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 https://www.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
BASIC QUALIFICATIONS
- 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
PREFERRED QUALIFICATIONS
- 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
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 https://amazon.jobs/en/benefits.
USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually
