Applied Scientist

Who you are

• PhD, or a Master's degree and experience in CS, CE, ML or related field research
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
• Experience in building machine learning models for business application
• Experience using Unix/Linux
• Experience in professional software development

What the job involves

• We are looking for an Applied Scientist for our London office experienced in generative AI and large models
• This is a wide impact role working with development teams across the UK, India, and the US
• You will develop and deploy customized models for PV builders needs at scale, and explore emerging techniques that help us make better decisions faster for agentic solutions
• This is a hands-on role working with a high performing and high visibility multidisciplinary group of engineers and scientists in the London office, focused on improving the PV builders experience for Prime Video organization
• You will have strong technical ability, excellent teamwork and communication skills, and a strong motivation to deliver customer value from your research
• Our position offers opportunities to grow your technical and non-technical skills and make a global impact immediately
• Develop machine learning algorithms for high-scale recommendations problems
• Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative analysis and business judgement
• Collaborate with software engineers to integrate successful experimental results into Prime Video wide processes
• Report and share results with the team and wider scientific community by authoring documents that are both statistically rigorous and compellingly relevant, exemplifying good scientific practice in a business environment
• You will lead the design of machine learning models that scale to very large quantities of data across multiple dimensions. You will embody scientific rigor, designing and executing experiments to demonstrate the technical effectiveness and business value of your methods. You will work alongside other scientists and engineering teams to deliver your research into production systems
• Our team owns Prime Video observability features for development teams. We consume PBs of data daily which feed into multiple observability features focussed on reducing the customer impact time