Overview

Our ML Engineers collaborate across diverse teams, projects, and environments to have a firsthand impact on our global customer base. You\''ll bring a passion for the intersection of software development with generative AI and machine learning.Amazon launched the Generative AI (GenAI) Innovation Center (GenAIIC) in Jun 2023 to help AWS customers accelerate enterprise innovation and success with Generative AI. GenAIIC provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies that get deployed on devices and in the cloud. As a Machine Learning Engineer in GenAIIC, you are proficient in developing and deploying advanced ML models and pipelines to solve diverse customer problems using Gen AI. You will be working alongside scientists with terabytes of text, images, and other types of data and develop Gen AI based solutions to solve real-world problems. You\''ll design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect, use and transfer the personal data of our candidates.Responsibilities

Design, implement, test, deploy and maintain innovative ML solutions to transform service performance, durability, cost, and security.Build high-quality, highly available, always-on products.Research implementations that deliver the best possible experiences for customers.Build high-impact ML solutions to deliver to our large customer base.Participate in design discussions, code reviews, and communicate with internal and external stakeholders.Work cross-functionally to help drive business solutions with your technical input.Work in a startup-like development environment, where you\''re always working on the most important stuff.Qualifications

8+ years of non-internship professional software development experience5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systemsExperience building complex software systems that have been successfully delivered to customersExperience as a mentor, tech lead or leading an engineering team5+ years experience in data querying languages (e.g. SQL), scripting languages (e.g. Python) with exposure to machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performancePREFERRED QUALIFICATIONS: 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experienceBachelor\''s degree in computer science or equivalentAbout the team

Diverse Experiences. AWS values diverse experiences. If you do not meet all of the qualifications and skills listed, we still encourage you to apply. If your career is just starting, hasn\''t followed a traditional path, or includes alternative experiences, don\''t let it stop you from applying.

#J-18808-Ljbffr