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Generative Ai Researcher Jobs (NOW HIRING)

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 ...

Conduct research in ML for scientific and engineering applications, including (but not limited to) generative modeling, spatiotemporal learning, operator learning, and AI-assisted scientific ...

Lead Generative AI Developer

New York, NY · On-site

$64.50 - $84.50/hr

Collaborate with top talent in software development, AI research, and engineering. * Shape the future of Generative AI applications in a rapidly evolving field. If you're excited to lead AI-driven ...

The AI Researcher will be responsible for advancing the robot's intelligence by building AI systems ... modal generative models, world models, diffusion models, or autoregressive architectures • ...

Architect scalable data pipelines that combine high-fidelity simulation, generative AI, and real-world data collection to fuel large-scale model training. * Collaborate with global research teams and ...

$32 - $40/hr

Overview The Generative AI Research Engineer Intern conducts primary and secondary research of advanced and emerging healthcare informatics technology with a focus on Generative AI and emerging ...

$32 - $40/hr

Overview The Generative AI Research Engineer Intern conducts primary and secondary research of advanced and emerging healthcare informatics technology with a focus on Generative AI and emerging ...

Overview The Generative AI Research Engineer Intern conducts primary and secondary research of advanced and emerging healthcare informatics technology with a focus on Generative AI and emerging ...

Generative AI Architect

Charlotte, NC · On-site

$61.50 - $81/hr

Generative AI Architect Location: Charlotte, NC (Onsite from Day 1) Job Type: Contract Skill ... This is a highly collaborative role that bridges client needs, R&D innovation, and enterprise-grade ...

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Generative Ai Researcher information

See salary details

$30K

$113.1K

$164.5K

How much do generative ai researcher jobs pay per year?

As of Jun 20, 2026, the average yearly pay for generative ai researcher in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

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.
More about Generative Ai Researcher jobs
What cities are hiring for Generative Ai Researcher jobs? Cities with the most Generative Ai Researcher job openings:
What states have the most Generative Ai Researcher jobs? States with the most job openings for Generative Ai Researcher jobs include:
Infographic showing various Generative Ai Researcher job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Hybrid job distribution, with an average salary of $113,102 per year, or $54.4 per hour.
AI Researcher

AI Researcher

Hume AI

San Jose, CA • On-site, Remote

$180K - $350K/yr

Full-time

Posted 2 days ago


Job description

Hume AI is seeking talented AI researchers interested in working with our team to build state-of-the-art speech-language models (SLMs). Our new SLM training method-reinforcement learning from human expression (RLHE)-learns human preferences from behavior in millions of audio and video recordings, making SLMs superhumanly helpful, interesting, funny, eloquent, honest, and altruistic. Join us in the heart of New York City and contribute to our endeavor to ensure that AI is guided by human values, the most pivotal challenge (and opportunity) of the 21st century.
About Us
Hume AI is a Series B startup dedicated to building artificial intelligence that is directly optimized for human well-being. As the first company to release speech language models, we're focused on expanding our research to encompass audio understanding models and evaluation platforms for enterprises.
Our goal is to enable a future in which technology draws on an understanding of human emotional expression to better serve human goals. As part of our mission, we also conduct groundbreaking scientific research, publish in leading scientific journals like Nature, and support a non-profit, The Hume Initiative, that has released the first concrete ethical guidelines for empathic AI (www.thehumeinitiative.org). You can learn more about us on our website (https://hume.ai/) and read about us in WIRED, Forbes, and Venturebeat.
About the Role
We are looking for talented researchers with relevant publications, 2+ years of experience in a research role in industry, and/or a proven track record of contributions to open source language, audio, or video models. (A PhD is neither necessary nor sufficient.) We're looking for someone excited to work with our team to build state-of-the-art audio models and evaluation tools. In this role, you will build out software systems that support distributed model training, inference, and benchmarking as well as massive-scale data collection, storage, preprocessing, and analysis. You will be working to solve some of today's most exciting AI research problems at industry scale.
Requirements
  • Expertise in the Python ecosystem and popular ML libraries and tools (e.g. PyTorch)
  • Experience writing robust and maintainable production-ready code
  • Comfort iterating quickly on new and uncertain research directions
  • 2+ years of experience contributing to the training and/or fine-tuning of models with large-scale datasets of text, audio, image, and/or video data (predictive or generative)

Application Note
Please apply only to the position that best aligns with your qualifications. If you submit multiple applications or have applied within the past 6 months, only your initial submission will be considered.
Annual Salary
$180,000-$350,000 USD

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About Hume AI

Sourced by ZipRecruiter

Industry

Scientific research and development services

Company size

1 - 10 Employees

Headquarters location

New York, NY, US

Year founded

2021

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