Design and implement ML solutions aligned with GM’s autonomous driving objectives.
Apply techniques such as unsupervised pre-training, imitation learning, reinforcement learning, model scaling/selection, foundation modeling, to solve problems in object detection/tracking/classification, trajectory generation, and safe AI.
Collaborate with cross-functional teams to deploy models and algorithms into onboard driving systems.
Contribute to applied research efforts and remain current with advancements in ML frameworks and methods.
Design and build efficient infrastructure, pipelines, and tooling to facilitate fast-pace model iterations.
Drive technical execution from prototyping through production deployment, documenting learnings and best practices.
Support and mentor engineers through technical collaboration and code reviews, fostering knowledge sharing and engineering excellence.

Requirements

Bachelor’s, Master’s, or PhD in Computer Science, Robotics, Machine Learning, or related field.
Experience working with large-scale foundation models and alignment methods applied to real-world systems.
Demonstrated ability to deliver applied ML solutions under real-world constraints and timelines.
Proficiency in PyTorch and Python.
Experience building and scaling model training pipelines enabling efficient iteration across teams.
Strong data processing skills using tools such as NumPy, Pandas, and Apache Spark.
Strong communication skills enabling effective collaboration across engineering teams.
Experience deploying ML models into production environments and understanding end-to-end deployment workflows.
Experience in robotics or autonomous driving systems preferred.

Benefits

medical
dental
vision
Health Savings Account
Flexible Spending Accounts
retirement savings plan
sickness and accident benefits
life insurance
paid vacation & holidays
tuition assistance programs
employee assistance program
GM vehicle discounts

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningunsupervised pre-trainingimitation learningreinforcement learningmodel scalingobject detectiontrajectory generationPyTorchPythondata processing

Soft Skills

communicationcollaborationmentoringtechnical executionknowledge sharingengineering excellence

Certifications

Bachelor's degreeMaster's degreePhD