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Generative Ai Phd Jobs (NOW HIRING)

Cotiviti

Intern - Generative AI Research Engineer

$32 - $40/hr

Overview The Generative AI Research Engineer Intern conducts primary and secondary research of ... of a PhD. * Demonstrated interest or experience in AI, healthcare technology, or informatics ...

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$117.6K

$227.5K

How much do generative ai phd jobs pay per year?

As of Jul 14, 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
Infographic showing various Generative Ai Phd job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $117,556 per year, or $56.5 per hour.

Senior Applied Scientist -- Generative AI & Scalable Systems

Jobtailor

Seattle, WA • On-site

$104K - $142K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Jobtailor is seeking a senior AI research professional to drive the research, development, and refinement of generative AI and deep learning models. Collaborate with scientists, engineers, and product leaders to build scalable AI solutions and ensure impactful product outcomes in a fast-moving environment.

The role requires a PhD in Computer Science or Artificial Intelligence and 7+ years of applied AI research, with hands-on design and deployment of agentic AI systems using Python and C++.

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