Applied Scientist, Personalization & Recommender Systems

Amazon; New York (NY); On-site; USD 100,000 - 150,000; Full time

Benefits offered by this job

Access to large datasets

Tremendous computational resources

Opportunity to publish research

Job summary

Amazon is seeking an Applied Scientist in New York to research and develop cutting-edge AI technologies for personalization. You will be responsible for creating models that enhance shopping experiences while collaborating with scientists and engineers. Your work will include building AI solutions using deep learning and large language models and conducting experiments to evaluate their effectiveness.

Join a high-performing team that leverages Amazon's extensive resources to innovate in the e-commerce space, delivering features that improve customer experience. A PhD in a relevant field and proficiency in languages such as Python are required.

Qualifications

• Experience with machine learning algorithms and recommendation systems.
• Strong programming skills, particularly in Python.
• Ability to work collaboratively in a fast-paced environment.

Responsibilities

• Research and develop AI technologies for Personalization.
• Optimize shopping experience using large-scale models.
• Design and conduct A/B experiments to evaluate solutions.

Skills

Deep learning

Reinforcement learning

Large language models

Data analysis

Education

PhD in Computer Science or related field

Tools

Amazon Web Services

Python

Job description

Amazon is seeking an Applied Scientist in New York to research and develop cutting-edge AI technologies for personalization. You will be responsible for creating models that enhance shopping experiences while collaborating with scientists and engineers. Your work will include building AI solutions using deep learning and large language models and conducting experiments to evaluate their effectiveness.

Join a high-performing team that leverages Amazon's extensive resources to innovate in the e-commerce space, delivering features that improve customer experience. A PhD in a relevant field and proficiency in languages such as Python are required.