Amazon
Member of Technical Staff -PMT Research, AGI Autonomy
Amazon, San Francisco, California, United States, 94199
Overview
Member of Technical Staff - PMT Research, AGI Autonomy at Amazon.com Services LLC. We’re a new research lab in San Francisco focused on developing foundational capabilities for enabling useful AI agents. Our work involves combining large language models with reinforcement learning to solve reasoning and planning, learned world models, and generalizing agents to physical environments. We are part of Amazon’s broader AGI team and leverage the scale of Amazon to pursue high-risk, high-payoff research. We’re building a small, talent-dense team with the autonomy to move fast and a long-term commitment to ambitious research goals. Responsibilities
Own the roadmap for the tools on the critical path of the Lab’s research, ensuring research velocity remains high in a rapidly evolving agent space. Basic Qualifications
Deep technical expertise and detailed understanding of neural networks, large language models, reinforcement learning, model evaluation, and data annotation Experience building products for highly technical users Ability to thrive in ambiguity and create something new from scratch Outstanding ability to clearly articulate product vision and requirements in written documents Preferred Qualifications
Interest in AI agents — bonus if you’ve worked in the space formally or through side projects EEO and Benefits
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $225,000/year to $345,000/year depending on market location and experience. Amazon is a total compensation company. Depending on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total package. 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.
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Member of Technical Staff - PMT Research, AGI Autonomy at Amazon.com Services LLC. We’re a new research lab in San Francisco focused on developing foundational capabilities for enabling useful AI agents. Our work involves combining large language models with reinforcement learning to solve reasoning and planning, learned world models, and generalizing agents to physical environments. We are part of Amazon’s broader AGI team and leverage the scale of Amazon to pursue high-risk, high-payoff research. We’re building a small, talent-dense team with the autonomy to move fast and a long-term commitment to ambitious research goals. Responsibilities
Own the roadmap for the tools on the critical path of the Lab’s research, ensuring research velocity remains high in a rapidly evolving agent space. Basic Qualifications
Deep technical expertise and detailed understanding of neural networks, large language models, reinforcement learning, model evaluation, and data annotation Experience building products for highly technical users Ability to thrive in ambiguity and create something new from scratch Outstanding ability to clearly articulate product vision and requirements in written documents Preferred Qualifications
Interest in AI agents — bonus if you’ve worked in the space formally or through side projects EEO and Benefits
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $225,000/year to $345,000/year depending on market location and experience. Amazon is a total compensation company. Depending on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total package. 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.
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