Sr. Applied Scientist, C360

Overview

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, you’ll 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. We’re looking for scientists with deep LLM expertise to build our next generation of models. The team focuses on post‑training—including instruction tuning, reward modeling, reinforcement learning, and multimodal alignment. You’ll design and run large‑scale experiments, analyze model behavior, and develop training recipes that improve core capabilities such as reasoning, personalization, and other frontier paradigms.

• 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 what’s 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.

You will solve real‑world problems by getting and analyzing large amounts of data, generating insights and opportunities, executing experiments, and developing statistical and ML models. The team is driven by business needs, requiring collaboration with other Scientists, Engineers, and Product Managers across the organization. You will influence stakeholders with clear communication, innovate on behalf of the customer, and strategically build features.

You will mentor junior members and help them grow.

The team values innovation and offers a safe place to try, fail and learn while fostering a culture of continuous improvement. Everyone is a leader and owner of everything we do as a team. The environment is creative and entrepreneurial, with a strong focus on customer obsession.

• 3+ years of building machine learning models for business applications.
• PhD, or Master’s degree and 6+ years of applied research experience.
• Experience programming in Java, C++, Python or a related language.
• Experience with neural deep learning methods and machine learning.

• Experience with modeling tools such as R, scikit‑learn, Spark MLLib, MxNet, Tensor Flow, Num Py, Sci Py, 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 (Use the "Apply for this Job" box below).

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 options 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 .

USA, WA, Seattle – $ – $ USD annually