Amazon Web Services (AWS) is seeking a Machine Learning Engineer for their Generative AI Innovation Center (GenAIIC), launched in June 2023. This role is part of AWS's initiative to help customers accelerate enterprise innovation with Generative AI. The position offers an opportunity to work in a fast-paced environment, contributing to game-changing projects that impact AWS's global customer base.
As a Machine Learning Engineer, you'll be responsible for developing and deploying advanced ML models and pipelines, working with terabytes of data across various formats. You'll collaborate with scientists to create GenAI-based solutions for real-world problems. The role involves designing experiments, researching new algorithms, and optimizing for risk, profitability, and customer experience.
The position requires strong expertise in software development and machine learning, with responsibilities spanning the entire technical stack. You'll be working in a startup-like environment, focusing on high-priority projects and delivering solutions to AWS's extensive customer base. The role involves significant cross-functional collaboration and technical leadership.
AWS values diverse experiences and maintains an inclusive culture through various initiatives, including employee-led affinity groups and ongoing learning experiences. The company offers strong career development opportunities, including mentorship and knowledge-sharing resources. AWS emphasizes work-life harmony and provides a supportive environment for both professional and personal growth.
The ideal candidate will bring 8+ years of professional software development experience, with significant expertise in machine learning and statistical modeling. They should have a proven track record of leading technical designs and delivering complex systems to customers. This role offers an opportunity to work at the forefront of generative AI technology while contributing to AWS's mission of being Earth's Best Employer.