Research Scientist, Alexa

3 weeks ago


Cambridge, United Kingdom Evi Technologies Limited Full time
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



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