Amazon
Applied Science Manager, Model Customization, Generative AI Innovation Center
Amazon, Mountain View, California, us, 94039
Overview
Job ID: 3098989 | Amazon Web Services, Inc. Amazon launched the Generative AI Innovation Center (GAIIC) in Jun 2023 to help AWS customers accelerate the use of Generative AI to solve business and operational problems and promote innovation in their organization. GAIIC provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies that get deployed on devices and in the cloud. As an Applied Science Manager in GAIIC, you will partner with technology and business teams to build new GenAI solutions that delight our customers. You will be responsible for directing a team of data/research/applied scientists, deep learning architects, and ML engineers to build generative AI models and pipelines, and deliver state-of-the-art solutions to customer’s business and mission problems. Your team will be working with terabytes of text, images, and other types of data to address real-world problems. The successful candidate will possess both technical and customer-facing skills that will allow you to be the technical “face” of AWS within our solution providers’ ecosystem/environment as well as directly to end customers. You will be able to drive discussions with senior technical and management personnel within customers and partners, as well as the technical background that enables them to interact with and give guidance to data/research/applied scientists and software developers. The ideal candidate will also have a demonstrated ability to think strategically about business, product, and technical issues. Finally, and of critical importance, the candidate will be an excellent technical team manager, someone who knows how to hire, develop, and retain high quality technical talent. Responsibilities
• Direct a team of data/research/applied scientists, deep learning architects, and ML engineers to build generative AI models and pipelines. • Deliver state-of-the-art GenAI solutions addressing customer business and mission problems using large-scale data (terabytes of text, images, and other data types). • Partner with technology and business teams to define problem statements, drive technical direction, and ensure customer outcomes. • Represent AWS technically with customers, partners, and solution providers; facilitate discussions with senior technical and management personnel. • Hire, develop, and retain high-quality technical talent; manage cross-functional initiatives as needed. Basic Qualifications
• Experience hiring and growing top talent • Experience directly managing scientists or machine learning engineers • Experience programming in Java, C++, Python or related language • 3+ years of scientists or machine learning engineers management experience • Experience in several of the following areas: machine learning, statistics, deep learning, natural language processing, or information retrieval • Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives Preferred Qualifications
• Experience building machine learning models or developing algorithms for business application • Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers • 4+ years of building machine learning models or developing algorithms for business application experience • Experience building complex software systems that have been successfully delivered to customers • Experience managing cross-functional projects and initiatives • PhD in mathematics, engineering, statistics, computer science or a related field Equal Opportunity
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Additional Information
Los Angeles County applicants: job duties include working safely, communicating effectively, and following laws and company policies. Criminal history may have a direct, adverse, and negative relationship with some job duties. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. If you have a disability and need a workplace accommodation during the application process, visit our accommodations page for more information. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $165,500/year to $286,000/year, with equity, sign-on payments, and other benefits possibly part of total compensation. For more information, visit aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site. Posting Dates
Posted:
October 2, 2025 (Updated about 1 hour ago) Posted:
October 2, 2025 (Updated about 4 hours ago) Posted:
September 29, 2025 (Updated about 24 hours ago) Posted:
September 26, 2025 (Updated 1 day ago) Share this job #J-18808-Ljbffr
Job ID: 3098989 | Amazon Web Services, Inc. Amazon launched the Generative AI Innovation Center (GAIIC) in Jun 2023 to help AWS customers accelerate the use of Generative AI to solve business and operational problems and promote innovation in their organization. GAIIC provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies that get deployed on devices and in the cloud. As an Applied Science Manager in GAIIC, you will partner with technology and business teams to build new GenAI solutions that delight our customers. You will be responsible for directing a team of data/research/applied scientists, deep learning architects, and ML engineers to build generative AI models and pipelines, and deliver state-of-the-art solutions to customer’s business and mission problems. Your team will be working with terabytes of text, images, and other types of data to address real-world problems. The successful candidate will possess both technical and customer-facing skills that will allow you to be the technical “face” of AWS within our solution providers’ ecosystem/environment as well as directly to end customers. You will be able to drive discussions with senior technical and management personnel within customers and partners, as well as the technical background that enables them to interact with and give guidance to data/research/applied scientists and software developers. The ideal candidate will also have a demonstrated ability to think strategically about business, product, and technical issues. Finally, and of critical importance, the candidate will be an excellent technical team manager, someone who knows how to hire, develop, and retain high quality technical talent. Responsibilities
• Direct a team of data/research/applied scientists, deep learning architects, and ML engineers to build generative AI models and pipelines. • Deliver state-of-the-art GenAI solutions addressing customer business and mission problems using large-scale data (terabytes of text, images, and other data types). • Partner with technology and business teams to define problem statements, drive technical direction, and ensure customer outcomes. • Represent AWS technically with customers, partners, and solution providers; facilitate discussions with senior technical and management personnel. • Hire, develop, and retain high-quality technical talent; manage cross-functional initiatives as needed. Basic Qualifications
• Experience hiring and growing top talent • Experience directly managing scientists or machine learning engineers • Experience programming in Java, C++, Python or related language • 3+ years of scientists or machine learning engineers management experience • Experience in several of the following areas: machine learning, statistics, deep learning, natural language processing, or information retrieval • Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives Preferred Qualifications
• Experience building machine learning models or developing algorithms for business application • Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers • 4+ years of building machine learning models or developing algorithms for business application experience • Experience building complex software systems that have been successfully delivered to customers • Experience managing cross-functional projects and initiatives • PhD in mathematics, engineering, statistics, computer science or a related field Equal Opportunity
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Additional Information
Los Angeles County applicants: job duties include working safely, communicating effectively, and following laws and company policies. Criminal history may have a direct, adverse, and negative relationship with some job duties. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. If you have a disability and need a workplace accommodation during the application process, visit our accommodations page for more information. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $165,500/year to $286,000/year, with equity, sign-on payments, and other benefits possibly part of total compensation. For more information, visit aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site. Posting Dates
Posted:
October 2, 2025 (Updated about 1 hour ago) Posted:
October 2, 2025 (Updated about 4 hours ago) Posted:
September 29, 2025 (Updated about 24 hours ago) Posted:
September 26, 2025 (Updated 1 day ago) Share this job #J-18808-Ljbffr