Job Description
Amazon's Conversational AI Modeling and Learning (CAMEL) team, part of the Artificial General Intelligence (AGI) organization, is on a mission to create a best-in-class Conversational AI that is intuitive, intelligent, and responsive. We aim to develop superior Large Language Models (LLM) solutions and services that enhance the capabilities built into the model, enabling the use of thousands of APIs and external knowledge sources to provide the best experience for each request across millions of customers and endpoints.
Key Responsibilities
As an Applied Scientist, you will:
- Collaborate with other talented applied scientists and engineers to research and develop novel algorithms and modeling techniques to reduce friction and enable natural and contextual conversations.
- Analyze, understand, and improve user experiences by leveraging Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in artificial intelligence.
- Work on core LLM technologies, including Supervised Fine-Tuning (SFT), In-Context Learning (ICL), and Learning from Human Feedback (LHF).
- Directly impact our customers through the development of novel products and services.
Basic Qualifications
- A Master’s degree or a Bachelor’s degree with 2+ years of experience in developing machine learning models for business applications.
- Educational background in Computer Science, Computer Engineering, Machine Learning, or a related field, with relevant research experience.
- Proven experience in building machine learning models or working on data analysis projects.
- Proficiency in programming languages like Python, Java, or C++.
- Familiarity with machine learning libraries and tools such as scikit-learn, TensorFlow, or PyTorch.
- A solid understanding of fundamental machine learning concepts, including techniques in natural language processing (NLP).
Preferred Qualifications
- Coursework or hands-on projects in machine learning, deep learning, or natural language processing.
- Experience with conversational AI systems or NLP applications through academic projects or internships.
- Familiarity with data processing frameworks such as Spark.
- Strong written and verbal communication skills, with an emphasis on effective teamwork and collaboration.
- Publications in peer-reviewed conferences related to NLP/ML is a plus (e.g., ACL, EMNLP, NAACL, NeurIPS, ICLR, ICML, AAAI).
About Amazon
Amazon is committed to a diverse and inclusive workplace. We are an equal opportunity employer and do 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.
Compensation
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,400/year in our lowest geographic market up to $212,800/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
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.
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
Join Amazon as a Senior Applied Scientist to innovate in AI, NLP, and machine learning for eCommerce.
Senior Applied Scientist, Support Products & Services
Join Amazon as a Senior Applied Scientist to develop NLP and AI solutions for customer service challenges.
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 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, 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, 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, AGI Conversational Assistant Services
Join Amazon's AGI team as an Applied Scientist to revolutionize Alexa with LLM expertise.
Applied Scientist II
Join Amazon as an Applied Scientist II to drive machine learning projects, optimize ad serving, and enhance customer experiences.
Senior Manager, Applied Science - Alexa International Tech
Join Amazon as a Senior Manager in Applied Science for Alexa International Tech, leading AI and multilingual experiences.
Applied Scientist, Alexa News
Join Amazon's Alexa News team as an Applied Scientist to innovate in Generative AI and Machine Learning.
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 - Large Language Models
Join Amazon as a Senior Applied Scientist to develop cutting-edge AI agents using Large Language Models in Sunnyvale, CA.
Machine Learning Engineer II - Search Science & AI
Join Amazon as a Machine Learning Engineer II to enhance search relevance using advanced ML models.
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, 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.
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.
Applied Scientist, Customer Targeting
Join Amazon as an Applied Scientist in Customer Targeting to develop models optimizing marketing initiatives.
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.
Senior Applied Scientist
Join Amazon as a Senior Applied Scientist to innovate in AI and ML for large-scale search systems.
Applied Scientist, Artificial General Intelligence
Join AWS as an Applied Scientist in Artificial General Intelligence, driving AI innovation in cloud computing.
Senior Applied Scientist - LLM & Video Synthesis
Join Amazon's Creative X team as a Senior Applied Scientist focusing on LLM & Video Synthesis. Drive ML projects and innovate in advertising.
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.