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Generative Ai Research Scientist Jobs (NOW HIRING)

The AI Research Scientist will contribute to webAI's development of next-generation AI models and ... Stay current on leading research in deep learning, generative AI, and distributed ML * Analyze ...

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About the Role We're looking for an AI Research Scientist to push the boundaries of how advanced AI can be applied in healthcare. You'll explore new modeling approaches, design novel architectures ...

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How much do generative ai research scientist jobs pay per year?

As of Sep 11, 2026, the average yearly pay for generative ai research scientist in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.

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Infographic showing various Generative Ai Research Scientist job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 85% Full Time, 11% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

Research Scientist, Agents for Science

Seattle, WA • On-site

Ai2
Software Development • 11 - 50 employees

Full-time

Re-posted 28 days ago


Job description

Job Summary:
Ai2 is a non-profit AI research institute focused on developing foundational AI research and innovation. The Research Scientist will drive the development of AI systems with deep reasoning capabilities, lead foundational research, and shape the strategic direction of agentic systems.
Responsibilities:
• Contribute to Ai2’s open source research environment to innovate, study and advance the science of generative AI and agentic systems.
• Take a leading role in building artifacts and implementing software systems with real-world impact
• Author and present high-quality scientific technical reports, papers, and presentations
• Collaborate with and learn from team members across Ai2, including scientists and engineers
• Mentor early-career researchers and interns on their projects
• Develop collaborative relationships with relevant academic, industrial, government, and standards organizations
Qualifications:
Required:
• A PhD focusing on machine learning, reasoning, natural language processing, or a related area, with expertise in one or more of the following: reinforcement learning, experimental methodology, language models, the science of deep learning, or efficient algorithms for deep learning.
• The ability to own and pursue a research agenda to improve AI model reasoning capabilities.
• Enthusiasm for collaboration and teamwork on ambitious projects aligned with company goals.
• Experience leading a team to solve analytical problems.
• Contributions to open-source research libraries and an interest in continuing such work.
Company:
We are a Seattle-based non-profit AI research institute founded in 2014 by the late Paul Allen. Founded in 2014, the company is headquartered in Seattle, USA, with a team of 201-500 employees. The company is currently Growth Stage.