Sr. Applied Scientist, C360

Are you a scientist passionate about advancing Information Retrieval NLP and Large Language Models Do you want access to massive datasets world-class compute and a team of top scientists and engineers building the future of e-commerce If so youll be a great fit for our team at Amazon.

We build large-scale ML solutions that deliver personalized up-to-date recommendations to millions of customers. Our team is uniquely positioned to shape how customers think about their shopping journey.

Were looking for scientists with deep LLM expertise to build our next generation of models. The team focuses on post-traininginstruction tuning reward modeling reinforcement learning and multi-modal alignment. Youll design and run large-scale experiments analyze model behavior and develop training recipes that improve core capabilities like reasoning personalization and other frontier paradigms.


Key job responsibilities
- Own the scientific roadmap for personalization initiatives identifying high-impact research directions and translating ambiguous business problems into well-defined ML formulations
- Design and lead end-to-end systems spanning recommendations information retrieval and LLM fine-tuning from problem framing through offline experimentation to production A/B testing and launch
- Drive technical decisions on model architecture training methodology and evaluation frameworks balancing scientific rigor with business impact and operational constraints
- Mentor and raise the bar for the science team through design reviews paper discussions and establishing best practices for experimentation and reproducibility
- Influence cross-functional strategy by partnering with engineering product and leadership to define the product vision informed by whats technically feasible and scientifically novel
- Publish and advance the state of the art contribute to the broader ML community through patents publications and external engagement at conferences


A day in the life
You will solve real-world problems by getting and analyzing large amounts of data generate insights and opportunities execute experiments and develop statistical and ML models. The team is driven by business needs which requires collaboration with other Scientists Engineers and Product Managers across the organization. You get to influence stakeholders with clear communication skills. You innovate on behalf of the customer and strategically build features. You will mentor junior members and help them grow.


About the team
The team values innovations and offers a safe place to try fail and learn while fostering a culture of continuous improvement. Everyone is a leader and owner for everything we do as a team. Our team offers creative space with entrepreneurial work environment focusing on customer obsession.



- 3 years of building machine learning models for business application experience
- PhD or Masters 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.
- Experience with large scale distributed systems such as Hadoop Spark etc.

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 for more information. If the country/region youre applying in isnt 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 WA Seattle - 167100.00 - 226100.00 USD annually