Amazon.com Services LLC
Technology
AppliedScientist(GenAI/LLM)
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Applied Scientist (GenAI/LLM) at Amazon.com Services LLC. Skills: Generative AI, LLM, Behavioral modeling. Research algorithms for generative AI. Implement algorithms for generative AI”
What You'll Achieve.
Ensure AI projects drive innovation; Provide value for customers
Industry & Context.
Problem-solving skills; Critical thinking skills
What They're Looking For.
Must Have
Master's degree and 4+ years experience, 2+ years building models for business application, Experience programming in Java, C++, Python, Experience in algorithms and data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel and distributed computing, Experience in high-performance computing
Nice to Have
PhD preferred, Understanding of machine learning principles, Understanding of deep learning principles, Understanding of generative AI principles, Proficiency with Pytorch, Proficiency with scikit-learn, Proficiency with Spark MLLib, Proficiency with PySpark, Proficiency with MxNet, Proficiency with Tensorflow, Proficiency with numpy, Proficiency with scipy, Familiarity with natural language processing, Familiarity with computer vision, Problem-solving skills, Critical thinking skills, Teamwork abilities, Ability to stay updated with advancements, Ability to adapt to new techniques
What You'll Do.
Research algorithms for generative AI
Implement algorithms for generative AI
Optimize model performance for inference
Optimize model performance for deployment
Collaborate with scientists and engineers
Gather large datasets
Preprocess large datasets
Develop training infrastructure
Accelerate innovation
Experiment with SOTA methods
Improve generative AI model quality
Provide technical expertise
Provide guidance for integration
Support integration of generative AI solutions
How You'll Work.
Team & Collaboration
Cross-functional teams; Talented applied scientists; Engineers
Communication Scope
Communication abilities
Full Job Description
Do you want to join an innovative team of scientists and engineers who use terabytes of data and create state-of-the-art Generative AI algorithms to push the boundaries of AI creativity? We are building foundational behavioral models for Amazon Stores using Generative AI, LLMs and Large Model training techniques that fuses general world knowledge, customer shopping behavior and Amazon e-commerce domain knowledge. We are looking for scientists who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry using intelligent and transformative AI applications. Working closely with cross-functional teams, you will be an essential part of every stage of AI development, from ideation and design to rigorous testing and successful deployment, ensuring our AI projects drive innovation and provide value for our customers. If you’re fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey! Key job responsibilities In this role you will leverage your background and expertise to lead developing foundational behavioral model for Amazon Stores using Generative AI, LLM and Large Model training techniques. On a day-to-day basis, you will: - 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. Basic Qualifications: - 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 pr
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