Machine Learning Scientist

15 hours ago


Bellevue, Washington, United States Amazon Full time
About the Role

At Amazon, we're pushing the boundaries of Artificial Intelligence to deliver exceptional customer experiences. We're seeking a talented Machine Learning Scientist to join our team and contribute to the development of innovative AI solutions.

As a Machine Learning Scientist, you'll have the opportunity to work on cutting-edge projects, collaborating with cross-functional teams to design, develop, and deploy AI-powered systems. You'll be responsible for building and deploying machine learning models, working closely with software engineering teams to integrate these models into production systems.

Key Responsibilities
  1. Design and develop machine learning models to solve complex business problems
  2. Collaborate with software engineering teams to integrate machine learning models into production systems
  3. Analyze and extract relevant information from large datasets to inform business decisions
  4. Work closely with the business to understand problem spaces and identify opportunities for AI-driven solutions
What We're Looking For

We're looking for a highly motivated and experienced Machine Learning Scientist with a strong background in machine learning, data mining, and statistical techniques. You should have a PhD or Master's degree in a relevant field and 4+ years of experience in building machine learning models for business applications.

Preferred qualifications include experience with generative deep learning models, such as CNNs, GANs, VAEs, and NF, as well as publications at top-tier peer-reviewed conferences or journals.

Why Amazon?

Amazon is a leader in cloud computing and AI research, with a strong commitment to innovation and customer satisfaction. We offer a dynamic and inclusive work environment, with opportunities for growth and development. As a Machine Learning Scientist at Amazon, you'll have the chance to work on cutting-edge projects, collaborate with talented colleagues, and make a real impact on our customers' experiences.


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