Amazon Jobs
Overview The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Principal Applied Scientist with a strong deep learning background to lead the development of industry-leading technology with multimodal systems.
The following information provides an overview of the skills, qualities, and qualifications needed for this role. Responsibilities
Define key research directions and adopt or invent new machine learning techniques. Conduct rigorous experiments, publish results, and translate research into practice. Develop long-term strategies, persuade teams to adopt them, and set goals for delivery. Participate in organizational planning, hiring, mentorship, and leadership development. Serve as a key scientific resource in full-cycle development from conception to maintenance. Lead scientific reviews, scrutinize experimental design, modeling, verification, and foster shared understanding. Educate and keep the scientific community up to date on advanced techniques and trends. Mentor and contribute to hiring and developing scientists and leads. Qualifications
Graduate degree in Computer Science/Math or related field; experience building complex, real-time AI/ML/NLP systems with customer delivery. PhD with specialization in AI, NLP, ML, or computational cognitive science with 10+ years of combined academic and research experience. First-author research on scaling laws, evaluation metrics, data mixture optimization, data efficiency, neural network architectures in top-tier journals and conferences. Excellent written and spoken communication skills; ability to sell ideas to executive-level decision makers. Proven track record of delivering large, cross-functional projects with evolving requirements; functional thought leader. Mentorship experience and ability to train researchers; strong leadership in scientific decisions. Equal Opportunity 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 accommodations during the application and hiring 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 $179,000/year to $309,400/year, with variations based on location, experience, and knowledge. Amazon is a total compensation company. Depending on the position, equity, sign-on payments, and other benefits may be provided in addition to medical and other benefits. For more information, visit https://www.aboutamazon.com/workplace/employee-benefits. Notice This position will remain posted until filled. Applications should be submitted via our internal or external career site.
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The following information provides an overview of the skills, qualities, and qualifications needed for this role. Responsibilities
Define key research directions and adopt or invent new machine learning techniques. Conduct rigorous experiments, publish results, and translate research into practice. Develop long-term strategies, persuade teams to adopt them, and set goals for delivery. Participate in organizational planning, hiring, mentorship, and leadership development. Serve as a key scientific resource in full-cycle development from conception to maintenance. Lead scientific reviews, scrutinize experimental design, modeling, verification, and foster shared understanding. Educate and keep the scientific community up to date on advanced techniques and trends. Mentor and contribute to hiring and developing scientists and leads. Qualifications
Graduate degree in Computer Science/Math or related field; experience building complex, real-time AI/ML/NLP systems with customer delivery. PhD with specialization in AI, NLP, ML, or computational cognitive science with 10+ years of combined academic and research experience. First-author research on scaling laws, evaluation metrics, data mixture optimization, data efficiency, neural network architectures in top-tier journals and conferences. Excellent written and spoken communication skills; ability to sell ideas to executive-level decision makers. Proven track record of delivering large, cross-functional projects with evolving requirements; functional thought leader. Mentorship experience and ability to train researchers; strong leadership in scientific decisions. Equal Opportunity 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 accommodations during the application and hiring 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 $179,000/year to $309,400/year, with variations based on location, experience, and knowledge. Amazon is a total compensation company. Depending on the position, equity, sign-on payments, and other benefits may be provided in addition to medical and other benefits. For more information, visit https://www.aboutamazon.com/workplace/employee-benefits. Notice This position will remain posted until filled. Applications should be submitted via our internal or external career site.
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