Amazon · 1 day ago
Applied Scientist, AGI Info - Web Information Systems
Sunnyvale, CA
Full-time
Onsite
Mid, Senior Level
$136K/yr - $223K/yr
3+ years expAmazon’s Artificial General Intelligence (AGI) organization is developing a next-generation web search system to support RAG applications across Amazon. They are seeking an Applied Scientist with expertise in information retrieval, content understanding, and natural language processing to develop innovative solutions to technical problems in web-scale IR.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
Responsibilities
As an Applied Scientist, you will apply scientific rigor to your work
You will deliver incrementally, setting up and executing experiments informed by rigorous failure space analysis of prior experiments
You have a knack for writing clear, succinct and informative reports of your experiments
You collaborate and seek guidance from other scientists on your team to define the next experiments
You collaborate closely with engineers to bring your innovations into production
You will continuously with customers and stakeholders to simplify and adapt to deliver for our customers
You will develop state-of-the-art web search technology, including training novel retrieval and ranking models, scaling models and optimizing performance, partnering with engineering to deploy and debug model performance in production, and building and scaling quality training data sets
Qualification
Required
3+ years of building models for business application experience
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
Experience programming in Java, C++, Python or related language
Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Experience building machine learning models or developing algorithms for business application
Preferred
Experience using Unix/Linux
Experience in professional software development
PhD in computer science, machine learning, engineering, or related fields
3+ years of building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization or search experience
Publications at peer-reviewed conferences (e.g. SIGIR, WWW, CIKM, WSDM, ACL, EMNLP, NAACL, NeurIPS, ICLR)
In-depth working knowledge of LLMs
Benefits
Equity
Sign-on payments
Full range of medical, financial, and/or other benefits
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
10001+ employees
H1B Sponsorship
Amazon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Leadership Team
Douglas J. Herrington
CEO, Worldwide Amazon Stores
Werner Vogels
VP & CTO
Recent News
TechRadar.com
2026-01-16
2026-01-16
Chicago Sun-Times - Business
2026-01-16
Company data provided by crunchbase