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PhD Research Scientist

2 months ago

London, Greater London, United Kingdom ENGINEERINGUK Full time
About the Role

We are seeking a highly skilled PhD Research Scientist to join our team at ENGINEERINGUK. As a key member of our Offer Recommendations team, you will play a crucial role in building and guiding machine learning models from the ground up.

Key Responsibilities
  • Design and implement scalable personalisation solutions using machine learning techniques.
  • Lead the design of machine learning models that scale to large quantities of data and serve low-latency recommendations to all customers worldwide.
  • Embodiment of scientific rigor in designing and executing experiments to demonstrate the technical efficacy and business value of your methods.
  • Collaborate with a multidisciplinary group of engineers and scientists to improve the customer experience for Prime Video and the wider Amazon organization.
  • Provide machine learning thought leadership to both technical and business leaders, with the ability to think strategically about business, product, and technical challenges.
About the Team

As a member of the Offer Recommendations team, you will spend your time as a hands-on machine learning practitioner and a research leader. You will work alongside a science and engineering team that embodies the customer obsession principle by developing recommendation systems and raising the profile of Amazon as a global leader in machine learning and personalisation.

Requirements
  • PhD, or a Master's degree and experience in CS, CE, ML or related field research.
  • Experience programming in Java, C++, Python or related language.
  • Experience in building machine learning models for business application.
  • Experience with contextual bandits, off-policy evaluation and learning to rank models.
  • Experience with AWS technologies such as CDK, Redshift, S3, AWS Glue, Sagemaker, Kinesis, FireHose, Lambda, and IAM roles and permissions.
Preferred Qualifications
  • Experience using Unix/Linux.
  • Experience in professional software development.
  • Experience working within an Agile environment working with software engineers to launch products for customers.