Sr. Applied Scientist, C360

Job :  |  Services LLC

We're looking for a senior scientist to lead the research direction for a system that gives AI persistent, compounding memory. This is a new problem space — not recommendation, not search, not summarization, though it draws from all three. The right scientist will define what this field becomes. You'll own the scientific roadmap, run a research agenda with real-world deployment targets, and mentor junior scientists.

The team is forming now. Your first week will involve scoping experiments, not reading onboarding docs.

• As a Senior Applied Scientist, you will own the scientific roadmap for personalization initiatives, identifying high-impact research directions and translating ambiguous problems into well-defined ML formulations. You will lead end-to-end systems spanning knowledge acquisition, retrieval, and reasoning. Specific responsibilities include:
• 1. Define the scientific roadmap for knowledge acquisition, representation, and retrieval at organizational scale.
• 2. Lead research on how AI systems should learn from experience — what to capture, how to generalize, when to forget.
• 3. Design evaluation frameworks for a system where "quality" means something new — right knowledge, right context, right confidence level.
• 4. Own end-to-end research from problem formulation through production impact measurement.
• 5. Mentor Applied Scientists and establish scientific standards for a new team.
• 6. Partner with engineering leadership to translate research into architecture decisions that shape the product.
• 7. Drive technical decisions on model architecture, training methodology, and evaluation frameworks, balancing scientific rigor with business impact.
• 8. Publish at top-tier venues and advance the state of the art in applied knowledge systems.

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

Born out of Amazon's Personalization organization, which pioneered personalization at internet scale. We're applying deep expertise in large-scale ML to a fundamentally new domain where the signal space, objective functions, and evaluation criteria are all open research questions.

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 for everything we do as a team. We offer creative space with an entrepreneurial work environment focusing on customer obsession.

- 3+ 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.
- 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…