Amazon

Applied Scientist - Information Retrieval And Natural Language Processing

3+ months agoLondon, United Kingdom

DESCRIPTION

You: Alexa, I am looking for a new impactful role where I could tackle the next big research challenge, what do you suggest?

Alexa: The Alexa Shopping team is looking for applied research leaders/scientists to help me become the best personal assistant. Do you want to hear more?

You: Yes, please!

Alexa: As an Applied Scientist in the Alexa Shopping team, you will be investigating and developing machine learning and natural language processing technologies to help Alexa turn into the best and most trustworthy personal assistant.

The team you will specifically be working with has expertise in deep learning, user modelling, probabilistic modelling, natural language processing, information retrieval, crowdsourcing, and other related fields. We employ all these technologies to continually improve the experience of Alexa customers, focusing on the shopping domain. Your work within this team will combine research on machine learning and natural language processing, systems and software development, exploration of new technologies, as well as publications and presentations at top scientific conferences.

BASIC QUALIFICATIONS

• Ph.D. in Machine Learning, Natural Language Processing, Information Retrieval or a related discipline
• Strong publication record at top academic conferences such as ACL, SIGIR, NeurIPS, ICML, AISTATS, ICLR, KDD, etc.
• Familiar with programming languages languages such as Python, C, C++, Java etc.
• Very good written and verbal communication skills

PREFERRED QUALIFICATIONS

• 4+ years of industrial/academic experience in either of machine learning/ natural language processing/information retrieval and their applications or statistical methods.
• Experience in serving in senior roles at top academic conferences

Take a look at https://www.amazon.science/ to learn more about research highlights and publications from the Amazon science 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/internal/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

All offers are conditional on references, verification of the right to work in the UK, and successful background screening check. This will include previous employment verification, qualification verification (if relevant) and a relevant criminal check.

Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect, use and transfer the personal data of our candidates.

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Job ID: Amazon-1465214