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    Research Scientist, Alexa - Cambridge, United Kingdom - Evi Technologies Limited

    Evi Technologies Limited
    Evi Technologies Limited Cambridge, United Kingdom

    2 weeks ago

    Default job background
    Full time
    Description

    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 handson 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 endtoend 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 Amazonwide 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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