Amazon.com Services LLC

Technology

SoftwareDevelopmentEngineer,ConversationalAIModelingandLearning

$70–194k Bellevue, Washington, United States; New York, New York, United States; Austin, Texas, United States; Arlington, Virginia, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Software Development Engineer, Conversational AI Modeling and Learning at Amazon.com Services LLC. Skills: Machine Learning, AI Modeling, Software Development. Design, develop, and deploy machine learning models. Build and maintain scalable AI systems”

What You'll Achieve.

Improve AI model accuracy; Enhance user experience; Deliver innovative AI solutions

Industry & Context.

Technology
Problems you'll solve

Root cause analysis; Troubleshooting

What They're Looking For.

Must Have

Bachelor's degree or equivalent practical experience, 3+ years of experience in software development, Experience with at least one general-purpose programming language

Nice to Have

Master's degree or PhD in Computer Science, AI, or related field, Experience with large-scale distributed systems, Experience with machine learning frameworks (e.g., TensorFlow, PyTorch), Experience with cloud platforms (AWS, Azure, GCP), Experience with data processing and analysis tools

What You'll Do.

and deploy machine learning models

Build and maintain scalable AI systems

Collaborate with cross-functional teams

Conduct research and experiments

Analyze and interpret data

Optimize model performance

Participate in code reviews

How You'll Work.

Team & Collaboration

Cross-functional teams; Research scientists; Software engineers

Communication Scope

Technical presentations

Process & Methodology

Agile methodologies

Full Job Description

The Conversational AI Modeling and Learning (CAMEL) team is looking for a passionate, talented, and inventive SDE/MLE to play 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. Key job 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. A day in the life 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. About the team Join our CAMEL team and work at the forefront of AI. Collaborate wit

Free ATS check

Applying for this Software Development Engineer, Conversational AI Modeling and Learning role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

ANONYMOUS · UNFILTERED

What do employees actually say about Amazon.com Services LLC?

Real rants from real employees. Read before you apply.

Read Company Rants →