PhD Student – AI Applied Researcher at General Motors

Herzliya, Tel Aviv District, Israel

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Not SpecifiedCompensation

InternshipExperience Level

Part TimeJob Type

UnknownVisa

Automotive, ResearchIndustries

Requirements

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

Responsibilities

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
Develop AI/RL technologies that will change the future of mobility
Collaborate with world-class universities / industry partners while publishing research outcomes internally and externally

Skills

Key technologies and capabilities for this role

AIReinforcement LearningRLComputer ScienceAlgorithmsResearch

Questions & Answers

Common questions about this position

What is the employment type for this PhD student position?

The position is part-time.

Where is this position located?

The role is based at GM Israel in Herzliya.

What qualifications are required for this role?

Candidates must be a PhD student in AI, reinforcement learning, computer science, engineering, physics, or a related field, with proven expertise in areas like deep learning, autonomous agents, or reinforcement learning, strong Python programming skills, and familiarity with AI/ML frameworks such as PyTorch or TensorFlow.

What does the team work on at GM Israel?

The team focuses on applied AI research for future vehicles, developing AI/RL technologies in areas like vehicle controls, connected cars, and advanced camera technologies, while collaborating with global teams, academia, and industry partners.

What makes a strong candidate for this PhD researcher role?

A strong candidate is a PhD student with proven AI/RL expertise, experience prototyping algorithms and handling large-scale data, strong Python and ML framework skills, plus industrial experience as an advantage, along with the ability to work in global teams.

General Motors

Designs, manufactures, and sells vehicles

About General Motors

General Motors designs, manufactures, and sells vehicles and vehicle parts, catering to individual consumers, businesses, and government entities. The company operates in both traditional internal combustion engine vehicles and the growing electric vehicle (EV) market, generating revenue through vehicle sales and financing services. GM stands out from competitors with its commitment to community service, sustainability, and diversity, as evidenced by a majority female Board of Directors. The company's goal is to balance traditional automotive manufacturing with technological advancements in electric and autonomous vehicles.

Detroit, MichiganHeadquarters

1908Year Founded

$486.7MTotal Funding

IPOCompany Stage

Automotive & Transportation, Financial ServicesIndustries

10,001+Employees

Benefits

Paid Vacation

Paid Sick Leave

Paid Holidays

Parental Leave

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

401(k) Company Match

401(k) Retirement Plan

Tuition Reimbursement

Student Loan Assistance

Flexible Work Hours

Discount on GM vehicles

Risks

Shutting down Cruise Robotaxi may affect investor confidence in GM's AV strategy.

Chevrolet Equinox EV recall could harm GM's safety reputation.

Leadership transition in design may disrupt continuity and brand identity.

Differentiation

GM's Dynamic Fuel Management system enhances fuel efficiency in traditional vehicles.

GM leads in board diversity with 55% women directors.

GM's pivot to personal autonomous vehicles aligns with consumer trends.

Upsides

Partnership with Nvidia boosts GM's autonomous vehicle technology capabilities.

Collaboration with ChargePoint expands EV charging infrastructure, enhancing consumer appeal.

Bryan Nesbitt's appointment as design head may bring innovation to GM's vehicle design.

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