Research Scientist, Alexa

The Amazon Artificial General Intelligence (AGI) team is looking for a passionate, highly skilled and inventive Senior Applied Scientist with strong machine learning background to lead the development and implementation of state-of-the-art ML systems for building large-scale, high-quality conversational assistant systems. As a Senior Applied Scientist, you will play a critical role in driving the development of personalization techniques enabling conversational systems, in particular those based on large language models, to be tailored to customer needs. You will handle Amazon-scale use cases with significant impact on our customers' experiences.

Key job responsibilities
- Drive new initiatives applying Machine Learning techniques to improve our recommendation, search, NLU and entity matching algorithms
- Perform hands-on data analysis and modeling with large data sets to develop insights that increase device usage and customer experience
- Design and run A/B experiments, evaluate the impact of your optimizations and communicate your results to various business stakeholders
- Work closely with product managers and software engineers to design experiments and implement end-to-end solutions
- Setup and monitor alarms to detect anomalous data patterns and perform root cause analyses to explain and address them
- Be a member of the Amazon-wide Machine Learning Community, participating in internal and external MeetUps, Hackathons and Conferences
- Help attract and recruit technical talent; mentor junior scientists

We are open to hiring candidates to work out of one of the following locations:

Cambridge, GBR | London, GBR

Basic Qualifications

- PhD
- Experience in machine learning, statistics, and deep learning
- Experience analyzing both experimental and observational data sets
- Knowledge of R, MATLAB, Python or similar scripting language
- Experience with experimental design

Preferred Qualifications

- Experience conducting research on a global scale
- Experience with NLP and LLM algorithms and tools a plus
- Experience performing and interpreting A/B experiments
- Excellent verbal/written communication skills, including an ability to effectively collaborate with research and technical teams

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

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