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Machine Learning For Materials Research Scientist Jobs

By applying to this role, you will be considered for Research Scientist roles across all teams at OpenAI. About The Role As a Research Scientist here, you will develop innovative machine learning ...

Propose and prototype AI and Machine Learning solutions that address use cases in 1910's design ... documentation for roadmaps, proposals, and related materials Nice to Haves * Past experience ...

$72K - $92K/yr

Join Axon and be a Force for Good. At Axon, we're on a mission to Protect Life. We're explorers ... and machine learning (CVML). As a research scientist at Axon you will play a crucial role in ...

The position will involve machine learning for autonomous thin-film materials synthesis, including ... D. in Materials Science and Engineering, Computer Science, Electrical Engineering, Physics, or a ...

... and machine learning. The role focuses on developing quantum algorithms for simulating physical ... Demonstrate quantum algorithms on real-world applications in physics, chemistry, and materials ...

CloudTune is looking for a Research Scientist to join our forecasting and optimization team. The team develops sophisticated algorithms that combine machine learning-based demand forecasting with ...

CloudTune is looking for a Research Scientist to join our forecasting and optimization team. The team develops sophisticated algorithms that combine machine learning-based demand forecasting with ...

Showing results 41-60

Machine Learning For Materials Research Scientist information

See salary details

$50.5K

$130.1K

$174K

How much do machine learning for materials research scientist jobs pay per year?

As of Sep 14, 2026, the average yearly pay for machine learning for materials 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.

What are popular job titles related to Machine Learning For Materials Research Scientist jobs?

For Machine Learning For Materials Research Scientist jobs, the most frequently searched job titles are:

Infographic showing various Machine Learning For Materials Research Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

Research Scientist

San Francisco, CA โ€ข On-site

Other

Posted 27 days ago


Job description

By applying to this role, you will be considered for Research Scientist roles across all teams at OpenAI.
About The Role
As a Research Scientist here, you will develop innovative machine learning techniques and advance the research agenda of the team you work on, while also collaborating with peers across the organization. We are looking for people who want to discover simple, generalizable ideas that work well even at large scale, and form part of a broader research vision that unifies the entire company.
We Expect You To

  • Have a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects.
  • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects.
  • Be excited about OpenAIโ€™s approach to research.
Nice To Have
  • Interested in and thoughtful about the impacts of AI technology.
  • Past experience in creating high-performance implementations of deep learning algorithms.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. #J-18808-Ljbffr