Amazon · 1 hour ago
Applied Scientist (GenAI/LLM), Sandstone
Seattle, WA
Full-time
Onsite
Mid, Senior Level
$136K/yr - $223K/yr
4+ years expAmazon is an innovative company that is building foundational behavioral models for Amazon Stores using Generative AI and Large Language Models. The role involves researching and implementing algorithms for generative AI applications, optimizing model performance, and collaborating with cross-functional teams to enhance AI development.
Artificial Intelligence (AI)DeliveryE-CommerceRetail
Responsibilities
Research and implement new algorithms and architectures for generative AI applications
Optimize model performance and scalability for inference and deployment
Collaborate with other talented applied scientists and engineers to gather and preprocess large datasets and develop an improved training infrastructure that accelerates innovation
Experiment with SOTA methods to improve generative AI model quality
Provide technical expertise and guidance to support the integration of generative AI solutions into various products and services
Qualification
Required
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
2+ years of building models for business application 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 in patents or publications at top-tier peer-reviewed conferences or journals
Preferred
Strong understanding of machine learning, deep learning, and generative AI principles and algorithms
Proficiency with modeling and large-scale data processing tools such as Pytorch, scikit-learn, Spark MLLib, PySpark, MxNet, Tensorflow, numpy, scipy etc
Ability to work with large datasets and knowledge of data preprocessing techniques such as Hadoop, Spark etc
Familiarity with natural language processing (NLP) and computer vision for generative AI applications
Strong problem-solving and critical thinking skills and excellent communication and teamwork abilities to collaborate with cross-functional teams
Ability to stay updated with the latest advancements in generative AI and adapt to new techniques and methodologies
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 (18969)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
Kleiner 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
2025-12-31
2025-12-31
2025-12-31
Company data provided by crunchbase