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Generative Ai Phd Jobs (NOW HIRING)

Google

Senior Software Engineer, Generative AI

Sunnyvale, CA · On-site

$143K - $188K/yr

They are seeking a Senior Software Engineer specializing in Generative AI to manage project ... Preferred : • Master's degree or PhD in Computer Science or related technical field. • 5 years ...

Cotiviti

$32 - $40/hr

... of a PhD. * Demonstrated interest or experience in AI, healthcare technology, or informatics ... Strong foundational knowledge in generative AI model development, architectures, and vector ...

Cotiviti

Intern - Generative AI/Agentic AI/Research

$32 - $40/hr

... of a PhD. * Demonstrated interest or experience in AI, healthcare technology, or informatics ... Strong foundational knowledge in generative AI model development, architectures, and vector ...

JP Morgan Chase

Generative AI - Lead

Manhattan, NY · On-site

$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 ...

Visa

Head of Generative AI Research

Foster City, CA · On-site

As Head of Generative AI Research, you will shape Visa's GenAI research agenda, collaborate with ... Masters, MBA, JD, or MD), PhD with 9+ years of experience. U.S. Applicants Only The estimated ...

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 ...

Visa

Head of Generative AI Research

Foster City, CA · Hybrid

As Head of Generative AI Research, you will shape Visa's GenAI research agenda, collaborate with ... Masters, MBA, JD, or MD), PhD with 9+ years of experience. U.S. Applicants Only The estimated ...

Cotiviti

$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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Generative Ai Phd information

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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.

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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
Machine Learning Engineer - Generative AI

Machine Learning Engineer - Generative AI

Qualcomm

San Diego, CA • On-site

Full-time

Posted 22 days ago

Qualcomm rating

9.6

Company rating: 9.6 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

4th of 186 rated software companies

Job description

Job Summary:
Qualcomm Technologies, Inc. is seeking an experienced Machine Learning Engineer specializing in Generative AI to join their core AI team. The role involves designing, developing, and deploying cutting-edge generative AI solutions, focusing on Large Language Models and intelligent agent systems.
Responsibilities:
• Design and implement RAG-based solutions to enhance LLM capabilities with external knowledge sources
• Develop and optimize LLM fine-tuning strategies for specific use cases and domain adaptation
• Create robust evaluation frameworks for measuring and improving model performance
• Build and maintain agentic workflows for autonomous AI systems
• Collaborate with cross-functional teams to identify opportunities and implement AI solutions
Qualifications:
Required:
• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Software Engineering, Electrical Engineering, or related work experience.
• OR Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 1+ year of Software Engineering, Electrical Engineering, or related work experience.
• OR PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.
• Bachelor's or Master's degree in Computer Science, or related technical field
• 3+ years of experience in Machine Learning/AI engineering
• Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow)
• Practical experience with LLM deployments and fine-tuning
• Experience with vector databases and embedding models
• Familiarity with modern AI/ML infrastructure and cloud platforms (AWS, GCP, Azure)
• Strong understanding of RAG architectures and implementation
Preferred:
• Experience with popular LLM frameworks (Langchain, LlamaIndex, Transformers)
• Knowledge of prompt engineering and chain-of-thought techniques
• Experience with containerization and microservices architecture
• Background in Reinforcement Learning
• Contributions to open-source AI projects
• Experience with ML ops and model deployment pipelines
Company:
Qualcomm designs wireless technologies and semiconductors that power connectivity, communication, and smart devices. Founded in 1985, the company is headquartered in San Diego, USA, with a team of 10001+ employees. The company is currently Late Stage.
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About Qualcomm

Sourced by ZipRecruiter

Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Our powerful connectivity solutions keep you connected—even in remote areas. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1985

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