Description GM Israel (Herzliya) takes a significant part in introducing sophisticated software features into car in many domains like connected cars, advanced camera technologies and research. We shape the face of the future vehicles in diverse fields by developing cutting edge technologies that define how drivers experience safety, awareness, and confidence on the road.
GM is committed to Zero Emission, Zero Crashes and Zero Congestion vision.
About the Group: At the autonomous vehicles
Foundational AI Research team in Israel, which is part of the GM AV
AI Research organization , we are shaping
next-generation autonomous driving, L3 and
beyond . The AI Research organization is dedicated to advancingthe state-of-the-artin AI for autonomous vehicles. We are a collaborative, forward-thinking group of researchers and engineers tackling some of the most complex challenges in autonomy and machine learning.
The mission of the
AI Research group based in the US,
is to create groundbreaking technologies for next-generation
autonomous vehicles by combining cutting-edge research with real-world innovation and technology incubation. Among several
initiatives , we are building
multimodal foundation models (vision-language-action) over
fleet- and internet-scale data, and we are building
controllable world models that generate realistic, multi-sensor driving data (camera, radar, LiDAR) to
strengthen coverage and accelerate long-tail reduction for our L3 autonomy product.
About the Role This position is limited to the
three-month .
Students are expected to work full-time in a hybrid setup, including at least three onsite days per week.
As an AI/ML Research Intern on the AI Research team,you'llwork oncutting-edgeprojects advancing vehicle autonomy, developing algorithms and models that shape the future of self-driving technology. Thisinternship provides experience with real-world AI/ML systems, collaboration with leading researchers and engineers, and mentorship from experienced AV researchers to grow your skills in the autonomous vehicle industry.
What will YOU do? - Lead research and prototyping of advanced machine learning methods, such as foundation models, vision-language architectures, diffusion models, image/video generation, self-supervised learning, imitation learning, and reinforcement learning.
- Prototype ML models that improveperception, prediction, or decision-making for autonomous driving.
- Collaborate with cross-functional teams, includingperception, robotics, and systems engineering.
- Participate in technical discussions, share insights, and work towards publishing results.
Your Skills & Abilities (Required Qualifications) - Currently pursuing orin the process of obtainingaPh.D. in Machine Learning, Artificial Intelligence, Computer Science, or a related technical field
- Able to work fulltime during the academic summer break
- Solid understanding of modern machine learning techniques, especially deep learning architectures (e.g., transformers, generative models, multimodal learning)
- Proficiencyin Python and ML frameworks such asPyTorchor TensorFlow
- Research experience in AI/ML,demonstratedthrough coursework, academic projects, or publications
What Can Give You a Competitive Edge (Preferred Qualifications) - Intent to return to degree program after the completion of the internship
- Familiarity with autonomous vehicles or advanced driverassistancesystems (ADAS)
- Experience working with large-scale datasets and training ML models in high-performance computing environments.
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such asNeurIPS, CVPR, ICML, ICLR, AAAI, ECCV, RSS, ICRA,CoRL, or similar.
- Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches
- Experience building systems based on machine learning, reinforcementlearningand/or deep learning methods
About GMOur vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join UsWe believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
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