Level

Amazon

Deep Learning Scientist

Amazon is hiring a Deep Learning Scientist in London, United Kingdom. Level rates it ; you can apply on Amazon.

Level's read on this job

  • On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
  • The posting mentions Java, C and Python among its tools and skills.
  • Level classes it as a senior role.
  • Amazon has 22,000+ other open roles on Level.
  • Posted in the last few days.

AI in this role

Deep Learning Scientist to research and develop novel spoken language generation and AI models for Alexa's voice technology.

javacpythonsql
deep-learningmachine-learningspeech-recognitionnatural-language-processingstatistical-modeling
We are the Audible Research team and our goal is to improve the core technology to improve Alexa's voice and make it more human-like and expressive.

We are looking for a passionate, talented, and inventive Scientist with a strong background in Machine/Deep Learning to join us in beautiful Cambridge, UK. Our mission is to push the envelope in computer-generated speech in order to provide the best-possible experience for our customers

As an applied scientist, you will work with talented peers to develop novel algorithms and modelling techniques to advance the state-of-the-art in spoken language generation. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in computer generated speech.

Position Responsibilities:
- Research and implement novel Machine/Deep Learning approaches which add value to Amazon
- Lead and Mentor junior engineers and scientists
- Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for spoken language applications
- Develop and/or apply statistical modelling methods (e.g. deep neural networks), optimizations, and other ML techniques to different applications in spoken language engineering


Basic qualifications

- Experience programming in Java, C++, Python or related language
- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse

Preferred qualifications

- Experience implementing algorithms using both toolkits and self-developed code
- Have publications at top-tier peer-reviewed conferences or journals

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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

Deep Learning Scientist at Amazon rates 95 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Deep learningMachine learningSpeech RecognitionNatural Language ProcessingStatistical ModelingJavaCPython

Questions you could be asked

  1. Tell me about a project where deep learning was part of your work. What did you do?
  2. Tell me about a project where machine learning was part of your work. What did you do?
  3. Tell me about a project where speech recognition was part of your work. What did you do?
  4. Tell me about a project where natural language processing was part of your work. What did you do?
  5. Tell me about a project where statistical modeling was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Deep learning, Machine learning, Speech Recognition, Natural Language Processing, and Statistical Modeling. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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