Software Development Engineer, Conversational AI Modeling and Learning

Amazon • Bellevue, WA

1d • $143,700 - $194,400 • Onsite

About The Position

The Conversational AI Modeling and Learning (CAMEL) team is looking for a passionate, talented, and inventive SDE/MLE to play a pivotal role in the development of industry-leading, Generative AI (GenAI) powered conversational assistant capabilities using latest techniques like fine tuning, ICL (In Context Learning) and various prompt optimization techniques. As a SDE with the CAMEL team, you will be responsible for leading the development of high performance, low latency, industry leading modeling solutions to advance the state of the art Conversational agents. Your work will directly impact our customers in the form of products and services that make use of conversational agent innovations. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multimodal Large Language Models (LLMs) and Generative Artificial Intelligence (Gen AI) to improve Conversational Excellence. You will have significant influence on our overall strategy by helping define data, enrichment, model optimizations and evaluation. You will drive the system architecture, and spearhead the best practices that enable a quality infrastructure.

Requirements

• 3+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience programming with at least one software programming language

Nice To Haves

• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Bachelor's degree in computer science or equivalent

Responsibilities

• Ability to quickly learn latest technologies and algorithms in the field of Generative AI to participate in our journey to build the best conversational agent.
• Responsible for the development and maintenance of key platforms needed for developing, evaluating and deploying large language models required for building conversational agents.
• Work with other team members to investigate design approaches, prototype new technology and evaluate technical feasibility.
• Work closely with Applied scientists to process massive data, scale machine learning models along with optimizing latency, cost and capacity.
• Work in an Agile/Scrum environment to deliver high quality software.

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Associate degree