Do you want to join an innovative team of engineers and scientists who use terabytes of data and create state-of-the-art algorithms to push the boundaries of AI? We are building the foundational behavioral model for Amazon Stores using LLM and Large Model training techniques that fuses general world knowledge with Amazon e-commerce domain knowledge. We are searching for engineers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry.
So, if you're passionate about pushing the limits of AI, thrive in a fast-paced and innovative environment, and are ready to make a lasting impact on the world, this is your chance! Join us on this revolutionizing adventure!
Key job responsibilities
- Ability to quickly learn cutting-edge technologies and algorithms in the field of Generative AI and LLMs.
- Responsible for the development and maintenance of key platforms needed for developing, evaluating and deploying LLM for real-world applications.
- 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 while optimizing
We are open to hiring candidates to work out of one of the following locations:
San Diego, CA, USA | Seattle, WA, USA
So, if you're passionate about pushing the limits of AI, thrive in a fast-paced and innovative environment, and are ready to make a lasting impact on the world, this is your chance! Join us on this revolutionizing adventure!
Key job responsibilities
- Ability to quickly learn cutting-edge technologies and algorithms in the field of Generative AI and LLMs.
- Responsible for the development and maintenance of key platforms needed for developing, evaluating and deploying LLM for real-world applications.
- 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 while optimizing
We are open to hiring candidates to work out of one of the following locations:
San Diego, CA, USA | Seattle, WA, USA