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Generative Ai Researcher Jobs in California (NOW HIRING)

Hum AI

AI Researcher

San Francisco, CA · On-site

AI Researcher Location: San Francisco About Hum.ai Hum.ai is building planetary superintelligence ... Join us at the cutting edge, where we're scaling generative transformer diffusion models, designing ...

Hume AI

AI Researcher

San Jose, CA · On-site +1

$180K - $350K/yr

Hume AI is seeking talented AI researchers interested in working with our team to build ... generative) Application Note Please apply only to the position that best aligns with your ...

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 top academic institutions, publish in premier AI conferences, and work closely with product and ...

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 top academic institutions, publish in premier AI conferences, and work closely with product and ...

Symhas

Generative AI Lead

Pleasanton, CA · On-site

$185K/yr

Manage and mentor a team of AI engineers and researchers Requirements * 10+ years of AI/ML or software engineering experience * Demonstrated expertise in building and deploying Generative AI ...

1X Technologies AS

AI Researcher

San Carlos, CA · On-site

$250K - $350K/yr

About the Lab The 1X World Model Lab is an embodied AI research organization focused on pretraining ... Model and Data Build large multi-modal generative world models that learn from robot experience ...

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Generative Ai Researcher information

What are some common challenges generative AI researchers face when transitioning models from research to production environments?

Generative AI Researchers often encounter challenges when moving models from experimental research settings into real-world production. These challenges include ensuring models are robust to diverse, unseen data, optimizing for computational efficiency, and addressing potential biases or ethical concerns present in generated outputs. Collaboration with engineering teams is key to deploying scalable solutions, while ongoing monitoring is necessary to maintain model performance and compliance. Researchers should be prepared to iterate on their models post-deployment based on feedback and real-world results.

What does a generative AI researcher do?

A Generative AI Researcher studies and develops artificial intelligence models that can create new content such as text, images, music, or code. They work on advancing algorithms like generative adversarial networks (GANs), variational autoencoders (VAEs), and large language models to improve their performance and applications. Their work often involves designing experiments, analyzing data, publishing research, and collaborating with other scientists and engineers to push the boundaries of AI creativity and utility.

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

AspectGenerative Ai ResearcherMachine Learning Engineer
CredentialsAdvanced degrees in AI, Computer Science, or related fields; research experienceDegree in Computer Science, Data Science, or related fields; coding skills
Work EnvironmentResearch labs, academia, R&D departmentsTech companies, startups, product teams
Industry UsageFocus on developing generative models like GANs, VAEs, transformersImplementing ML models for various applications, including generative tasks

While both roles involve AI and machine learning, Generative Ai Researchers primarily focus on developing new generative models and advancing AI research, often working in academic or research settings. Machine Learning Engineers typically implement and deploy ML models in production environments across industries. The roles overlap in skills and tools but differ in their core focus and work environment.

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

To thrive as a Generative AI Researcher, you need a strong background in computer science, mathematics, and machine learning, typically supported by an advanced degree (Master's or PhD) in a relevant field. Proficiency in programming languages such as Python, experience with deep learning frameworks like TensorFlow or PyTorch, and familiarity with research tools and publication processes are essential. Creative problem-solving, critical thinking, and effective collaboration skills help researchers innovate and communicate complex ideas. These skills and qualities are crucial for advancing AI technologies, publishing impactful research, and driving progress in this rapidly evolving field.
What are popular job titles related to Generative Ai Researcher jobs in California? For Generative Ai Researcher jobs in California, the most frequently searched job titles are:
What job categories do people searching Generative Ai Researcher jobs in California look for? The top searched job categories for Generative Ai Researcher jobs in California are:
What cities in California are hiring for Generative Ai Researcher jobs? Cities in California with the most Generative Ai Researcher job openings:
Generative Ai Researcher jobs near you
Infographic showing various Generative Ai Researcher job openings in California as of August 2026, with employment types broken down into 76% Full Time, 19% Part Time, 2% Temporary, and 3% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution.

Senior Research Scientist, Fundamental Generative AI

NVIDIA

Santa Clara, CA • On-site

$115K - $147K/yr

Full-time

Re-posted 10 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

Job description

Job Summary:
NVIDIA is searching for a world-class generative AI researcher to join the fundamental generative AI research team at NVIDIA Research. The role focuses on advancing generative AI methods for biomolecular design and conducting groundbreaking research within a collaborative team. You will be responsible for researching, designing, and implementing novel generative AI methods while publishing original research and collaborating with various teams.
Responsibilities:
• Research, design, and implement novel, large-scale generative AI methods.
• Publish original research.
• Collaborate with team members, research teams, as well as product teams.
• Speak at conferences and events.
• Transfer technology to product groups.
Qualifications:
Required:
• A Ph.D. in Computer Science/Engineering, Statistics, etc. (or equivalent experience). 2+ years of relevant industry or postdoc research experience.
• Excellent knowledge of the theory and practice of generative AI.
• Experience in building generative models for molecules, molecular dynamics, proteins, RNA, or other scientific data.
• Excellent programming skills in some prototyping environments such as Python; C++ and parallel programming (e.g., CUDA).
• Knowledge of deep learning frameworks, such as PyTorch.
• Outstanding research track record.
• Excellent interpersonal skills.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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

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