Job Description
We are reimagining Amazon Search by introducing an interactive conversational experience that makes finding the perfect product easier than ever. With our state-of-the-art Large Language Model (LLM) innovations, you can now ask product-related questions, compare products, receive personalized suggestions, and more—all through a fast and reliable natural language conversation. This is just the beginning of a new era in online shopping, and the future is yours to shape.
We're searching for pioneers who are passionate about technology, innovation, and customer experience, and who are ready to make a lasting impact on the industry. You'll be working with talented scientists and engineers to innovate on behalf of 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 and change the world of eCommerce forever!
Basic Qualifications
- 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
Preferred Qualifications
- 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 committed to a diverse and inclusive workplace. 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 our careers page.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/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.
Benefits Extracted with AI
- Medical benefits
- Financial benefits
- Equity
- Sign-on payments
Similar jobs
Last update: 23 minutes ago
Senior Applied Scientist, Support Products & Services
Join Amazon as a Senior Applied Scientist to develop NLP and AI solutions for customer service challenges.
Senior Applied Scientist, Search Relevance
Join Amazon as a Senior Applied Scientist in Search Relevance, focusing on AI, NLP, and data science to enhance search quality.
Senior Applied Scientist - Machine Learning and Data Science
Join Amazon as a Senior Applied Scientist in Palo Alto, focusing on machine learning and data science for advertising.
Applied Scientist, Core Shopping
Join Amazon as an Applied Scientist in Core Shopping to innovate AI-powered shopping experiences using NLP, Generative AI, and more.
Applied Scientist, Conversational AI Modeling and Learning
Join Amazon's CAMEL team as an Applied Scientist to develop state-of-the-art Conversational AI using LLMs and NLP.
Senior Applied Scientist, Core Shopping
Join Amazon as a Senior Applied Scientist in Core Shopping, focusing on AI and machine learning innovations.
Senior Applied Scientist
Join Amazon as a Senior Applied Scientist to lead machine learning projects, optimize ad performance, and drive innovation.
Senior Applied Scientist
Join Amazon as a Senior Applied Scientist to develop machine learning models for customer safety.
Senior Applied Scientist
Join Amazon as a Senior Applied Scientist to lead machine learning projects, optimize models, and drive innovation in advertising.
Senior Applied Scientist
Join Amazon as a Senior Applied Scientist to innovate in AI and ML for large-scale search systems.
Applied Scientist II
Join Amazon as an Applied Scientist II to drive machine learning projects, optimize ad serving, and enhance customer experiences.
Applied Scientist, Artificial General Intelligence
Join Amazon's AGI team as an Applied Scientist to develop cutting-edge AI technology in Computer Vision and NLP.
Applied Scientist II, Customer Service AI
Join Amazon as an Applied Scientist II to develop AI systems for customer service, focusing on NLP and machine learning.
Senior Applied Scientist, Private Brands Discovery
Join Amazon's Private Brands Discovery team as a Senior Applied Scientist to drive machine learning solutions for brand awareness.
Senior Applied Scientist - Large Language Models
Join Amazon as a Senior Applied Scientist to develop cutting-edge AI agents using Large Language Models in Sunnyvale, CA.
Senior Applied Scientist - AI and Machine Learning
Join Amazon as a Senior Applied Scientist in Barcelona to innovate in AI, ML, and NLP with large datasets and cutting-edge research.
Senior ML Applied Scientist
Join Amazon as a Senior ML Applied Scientist to develop advanced algorithms for customer account security.
Applied Scientist, Brand Understanding Team
Join Amazon's Brand Understanding Team as an Applied Scientist to drive machine learning projects and innovations.
Senior Applied Scientist, Sponsored Products
Join Amazon as a Senior Applied Scientist in New York, focusing on AI, ML, and data science for Sponsored Products.
Senior Data Scientist, Intelligence & Industrialization
Join Amazon as a Senior Data Scientist to optimize global supply chain operations using advanced data science and machine learning techniques.
Applied Scientist, Artificial General Intelligence
Join Amazon's AGI team as an Applied Scientist to develop cutting-edge AI technology in Computer Vision and NLP.
Senior Applied Scientist, Artificial General Intelligence
Join Amazon's AGI team as a Senior Applied Scientist to develop cutting-edge AI algorithms and models. Requires deep learning expertise.
Principal Applied Scientist, Alexa Conversational Assistants Services
Join Amazon as a Principal Applied Scientist in Boston, focusing on NLP, ML, and LLMs for Alexa. Drive innovation in AI and conversational technologies.
Applied Science Manager, Conversational AI Modeling and Learning
Lead a team in developing state-of-the-art conversational AI using LLMs at Amazon. Requires experience in NLP and machine learning.