Job Description
DESCRIPTION
Are you interested in shaping the future of Advertising and B2B Sales through Generative AI solutions? We are a growing science and engineering team with an exciting charter and need your passion, innovative thinking, and creativity to help take our products to new heights.
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. Within the Advertising Sales organization, we are building a central AI/ML team and are seeking a top science leader to build new, Generative AI powered services that will transform the way account teams operate. This includes building autonomously orchestrated AI Agents that directly connect with advertisers, as well as core AI services that augment internal products with improved embeddings, fine-tuned LLMs and custom guardrails.
As a part of our team, you will bring deep expertise in Natural Language Processing (NLP), Reinforcement Learning (RL), Deep Learning (DL), Large Language Models (LLM) and/or Generative Artificial Intelligence to build and refine models that can be implemented in production. You will be a thought leader as we chart new courses with our ad sales support technologies, and you have the communication skills necessary to explain complex technical approaches to a variety of stakeholders, leaders and customers. We are seeking a true owner who can provide science leadership, establish a vision and charter for the team, foster a collaborative and innovative team environment, and manage a team of scientists and software engineers to drive long-term success. You can build a team, launch AI models in production, write vision documents and build scalable team mechanisms.
Impact and Career Growth: You will invent new experiences and influence customer-facing AI experiences; this is your opportunity to work within the fastest growing businesses across all of Amazon with visibility to senior leadership and an opportunity to grow quickly! Define a long-term scientific vision for our advertising sales business, driven from our customers' needs, translating that direction into specific plans for scientists, engineers and product teams. This role combines scientific leadership, organizational ability, technical strength, product focus, and business understanding. We’re also continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Key job responsibilities
Drive end-to-end applied science projects that have a high degree of ambiguity, scale and complexity
Provide technical / science leadership related to Large Language Models, Natural Language Processing (NLP) and Reinforcement Learning (RL) .
Research new and innovative Machine Learning / Artificial Intelligence approaches.
Recruit high performing Applied Scientists to the team and provide mentorship.
Establish team mechanisms, including team building, vision setting, planning, and document reviews.
About the team
Sales AI is a central science and engineering organization within Amazon Advertising Sales that powers selling motions and account team workflows via state-of-the-art of AI/ML services. Sales AI is investing in a range of sales intelligence models, including the development of advertiser insights, recommendations and Generative AI-powered applications throughout account team workflows.
BASIC QUALIFICATIONS
3+ years of scientists or machine learning engineers management experience
Knowledge of ML, NLP, Information Retrieval and Analytics
Ph.D. in Computer Science, Information Retrieval, Machine Learning, Natural Language Processing, Reinforcement Learning, Mathematics, or a related field plus 5 years of relevant experience, or Master’s degree plus 10 years of relevant work experience
2+ years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training, continual pre-training, fine-tuning, or reinforcement learning techniques.
Scientific publication track record at top-tier AI/ML/NLP conferences or journals
PREFERRED QUALIFICATIONS
Experience building machine learning models or developing algorithms for business application
Proven track record of delivering scalable and high-quality ML/ NLP / Gen AI solutions (models and infrastructure) to customers and experience with building conversational experiences and AI agents.
Strong communication skills with the ability to clearly convey complex technical concepts to diverse audiences, including senior leadership.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los 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.
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 $165,500/year in our lowest geographic market up to $286,000/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.
Are you interested in shaping the future of Advertising and B2B Sales through Generative AI solutions? We are a growing science and engineering team with an exciting charter and need your passion, innovative thinking, and creativity to help take our products to new heights.
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. Within the Advertising Sales organization, we are building a central AI/ML team and are seeking a top science leader to build new, Generative AI powered services that will transform the way account teams operate. This includes building autonomously orchestrated AI Agents that directly connect with advertisers, as well as core AI services that augment internal products with improved embeddings, fine-tuned LLMs and custom guardrails.
As a part of our team, you will bring deep expertise in Natural Language Processing (NLP), Reinforcement Learning (RL), Deep Learning (DL), Large Language Models (LLM) and/or Generative Artificial Intelligence to build and refine models that can be implemented in production. You will be a thought leader as we chart new courses with our ad sales support technologies, and you have the communication skills necessary to explain complex technical approaches to a variety of stakeholders, leaders and customers. We are seeking a true owner who can provide science leadership, establish a vision and charter for the team, foster a collaborative and innovative team environment, and manage a team of scientists and software engineers to drive long-term success. You can build a team, launch AI models in production, write vision documents and build scalable team mechanisms.
Impact and Career Growth: You will invent new experiences and influence customer-facing AI experiences; this is your opportunity to work within the fastest growing businesses across all of Amazon with visibility to senior leadership and an opportunity to grow quickly! Define a long-term scientific vision for our advertising sales business, driven from our customers' needs, translating that direction into specific plans for scientists, engineers and product teams. This role combines scientific leadership, organizational ability, technical strength, product focus, and business understanding. We’re also continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Key job responsibilities
Drive end-to-end applied science projects that have a high degree of ambiguity, scale and complexity
Provide technical / science leadership related to Large Language Models, Natural Language Processing (NLP) and Reinforcement Learning (RL) .
Research new and innovative Machine Learning / Artificial Intelligence approaches.
Recruit high performing Applied Scientists to the team and provide mentorship.
Establish team mechanisms, including team building, vision setting, planning, and document reviews.
About the team
Sales AI is a central science and engineering organization within Amazon Advertising Sales that powers selling motions and account team workflows via state-of-the-art of AI/ML services. Sales AI is investing in a range of sales intelligence models, including the development of advertiser insights, recommendations and Generative AI-powered applications throughout account team workflows.
BASIC QUALIFICATIONS
3+ years of scientists or machine learning engineers management experience
Knowledge of ML, NLP, Information Retrieval and Analytics
Ph.D. in Computer Science, Information Retrieval, Machine Learning, Natural Language Processing, Reinforcement Learning, Mathematics, or a related field plus 5 years of relevant experience, or Master’s degree plus 10 years of relevant work experience
2+ years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training, continual pre-training, fine-tuning, or reinforcement learning techniques.
Scientific publication track record at top-tier AI/ML/NLP conferences or journals
PREFERRED QUALIFICATIONS
Experience building machine learning models or developing algorithms for business application
Proven track record of delivering scalable and high-quality ML/ NLP / Gen AI solutions (models and infrastructure) to customers and experience with building conversational experiences and AI agents.
Strong communication skills with the ability to clearly convey complex technical concepts to diverse audiences, including senior leadership.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los 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.
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 $165,500/year in our lowest geographic market up to $286,000/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.
💡 Quick Summary
Seeking a career-building opportunity? The Manager, Applied Science, Sales AI- post position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in New York City offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.
