ZipRecruiter

Log In

1

Generative Ai Phd Jobs (NOW HIRING)

Reality Defender

Audio/Multimodal AI PhD Intern

Investigate and propose new methods for detecting generative AI content, spanning audio, audio ... PhD student in a relevant technical field, preferably three or more years into the program

Nvidia

Solutions Architect, Generative AI

Santa Clara, CA

$74 - $97.50/hr

The Generative AI Partners Enablement Solutions Architect team is committed to leveraging advanced ... MS or PhD degree in Computer Science/Engineering, Machine Learning, Data Science, Electrical ...

JPMorgan Chase & Co

Generative AI - Lead

Manhattan, NY

$184K/yr

As a Lead, Generative AI Engineering in the Chief Data and Analytics Office , you will lead the ... PhD in a quantitative discipline such as Computer Science, Mathematics, or Statistics, or ...

JPMorgan Chase & Co.

Generative AI - Lead

Manhattan, NY · On-site

$164K - $260K/yr

As a Lead, Generative AI Engineering in the Chief Data and Analytics Office , you will lead the ... PhD in a quantitative discipline such as Computer Science, Mathematics, or Statistics, or ...

next page

Showing results 1-20

All JobsGenerative Ai Phd Jobs

Generative Ai Phd information

See salary details

$29K

$117.6K

$227.5K

How much do generative ai phd jobs pay per year?

As of Jun 9, 2026, the average yearly pay for generative ai phd in the United States is $117,556.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $169,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Generative AI PhD, and why are they important?

To thrive as a Generative AI PhD, you need deep expertise in machine learning, mathematics, and computer science, typically supported by a doctoral degree in a related field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and experience with large-scale data and cloud computing are essential. Strong research acumen, critical thinking, and the ability to clearly communicate complex ideas are vital soft skills for success in academic or industry settings. These skills drive innovative research, enable effective collaboration, and ensure impactful contributions to the rapidly evolving field of generative AI.

What are some common challenges faced when transitioning from academic research to an industry role as a Generative AI PhD?

One common challenge is adapting to faster-paced project timelines, as industry work often emphasizes practical results and product integration over long-term theoretical exploration. Additionally, collaboration across multidisciplinary teams—including software engineers, product managers, and designers—requires strong communication skills to translate complex research into actionable solutions. Many new hires also find it necessary to balance advancing the state-of-the-art with addressing immediate business needs, which can shift the focus from pure research to more applied problem-solving.

What is a Generative AI PhD?

A Generative AI PhD is a doctoral program focused on researching and developing artificial intelligence systems that can generate new content, such as text, images, music, or code. Students in this program study advanced machine learning techniques, including deep learning, neural networks, and probabilistic models. The goal is to push the boundaries of what AI can create, leading to innovations in fields like natural language processing, computer vision, and creative arts. Graduates often pursue careers in academia, research labs, or tech companies working on cutting-edge AI technologies.

What is the difference between Generative Ai Phd vs Machine Learning Engineer?

AspectGenerative Ai PhdMachine Learning Engineer
Required CredentialsPhD in AI, Computer Science, or related fieldBachelor's or Master's in CS, AI, or related field
Work EnvironmentResearch labs, academia, R&D departmentsTech companies, startups, industry projects
Employer & Industry UsageAcademic institutions, research firms, AI labsTech firms, software companies, AI product teams

Generative Ai Phds focus on advanced research, developing new models and theories in AI, often working in academic or research settings. Machine Learning Engineers implement AI models into products, working in industry environments to develop scalable solutions. While both roles require strong AI knowledge, the PhD emphasizes research depth, whereas the Engineer emphasizes application and deployment.

More about Generative Ai Phd jobs
What cities are hiring for Generative Ai Phd jobs? Cities with the most Generative Ai Phd job openings:
What states have the most Generative Ai Phd jobs? States with the most job openings for Generative Ai Phd jobs include:
What job categories do people searching Generative Ai Phd jobs look for? The top searched job categories for Generative Ai Phd jobs are:
Generative Ai Phd jobs near you
PhD Research Intern, Generative AI - 2026

PhD Research Intern, Generative AI - 2026

Nvidia

Santa Clara, CA

Full-time

Posted 12 days ago

Job description

AtNVIDIA, we are building Cosmos world foundation models and generative AI systems for Physical AI across robotics, autonomous driving, smart spaces, and embodied agents.

TheNVIDIA Cosmos Platformenables multimodal world understanding, simulation, synthetic data generation, and embodied reasoning. We are looking for outstanding PhD interns to help advance the frontier of Physical AI and world models.

What you'll be doing:

  • Conduct research in generative AI, multimodal foundation models, world models, and embodied AI.

  • Develop algorithms for video understanding/generation, action-conditioned simulation, multimodal reasoning, and policy learning.

  • Train and evaluate large-scale models using video, image, language, and robotics or autonomous driving data.

  • Collaborate with researchers and engineers across AI, robotics, simulation, and graphics teams.

  • Publish research at top conferences and transfer innovations into NVIDIA products.

What we need to see:

  • Currently pursuing a PhD in CS, EE, Robotics, or related fields.

  • Strong background in generative AI, computer vision, multimodallearning, robotics, or reinforcement learning.

  • Prior publication record and research experience.

  • Strong Python and PyTorch skills.

Ways to stand out from the crowd:

  • Experience with large-scale foundation model training.

  • Research in video models, VLMs, world models, robotics, or autonomous driving.

  • Experience with distributed training, simulation, or embodied AI.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 30 USD - 94 USD.

You will also be eligible for Internbenefits.

Applications for this job will be accepted at least until May 31, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

View All Nvidia Jobs

Apply