Engineer, Artificial General Intelligence - Data Services
The Amazon Artificial General Intelligence (AGI) Data Services organization is responsible for developing diverse datasets to train and evaluate the Amazon AI models. We are looking for Engineers to join our science and engineering team to support the development of complex, multimodal datasets, using a range of approaches including synthetic data , model-supported data , and human-in-the-loop data collections.
You will play a critical role in driving innovation and advancing the state-of-the-art in evaluating and training AI models. You will work closely with cross-functional teams, including product managers, engineers, and data scientists to ensure that our AI systems are best in class.
Key job responsibilities
- Design complex data collections with human participants in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final deliverables
- Design and conduct complex data creation tasks using synthetic and model-based data methods, following state-of-the-art approaches
- Analyze and extract insights from large amounts of data
- Build tools or tool prototypes for data analysis or data creation, using Python or another scripting
- Use modeling tools to bootstrap or test new AI functionalities
- Collaborate with scientists, software engineers, and other data creators to evaluate performance of AI models
About the team
Amazon strives to be the world’s most customer-centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them. The AGI organization provides AI capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data development services to our customers, that enables them to build advanced ML models.