All roles

Applied Scientist II, Customer Service AI

Remote · USA Full-time New today

Key Challenges in Conversational AI The Applied Scientist will play a critical role in the research, development, and implementation of solutions to key challenges in developing conversational AI systems that can understand and communicate with customers in a natural and contextually appropriate manner. Job Responsibilities: • Research and development of LLM-based chatbots and conversational AI systems for customer service applications. • Design and implement state-of-the-art NLP and ML models for tasks such as language understanding, dialogue management, and response generation. • Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate LLM-based solutions into Amazon's customer service platforms. • Develop and implement strategies for data collection, annotation, and model training to ensure high-quality and robust performance of the chatbots. • Conduct experiments and evaluations to measure the performance of the developed models and systems, and identify areas for improvement. • Stay up-to-date with the latest advancements in NLP, LLMs, and conversational AI, and explore opportunities to incorporate new techniques and technologies into Amazon's customer service solutions. • Collaborate with internal and external research communities, participate in conferences and publications, and contribute to the advancement of the field. A Day in the Life: We thrive on solving challenging problems to innovate for our customers. By pushing the boundaries of technology, we create unparalleled experiences that enable us to rapidly adapt in a dynamic environment. Our decisions are guided by data, and we collaborate with engineering, science, and product teams to foster an innovative learning environment. If you are passionate about this role and want to make an impact on a global scale, please apply.

Benefits

Summary: • Medical, Dental, and Vision Coverage • Maternity and Parental Leave Options • Paid Time Off (PTO) • 401(k) Plan About the Team: Join our team of scientists and engineers who develop and deploy LLM-based Conversational AI systems to enhance Amazon's customer service experience and effectiveness. We work on innovative solutions that help customers solve their issues and get their questions answered efficiently, and associate-facing products that support our customer service associate workforce. Basic Qualifications: Master's degree 2+ years of building machine learning models or developing algorithms for business application experience Preferred Qualifications: PhD 3+ years of building machine learning models or developing algorithms for business application experience 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. Apply Job!

Related roles

Contractor - Food Safety Auditor (US)

Remote · USA Full-time

INTERNAL ONLY - Credentialing Project Specialist

Remote · USA Full-time

Sales Manager Fuel (Florida, Southern Georgia)

Remote · USA Full-time

Remote Financial Professional - PT/FT Opportunity

Remote · USA Full-time

Seasonal Health Insurance Agent in Florida

Remote · USA Full-time

Content Editor, Bible Publishing | Remote

Remote · USA Full-time

Work From Home-Online- Hotel Reservationist/Entry Level

Remote · USA Full-time

Marketing & Administrative Assistant (Remote, Part-Time)

Remote · USA Full-time

Insurance Defense Attorney -- Bodily Injury

Remote · USA Full-time

Accounting Assistant - Part-time (20 hrs/week)

Remote · USA Full-time

Product Development & Support Engineer

Remote · USA Full-time

Fully Remote Online Chat Support Specialist – Entry Level

Remote · USA Full-time

Apply Now: Online Customer Service Representative – American

Remote · USA Full-time

Experienced Customer Service Representative – Residential and Commercial Property Insurance

Remote · USA Full-time

Line Pilot - Multi Engine Future Openings

Remote · USA Full-time

Experienced Customer Support Associate – Flexible Work and Autonomous Environment

Remote · USA Full-time

Telemedicine Physician Part Time or Full-Time (MD or DO)

Remote · USA Full-time

Director of Undergraduate Laboratories in Physics

Remote · USA Full-time

Hiring Now: Remote Customer Service Agents

Remote · USA Full-time

SAP S/4HANA Finance Functional Consultant – AR

Remote · USA Full-time