AI Researcher

1 month ago

London, Greater London, United Kingdom Amazon Full time
Job Overview

A unique opportunity has arisen at Amazon for a highly skilled Machine Learning Research Scientist to join the cutting-edge Generative AI Innovation Center. This role will enable you to drive innovation in a fast-paced organization, leveraging state-of-the-art generative AI algorithms to address real-world challenges.

Responsibilities
  • Collaborate with scientists and engineers to research, design, and develop innovative generative AI solutions.
  • Work closely with customer engagement teams to understand adoption patterns for generative AI and share insights across teams and leadership.
  • Interact directly with customers to understand business problems, provide implementation guidance, and deliver briefing sessions on generative AI best practices.
  • Create and deliver tutorials, blog posts, sample code, and presentations tailored to technical, business, and executive stakeholders.
  • Provide feedback to Product and Engineering teams to inform product direction.
About the Team

The AWS Global Support team interacts with leading companies, emphasizing world-class support as critical to customer success. Our Professional Services engage in diverse projects, providing collective AWS customer experience, best practices, and obsessing about strong customer success.

Requirements
  • At least 2+ years of experience building machine learning models or developing algorithms for business applications.
  • Masters degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics, or equivalent quantitative field.
  • Proven knowledge of deep learning and experience hosting and deploying ML solutions.
Preferred Qualifications
  • PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics, or equivalent quantitative field.
  • Working knowledge of generative AI and hands-on experience in prompt engineering, deploying, and hosting Large Foundational Models.
  • Hands-on experience building models with deep learning frameworks like Tensorflow, PyTorch, or MXNet.
Benefits and Culture

AWS values diversity, inclusivity, and a culture of innovation. We strive for work-life harmony, offering flexible working arrangements and promoting ongoing learning experiences through employee-led affinity groups and conferences like Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity).

Why Choose Amazon?

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform, driving revenue, adoption, and growth from small to enterprise-level customers. We're committed to furthering our culture of inclusion and recognize the value of diverse experiences.

Estimated Salary: $120,000 - $180,000 per year

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