.
• Release major model updates based on evaluation data.
• Stay updated with industry trends and propose new designs.
• Maintain a high-quality training and evaluation code base.

Skills

In-depth understanding of common Machine Learning and Deep Learning algorithms

Experience designing, training, and analyzing neural networks

Strong track record of tackling less well-defined problems

Advanced knowledge of software engineering principles

Experience with PyTorch or other python-based deep learning frameworks

Experience working with large data sets

Experience mentoring and collaborating with others

Education

Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or related field

Tools

PyTorch

C++

CUDA programming

Job description

A groundbreaking autonomous vehicle technology company is seeking skilled engineers to lead the training and evaluation of machine learning models for scene understanding and behavior prediction. Candidates should have a Master’s or PhD in a relevant field, strong programming skills, and a passion for autonomous driving. This role offers competitive compensation and a collaborative environment where innovation flourishes.