• Research Manager - Alexa Text to Speech

    Location UK-Cambridge
    Posted Date 9 months ago(21/09/2017 18:48)
    Job ID
    580920
    Company
    Evi Technologies Limited
  • Job Description

    Want to work on one of the coolest and most innovative pieces of technology in recent years? We built Amazon Alexa, the Amazon cloud service that powers devices such as Amazon Echo, Echo Dot FireTV, and Amazon Tap. We’re on a journey to build the Star Trek computer for customers. Come join us, together we will revolutionize the way people interact with devices and services! We are inventing the future.

    Your machine learning leadership skills can help make that a reality on the Amazon Text to Speech (TTS) team. We are seeking a Research Manager to lead a team of experts in the field of TTS to break new ground in the world of speech. We work on machine learning problems for production of speech, dialogue systems and NLP.

    You'll work in a collaborative environment where your team can pursue ambitious, long-term research, with many peta-bytes of data, work on problems that haven’t been solved before, quickly implement and deploy their algorithmic ideas at scale, understand whether they succeed via statistically relevant experiments across millions of customers, and publish research. You'll see the work of your team directly improve the experience of customers on Alexa/Echo, AWS, mobile, and web.

    The successful candidate will have a PhD in Computer Science with a strong focus on machine learning, or a related field, 5+ years of practical experience applying ML to solve complex problems in signal processing, NLP or dialogue systems, and 2+ years of practical experience managing machine learning scientists. Great if you have a passion for speech and languages, but this is not a requirement.
    You will have significant influence on our overall strategy by helping define these product features, drive the system architecture, and spearhead the best practices that enable a quality product.

    A commitment to team work, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creating reliable, scalable, and high performance products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience building low-level solutions. This person has thrived and succeeded in delivering high quality technology products/services in a hyper-growth environment where priorities shift fast.

    Basic Qualifications

    · PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent);
    · 5+ years experience applying ML to solve complex problems for large-scale applications;
    · 2+ years experience managing Machine Learning Scientists;
    · Ability to distill informal customer requirements into problem definitions, dealing with ambiguity and competing objectives;
    · Ability to manage and quantify improvement in customer experience or value for the business resulting from research outcomes;
    · Experience hiring and leading experienced scientists as well as a successful record of developing junior members from academia/industry to a successful career track

    Preferred Qualifications

    · PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent);
    · Extensive knowledge and practical experience in several of the following areas: machine learning, statistics, NLP, deep learning, recommendation systems, dialogue systems;
    · Track record of scientific publications in premier journals and conferences;
    · Skilled with Java, C++, or other programming language, as well as with R, MATLAB, Python or similar scripting language;
    · Professional experience in software development (software design and development life cycle);
    · Ability to distill informal customer requirements into problem definitions, dealing with ambiguity and competing objectives;
    · Ability to manage and quantify improvement in customer experience or value for the business resulting from research outcomes;
    · Project management experience for working on cross-functional projects;
    · Proven achievements of developing and managing a long-term research vision and portfolio of research initiatives, with algorithms and models that have been successfully integrated in production systems;
    · Strong track record of hiring and leading experienced scientists as well as a successful record of developing junior members from academia/industry to a successful career track;
    · Superior verbal and written communication skills, ability to convey rigorous mathematical concepts and considerations to non-experts.
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