Senior AI Architect

We are seeking a skilled Research Engineer to join our team. The successful candidate will have expertise in AI, machine learning, and software development.

This is a challenging role that requires strong technical skills and experience in developing scalable machine learning infrastructure. The ideal candidate will have a proven track record of delivering results and be able to bridge the gap between science and engineering teams.

• Participate in research and development: contribute to the development of latest Retrieval Augmented Generation technologies and fine-tuning techniques for embedding models and LLMs
• Tool development: build and improve toolings that applied scientists need, including scalable science experiment frameworks, low-latency testing pipelines, data collection/annotation/evaluation web applications
• Expedite science to production: bridge the gap between science and engineering teams, help investigate and mitigate gaps between science and engineering pipeline
• Science code quality control: serve as gatekeeper, review and hold science code quality to production standard
• Manage science infrastructure: act as admin to manage all science AWS account, including patching any security risks, building templates, AWS Cops, conducting cost reduction operations

• Master's degree or equivalent
• Experience programming with at least one software programming language
• 3+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture experience

We offer a range of benefits, including flexible working hours, ongoing events and learning experiences, mentorship and career growth opportunities, and an inclusive culture that empowers Amazonians to deliver the best results for our customers.

We value diverse experiences and believe that everyone should feel welcome and included in the workplace. We strive for flexibility as part of our working culture and aim to create a work-life harmony environment.