PhD Student – AI Applied Researcher at General Motors

Herzliya, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

21 Feb, 26

Salary

0.0

Posted On

24 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI, Reinforcement Learning, Computer Science, Engineering, Physics, Deep Learning, Autonomous Agents, Large-Scale Multi-Agent Systems, Prediction, Distributed Optimization, Prototyping Algorithms, Software Implementation, Python, AI/ML Frameworks, Hands-On Experience

Industry

Motor Vehicle Manufacturing

Description

Job 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. GM is committed to Zero Emission, Zero Crashes and Zero Congestion vision. About the Group: General Motors R&D Lab in Israel is an applied research center focusing on creating and evaluating innovations for future vehicles. Our researchers conduct independent technical work, while initiating and leading collaborative projects with colleagues at academia and industry, both in Israel and globally. As a member of General Motors Research Labs, the Vehicle Controls group offers exciting opportunities for motivated researchers with outstanding capabilities to conduct research in applied AI for developing cutting edge, world changing technologies for GM’s future vehicles. We are seeking for a highly motivated and talented PhD student to join our team. What You Will Do As a part of the Research team, you will join a leading applied AI research team. You will develop AI/RL technologies that will change the future of mobility. You will collaborate with world-class universities / industry partners while publishing research outcomes internally and externally. Broader research areas include: Explore, invent, innovate, implement, evaluate and test algorithms as an independent yet integral member of a research team Identify research gaps, propose, plan and execute complex research projects Maintain state-of-the-art technical expertise in AI/RL Generate intellectual property, document results and publish papers Demonstrate strong interpersonal skills and ability to work in a team environment including cross-functional global teams Your Skills & Abilities (Required Qualifications) A PhD student in AI, reinforcement learning, computer science, engineering, physics, or a related field. Proven expertise in one or more of the following areas: deep learning, autonomous agents, large-scale multi-agent systems, prediction, distributed optimization, or reinforcement learning. Experience handling large-scale, high-dimensional data from diverse sources using advanced machine learning techniques. Demonstrated ability to prototype algorithms, as well as implement and test software on hardware platforms. Strong programming skills in Python and familiarity with common AI/ML frameworks (e.g., PyTorch, TensorFlow, sklearn, etc.). Hands-on experience is essential. Industrial experience – a significant advantage. About GM Our 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 Us We 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. Non-Discrimination and Equal Employment Opportunities General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: Our Company Our Culture How we hire Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM’s Talent Community (beamery.com). As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click “Apply Now” on the job posting of interest.

Responsibilities

As a part of the Research team, you will develop AI/RL technologies that will change the future of mobility. You will collaborate with world-class universities and industry partners while publishing research outcomes internally and externally.