Job description

Are you fascinated by the power of Natural Language Processing (NLP) and Large Language Models (LLM) to transform the way we interact with technology? Are you passionate about applying advanced machine learning techniques to solve complex challenges in the e-commerce space? If so, Amazon's International Seller Services team has an exciting opportunity for you as Sr Applied Scientist. At Amazon, we strive to be Earth's most customer-centric company, where customers can find and discover anything they want to buy online. Our International Seller Services team plays a pivotal role in expanding the reach of our marketplace to sellers worldwide, ensuring customers have access to a vast selection of products. As Sr Applied Scientist, you will join a talented and collaborative team that is dedicated to driving innovation and delivering exceptional experiences for our customers and sellers. You will be part of a global team that is focused on acquiring new merchants from around the world to sell on Amazon’s global marketplaces around the world. The position is based in Seattle but will interact with global leaders and teams in Europe, Japan, China, Australia, and other regions. Join us at the Central Science Team of Amazon's International Seller Services and become part of a global team that is redefining the future of e-commerce. With access to vast amounts of data, cutting-edge technology, and a diverse community of talented individuals, you will have the opportunity to make a meaningful impact on the way sellers engage with our platform and customers worldwide. Together, we will drive innovation, solve complex problems, and shape the future of e-commerce. Please visit amazon.science for more information Key job responsibilities Provide scientific and technical leadership in the design and development of scalable LLM-based solutions that address complex, ambiguous language challenges across the International Seller Services domain — setting the technical direction and raising the science bar for the team. Partner strategically with cross-functional leaders — software engineers, data scientists, and product managers — to shape project vision, define success metrics, and drive the delivery of high-impact solutions from concept to production. Lead deep, rigorous data analysis to surface insights, uncover patterns, and translate them into actionable recommendations that measurably improve seller performance and customer experiences across global marketplaces. Drive innovation by researching, evaluating, and championing state-of-the-art NLP and LLM techniques, and by influencing the adoption of best practices that advance the accuracy, efficiency, and scalability of our language systems. Serve as a trusted technical advisor — communicating complex scientific concepts with clarity to both technical and executive stakeholders, and guiding decision-making on solution trade-offs and their broader business impact. Mentor and elevate fellow scientists and engineers, fostering a culture of scientific excellence, peer review, and continuous learning across the organization. A day in the life Set the scientific direction - architect and lead the development of scalable LLM and NLP solutions that tackle the most complex, ambiguous language challenges in seller acquisition, content generation, and catalog understanding Turn frontier research into production reality - champion state-of-the-art techniques, prototype ambitious ideas, and partner with engineers to ship science that operates reliably at massive scale Harness data at global scale - leverage some of the richest e-commerce datasets in the world to uncover deep insights and translate them into actionable strategy that measurably moves the business Influence beyond your team - partner with leaders across product, engineering, and science to shape roadmaps, define success metrics, and align solutions that generalize across Europe, Japan, China and beyond Solve problems that matter - frame ambiguous business challenges into well-scoped science problems that directly serve sellers and customers worldwide Raise the bar - mentor and elevate fellow scientists and engineers, lead design and peer reviews, and foster a culture of scientific rigor and continuous learning Be a trusted technical voice - communicate complex concepts with clarity to both technical teams and senior executives, guiding key decisions on trade-offs and long-term impact - 5+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Knowledge of programming languages such as C/C++, Python, Java or Perl 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 a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit amazon.jobs for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at amazon.jobs . USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually

Requirements

Must-haves

Key job responsibilities
Lead deep, rigorous data analysis to surface insights, uncover patterns, and translate them into actionable recommendations that measurably improve seller performance and customer experiences across global marketplaces.
Mentor and elevate fellow scientists and engineers, fostering a culture of scientific excellence, peer review, and continuous learning across the organization.
A day in the life
Turn frontier research into production reality - champion state-of-the-art techniques, prototype ambitious ideas, and partner with engineers to ship science that operates reliably at massive scale
Harness data at global scale - leverage some of the richest e-commerce datasets in the world to uncover deep insights and translate them into actionable strategy that measurably moves the business
Influence beyond your team - partner with leaders across product, engineering, and science to shape roadmaps, define success metrics, and align solutions that generalize across Europe, Japan, China and beyond
Solve problems that matter - frame ambiguous business challenges into well-scoped science problems that directly serve sellers and customers worldwide
Raise the bar - mentor and elevate fellow scientists and engineers, lead design and peer reviews, and foster a culture of scientific rigor and continuous learning
Be a trusted technical voice - communicate complex concepts with clarity to both technical teams and senior executives, guiding key decisions on trade-offs and long-term impact
5+ years of building machine learning models for business application experience
PhD, or Master's degree and 6+ years of applied research experience
Experience programming in Java, C++, Python or related language
Experience with neural deep learning methods and machine learning
Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
Knowledge of programming languages such as C/C++, Python, Java or Perl
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually

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Keywords to mirror

llmmachine learningjavapython

Platform: amazon
Effort: medium

Benefits

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Health Insurance

Dental

Vision

401(K)

Paid Time Off

Parental Leave