Machine Learning Engineer

About the Team

Join our AI Research team, a pioneering group directly reporting to the Chief AI Officer. We are at the forefront of transforming vehicle design, manufacturing, and user experience through cutting-edge machine learning. Our projects are focused on integrating multimodal foundation models, generative AI, robotics, and predictive maintenance into automotive innovations at a global scale.

The Role

As a Machine Learning Engineer, you will play a crucial role in developing advanced AI/ML systems to tackle significant challenges in robotics and manufacturing. You will collaborate with experienced engineers and researchers to design, prototype, and deploy innovative AI models that enhance vehicle design, manufacturing processes, robotics, and simulations of physical systems. Your contributions will directly influence GM's AI research initiatives and engage with the wider AI research community.

What You'll Do

• Adapt machine learning architectures for advanced industrial applications like computer vision, robotic manipulation, predictive maintenance, and process optimization.
• Build comprehensive deep learning pipelines that process multi-modal sensor data (e.g., vision, force/torque, proprioception, and environmental sensors).
• Contribute to the development of foundation models and transfer learning frameworks that apply across various industrial scenarios and equipment types.
• Help create data collection and annotation strategies to develop high-quality datasets for training and validating models.
• Collaborate with teams to translate technical requirements into machine learning solutions and facilitate integration.
• Manage the deployment and monitoring of machine learning models in production settings.
• Publish research findings in leading conferences (such as NeurIPS, ICML, CVPR) to bolster GM's presence in the research field.

Required Qualifications

• PhD in a relevant discipline or a Master's degree with substantial experience in AI/ML.
• In-depth knowledge of modern deep learning architectures, including Transformers, Diffusion Models, and CNNs.
• Strong hands-on experience with at least one major AI/ML framework (like PyTorch, Tensorflow, Keras, or JAX).
• Proficiency in Python programming and familiarity with one or more systems languages (C++/Java).
• A demonstrated track record of publications in top AI/ML conferences or patents showcasing innovative contributions.
• Ability to derive research questions from complex problems and apply rigorous experimental methodologies, including hypothesis testing and statistical analysis.
• Able to commit to full-time employment, 40 hours per week.

Preferred Qualifications

• Experience with anomaly detection and predictive maintenance applications through coursework, research, or projects.
• Experience with reinforcement learning for robotic control or process optimization through relevant work or research.
• Experience in training multimodal deep learning models.
• Research contributions in AI/ML showcased through publication of PhD work in leading conferences or journals.

Compensation

The estimated salary range for this role is $130,000 - $170,000, reflecting what a successful applicant may earn according to state regulations. The final salary offered will align with this range based on relevant factors.

Bonus Potential

Participate in an incentive program offering payouts linked to company performance, job level, and individual achievements.

What You'll Get From Us (Benefits)

GM provides a variety of health and wellness benefit programs, including medical, dental, vision, retirement savings plans, paid time off, tuition assistance, and discounts on GM vehicles.

About GM

Our vision is to create a world with Zero Crashes, Zero Emissions, and Zero Congestion. We are dedicated to leading the change that will make our world safer and more equitable.

Why Join Us

We believe in the importance of meaningful change through our culture and actions. Everyday, we strive to ensure every GM employee feels a sense of belonging within our team.

Inclusivity and Equal Opportunity

General Motors is committed to a workplace free of discrimination and one that promotes inclusion and belonging. We value diversity and believe that a comprehensive approach to inclusion results in better products and a thriving work environment.

Accommodations

GM is dedicated to offering equal opportunities to all job seekers, including those with disabilities. If you require assistance or accommodation in your job search or application process, please contact us and share the specific accommodation needed along with the job title and requisition number.