General Motors of Canada
Staff Research Scientist
General Motors of Canada, California, Missouri, United States, 65018
Employer Industry: Automotive and Technology
Why consider this job opportunity:
Salary range up to $304,800
Bonus potential based on company and individual performance
Comprehensive health and wellbeing benefits, including medical, dental, and vision coverage
Opportunities for career advancement and professional growth within a leading automotive company
Flexible remote work options with occasional in-office requirements
Participation in a company vehicle evaluation program with access to a General Motors vehicle
What to Expect (Job Responsibilities):
Research, design, and prototype advanced machine learning approaches for autonomous driving
Influence technical roadmaps and align strategic machine learning priorities with product milestones
Provide technical mentorship and vision to engineering teams
Collaborate with multidisciplinary engineering groups to foster machine learning innovation
Represent the employer through publications, patents, and participation in top conferences
What is Required (Qualifications):
Ph.D. in Machine Learning, Robotics, Computer Science, Electrical Engineering, or a related technical field
5+ years of experience in AI/ML research and applied development
Deep expertise in modern machine learning architectures (transformers, generative AI, multimodal systems)
Strong programming skills in Python
Excellent communication, collaboration, and mentoring abilities
How to Stand Out (Preferred Qualifications):
Demonstrated research impact in AI/ML technologies through publications in top conferences or contributions to industry-leading systems
Experience in autonomous vehicles (AV) or advanced driver‑assistance systems (ADAS)
#Automotive #MachineLearning #AIResearch #RemoteWork #CareerGrowth
We prioritize candidate privacy and champion equal‑opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top‑tier employer.
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Why consider this job opportunity:
Salary range up to $304,800
Bonus potential based on company and individual performance
Comprehensive health and wellbeing benefits, including medical, dental, and vision coverage
Opportunities for career advancement and professional growth within a leading automotive company
Flexible remote work options with occasional in-office requirements
Participation in a company vehicle evaluation program with access to a General Motors vehicle
What to Expect (Job Responsibilities):
Research, design, and prototype advanced machine learning approaches for autonomous driving
Influence technical roadmaps and align strategic machine learning priorities with product milestones
Provide technical mentorship and vision to engineering teams
Collaborate with multidisciplinary engineering groups to foster machine learning innovation
Represent the employer through publications, patents, and participation in top conferences
What is Required (Qualifications):
Ph.D. in Machine Learning, Robotics, Computer Science, Electrical Engineering, or a related technical field
5+ years of experience in AI/ML research and applied development
Deep expertise in modern machine learning architectures (transformers, generative AI, multimodal systems)
Strong programming skills in Python
Excellent communication, collaboration, and mentoring abilities
How to Stand Out (Preferred Qualifications):
Demonstrated research impact in AI/ML technologies through publications in top conferences or contributions to industry-leading systems
Experience in autonomous vehicles (AV) or advanced driver‑assistance systems (ADAS)
#Automotive #MachineLearning #AIResearch #RemoteWork #CareerGrowth
We prioritize candidate privacy and champion equal‑opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top‑tier employer.
#J-18808-Ljbffr