Applied Scientist, Conversational AI Modeling and Learning

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.