Principal Applied Scientist, AGI Personalization

Building complex, real-time systems involving AI, ML, and NLP with successful delivery to customers.
Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements. Ability to take a project from requirements gathering and design to actual product launch.

Develop machine learning platform strategies and influence the organization adopting new approaches, concepts and paradigms.
Exceptional customer relationship skills including the ability to discover the true requirements underlying feature requests, recommend alternative technical and business approaches, and lead science efforts to meet aggressive timelines with optimal solutions.

Peer-reviewed scientific publications that advance state-of-the-art for applied science.

Deep subject matter expertise in the area of large language models and generative AI.
Provide thought leadership on and lead strategic efforts in the personalization of conversational assistant systems, including but not limited to:
- Retrieval augmented generation of large language models across a wide range of context providers
- Privacy and bias/fairness considerations in personalization
- Work with product, science and engineering teams to deliver short- and long-term personalization solutions that scale to millions of users and a variety of different conversational assistants
Collaborate with multiple teams of scientists and engineers to translate business and functional requirements into concrete deliverables
Work across different organizations at Amazon (e.g. LLM foundational model training and fine-tuning teams, information providers, Amazon businesses like Audible, Kindle and Shopping) to deliver systems at Amazon scale to bring value to billions of Amazon customers
Collaborate with academic partners and in-house experts as part of a cutting-edge applied research team, and help drive this knowledge into our science community through mentoring and knowledge sharing

Hands-on contributor to science at Amazon
Help raise the scientific bar by mentoring, educating, and publishing in your field
Help build the scientific roadmap for artificial general intelligence at Amazon scale, leaning into personalization elements
Key scientist and influencer in the company, working on the forefront of innovation in AI to apply research to real products
Technical leader in your domain

The AGI Personalization team uses various contextual signals to personalize Large Language Model output for our customers while maintaining privacy and security of customer data
Work across multiple Amazon products, including Alexa, to enhance the user experience by bringing more personal value and relevance to customers interactions

10+ years of relevant, broad research experience after PhD degree or equivalent
Deep and broad expertise across several computer science areas, in particular in Machine Learning and large-scale generative models with a focus on technologies related to conversational AI systems and/or personalization & recommender systems
Experience with structured (e.g. knowledge graphs) and/or unstructured knowledge sources
Strong core competency in mathematics and statistics
Track record of solving complex technical problems
Recognized thought leader in your area(s)
Publications at top-tier peer-reviewed conferences or journals
Strong prior experience with mentorship and/or management of senior scientists and engineers
Thinks strategically, but stays on top of tactical execution
Exhibits excellent business judgment; balances business, product, and technology very well
Effective verbal and written communication skills with non-technical and technical audiences
Experience working with real-world data sets and building scalable models from large-scale data

Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status
For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us

The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/year in our highest geographic market
Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience
Amazon is a total compensation company
Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits
For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits
This position will remain posted until filled
Applicants should apply via our internal or external career site