Summer Intern - AI/ML Intern - Sensor Encoder (PhD Level)

To facilitate administration of relocation benefits if selected, please apply using the permanent address from which you would move.

Work Arrangement:

This internship is offered in a hybrid format. The chosen intern is expected to report to the office up to three times per week or as determined by the team.

About the Team:

The Sensor Encoder team is at the forefront of innovation in AI for autonomous vehicles, focusing specifically on encoders for camera, lidar, and radar. Our collaborative group of researchers and engineers is dedicated to tackling the complex challenges related to autonomy and machine learning in sensor data processing.

About the Role:

As an intern on the sensor encoder team, you will engage in groundbreaking projects that advance vehicle autonomy. You will develop algorithms and models that influence the future of self-driving technology. This internship offers you the opportunity to work with real-world AI/ML systems, collaborate alongside leading experts, and benefit from mentorship tailored to enhance your skills in the autonomous vehicle industry.

Your Responsibilities Include:

Leading research and prototyping of advanced machine learning methods, including foundation models, vision-language architectures, and self-supervised learning.

Prototyping ML models to enhance perception, prediction, or decision-making capabilities for autonomous driving.

Collaborating with cross-functional teams that include research, robotics, and systems engineering.

Participating in technical discussions to share insights and working towards publishing your results.

Required Qualifications:

Currently enrolled in or pursuing a Ph.D. in Machine Learning, Artificial Intelligence, Computer Science, or a related field.

Deep understanding of modern machine learning techniques, particularly deep learning architectures (e.g., transformers, generative models, multimodal learning).

Proficient in Python and ML frameworks such as PyTorch or TensorFlow.

Research experience in AI/ML, as demonstrated through coursework, academic projects, or publications.

Strong problem-solving abilities and a collaborative mindset.

Excellent communication and presentation skills.

Ability to work effectively in a team and communicate cross-functionally.

Able to commit to full-time work, 40 hours per week.

Preferred Qualifications:

Familiarity with autonomous vehicles or advanced driver assistance systems (ADAS).

Experience working with large-scale datasets and training ML models in high-performance computing environments.

Intent to return to your degree program post-internship/co-op.

A proven track record of significant achievements, such as grants, fellowships, patents, or first-authored publications in leading conferences (e.g., NeurIPS, CVPR, ICML).

Demonstrated experience and motivation in solving analytical problems with quantitative methods.

Expected graduation between December 2026 and June 2027.

Compensation:

The monthly salary for this role is $13,100.

GM will also provide a one-time taxable stipend to eligible students selected for the 2026 Student Program.

What You’ll Gain from Us (Benefits):

Paid US GM Holidays.

GM Family First Vehicle Discount Program.

Potential for growth within GM based on performance.

Opportunities to network with company leaders and peers through intern events.

About GM

We envision a future with Zero Crashes, Zero Emissions, and Zero Congestion, and we are committed to leading the change to improve safety, equity, and sustainability in our world.

Why Join Us

Each day presents an opportunity to drive meaningful change in our words and actions. We aspire for all employees to feel a sense of belonging within the General Motors team.

Non-Discrimination and Equal Employment Opportunities:

General Motors is dedicated to creating a workplace that is free from discrimination and promotes inclusion and belonging. We are committed to equitable employment opportunities for all applicants.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills. It may be necessary for applicants to successfully complete assessments or screenings as part of the recruitment process.

Accommodations

General Motors welcomes all job seekers, including those with disabilities. If you require a reasonable accommodation for your job search or application process, please contact us via email or direct inquiry, specifying the accommodation needed alongside the job title and requisition number.

At GM, we strive to lead change through technology and harness the creativity of our diverse team to transform mobility.