{"schemaVersion":"jobsearcher.job.v1","id":"d6d504ef710d41196691aa7e","url":"https://jobsearcher.com/jobs/d6d504ef710d41196691aa7e","canonicalUrl":"https://jobsearcher.com/jobs/d6d504ef710d41196691aa7e","title":"Applied Scientist, AGI","description":"DESCRIPTION\nThe Artificial General Intelligence (AGI) team is looking for a highly skilled and experienced Applied Scientist, to support the development and implementation of state-of-the-art algorithms and models for supervised fine-tuning and reinforcement learning through human feedback and and complex reasoning; with a focus across text, image, and video modalities.\n\nAs an Applied Scientist, you will play a critical role in supporting the development of Generative AI (Gen AI) technologies that can handle Amazon-scale use cases and have a significant impact on our customers' experiences.\n\nKey job responsibilities\n\nCollaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in Gen AI\nDesign and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve results\nThink big about the arc of development of Gen AI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems\nCommunicate results and insights to both technical and non-technical audiences, including through presentations and written reports\nBASIC QUALIFICATIONS\n3+ years of building models for business application experience\nPhD, or Master's degree and 4+ years of CS, CE, ML or related field experience\nExperience programming in Java, C++, Python or related language\nExperience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing\nPREFERRED QUALIFICATIONS\nPhD in Computer Science, Machine Learning, or a related field, with a focus on Gen AI and reinforcement learning\nExperience or publications related to Agentic AI applications\nProgramming skills in Python and experience with deep learning frameworks such as Tensor Flow or PyTorch\nExcellent problem-solving skills, with the ability to think creatively and critically about complex problems\nStrong communication and collaboration skills, with the ability to work effectively with cross-functional teams\nExperience with patents or publications at top-tier peer-reviewed conferences or journals\n\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\n\nLos Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.\n\nOur inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.\n\nOur compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.\n\nJob details\nUSA, CA, Sunnyvale\nUSA, WA, Bellevue\nUSA, NY, New York\nUSA, MA, Cambridge\nMachine Learning Science","company":"Amazon.com","rawCompany":"amazoncom","city":"Sunnyvale","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-12T21:26:14.433Z","occupations":[{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Applied Scientist, AGI","description":"DESCRIPTION\nThe Artificial General Intelligence (AGI) team is looking for a highly skilled and experienced Applied Scientist, to support the development and implementation of state-of-the-art algorithms and models for supervised fine-tuning and reinforcement learning through human feedback and and complex reasoning; with a focus across text, image, and video modalities.\n\nAs an Applied Scientist, you will play a critical role in supporting the development of Generative AI (Gen AI) technologies that can handle Amazon-scale use cases and have a significant impact on our customers' experiences.\n\nKey job responsibilities\n\nCollaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in Gen AI\nDesign and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve results\nThink big about the arc of development of Gen AI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems\nCommunicate results and insights to both technical and non-technical audiences, including through presentations and written reports\nBASIC QUALIFICATIONS\n3+ years of building models for business application experience\nPhD, or Master's degree and 4+ years of CS, CE, ML or related field experience\nExperience programming in Java, C++, Python or related language\nExperience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing\nPREFERRED QUALIFICATIONS\nPhD in Computer Science, Machine Learning, or a related field, with a focus on Gen AI and reinforcement learning\nExperience or publications related to Agentic AI applications\nProgramming skills in Python and experience with deep learning frameworks such as Tensor Flow or PyTorch\nExcellent problem-solving skills, with the ability to think creatively and critically about complex problems\nStrong communication and collaboration skills, with the ability to work effectively with cross-functional teams\nExperience with patents or publications at top-tier peer-reviewed conferences or journals\n\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\n\nLos Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.\n\nOur inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.\n\nOur compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.\n\nJob details\nUSA, CA, Sunnyvale\nUSA, WA, Bellevue\nUSA, NY, New York\nUSA, MA, Cambridge\nMachine Learning Science","datePosted":"2026-04-12T21:26:14.433Z","dateModified":"2026-04-12T21:26:14.433Z","hiringOrganization":{"@type":"Organization","name":"Amazon.com","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sunnyvale","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d6d504ef710d41196691aa7e"},"url":"https://jobsearcher.com/jobs/d6d504ef710d41196691aa7e"}}