At Amazon's Stores Foundational AI - M5 team, we're revolutionizing e-commerce through advanced Large Language Models (LLMs). Our models power various customer interactions across Amazon's platform, enhancing the traditional and conversational shopping experience at every turn. We're looking for an exceptional science leader to spearhead our AI innovation efforts. In this role, you'll lead a high-performing team of scientists, developing cutting-edge LLM technologies that directly impact customer experiences. You'll collaborate with cross-functional teams, identifying new AI opportunities and translating research into practical, scalable solutions. As a leader, you'll mentor team members, fostering a culture of excellence and continuous learning. Your ability to inspire and guide technical experts will be crucial in pushing the boundaries of AI-driven e-commerce. This position offers a unique opportunity to shape the future of online shopping, making a lasting impact on millions of customers worldwide. If you're passionate about emerging technology, driven by customer-centric innovation, and ready to make a significant industry impact, we want to hear from you. Join us in transforming the e-commerce landscape through the power of AI.

BASIC QUALIFICATIONS

- 3+ years of scientists or machine learning engineers management experience
- Knowledge of ML, NLP, Information Retrieval and Analytics
- At least 5 years experience in building large-scale machine learning and solutions at scale
- At least 2 years programming experience in Java, Python, Scala, C++, or other mainstream language
- Excellent oral and written communication skills, with the ability to communicate complex technical concepts and solutions to all levels of the organization

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
- PhD in Computer Science, Information Retrieval, Machine Learning, Natural Language Processing.
- Experience with Internet-scale distributed technologies.
- Published research work in academic conferences or industry circles.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

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 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.