Description Are you a scientist interested in pushing the state of the art in recommendations and ranking? Are you interested in working on novel ideas that can positively impact millions of Amazon customers? Do you wish you had access to large datasets? Are you passionate about publishing your work at conferences? Answer yes to any of these questions and you will be a great fit for our team at Amazon. Our team is part of Amazon’s Personalization organization, a high-performing group that leverages Amazon’s expertise in machine learning, big data, distributed systems, and user experience design to deliver the best shopping experiences for our customers. We are building ML solutions to rank content on new shopping experiences on Amazon that inspire customers to find engaging multi-modal content (videos, images, reviews) related to their interests. Amazon’s internal surveys regularly recognize us as one of the best organizations to work for in the company, with visible high-impact work, respectful work-life balance, and continual opportunity to learn and grow. As an Applied Scientist in our team, you will be working on cutting edge ways to help customers find the right products and content on their shopping journey. You will develop novel algorithms in areas such as deep learning and reinforcement learning while building scalable industrial systems. As a member of a team of talented engineers and ML scientists, you will have a unique opportunity to help design and build infrastructure that accesses terabytes of data to produce and deliver models with low latency and high reliability. We are building the next generation ML system that powers the biggest internet retailer on earth, and we hope you will join us! Key job responsibilities Adopt or invent new machine learning techniques in the realm of real-world ranking, recommendation and large language models. Be technically fearless and with a passion for building scalable science and engineering solutions. Serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance). Work closely with stakeholders to optimize various business operations Participate in hiring, mentorship and leadership development. Publish results at peer-reviewed conferences/journals. Please visit https://www.amazon.science for more information. Basic Qualifications - PhD, or Master's degree and 3+ years of practical machine learning experience - 3+ years of building models for business application experience - Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning - Experience programming in Java, C++, Python or related language Preferred Qualifications - 3+ years of building machine learning models or developing algorithms for business application experience - Ability to take a project from scoping requirements through actual launch of the project. 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 $136,000/year in our lowest geographic market up to $222,200/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.