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Applied Scientist II, AGI Sensory and Machine Learning Builder Services

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Amazon

8d ago

  • Job
    Full-time
    Mid & Senior Level
  • Data
    IT & Cybersecurity

AI generated summary

  • You should have an MS/PhD in EE, Computer Science, or Math, experience in speech/NLP systems, solid ML knowledge, software development skills, and strong communication abilities.
  • You will develop algorithms for speech recognition and language understanding, leveraging data and computing resources to enhance customer experiences.

Requirements

  • MS or PhD in Electrical Engineering, Computer Sciences, or Mathematics with specialization in speech recognition, natural language processing, or machine learning
  • Familiar with programming languages such as C/C++, Java, Perl or Python
  • Experience in building speech recognition and natural language processing systems (e.g. commercial speech products or government speech projects)
  • Solid Machine Learning background and familiar with standard speech and machine learning techniques
  • Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field
  • Solid software development experience
  • Good written and spoken communication skills

Responsibilities

  • Amazon is looking for a passionate, talented, and inventive Scientist with a strong machine learning background to help build industry-leading Speech and Language technology.
  • Our mission is to push the envelope in Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), and Audio Signal Processing, in order to provide the best-possible experience for our customers.
  • As a Speech and Language Scientist, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art in spoken language understanding.
  • 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 spoken language understanding.
  • We are hiring in the area of speech recognition (ASR) and associated technologies.
  • Experience in building speech recognition and natural language processing systems (e.g. commercial speech products or government speech projects).
  • Solid Machine Learning background and familiar with standard speech and machine learning techniques.
  • Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field.
  • Solid software development experience.
  • Good written and spoken communication skills.

FAQs

What educational background is required for the Applied Scientist II position?

A Master's or PhD in Electrical Engineering, Computer Sciences, or Mathematics with a specialization in speech recognition, natural language processing, or machine learning is required.

What programming languages should candidates be familiar with?

Candidates should be familiar with programming languages such as C/C++, Java, Perl, or Python.

What will be the main focus of the work for this position?

The main focus will be on developing novel algorithms and modeling techniques to advance the state of the art in Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), and Audio Signal Processing.

Is experience in building speech recognition systems required?

Yes, experience in building speech recognition and natural language processing systems is required, including commercial speech products or government speech projects.

What is the importance of scientific thinking in this role?

Scientific thinking is essential in this role as it supports the ability to invent, encourages thought leadership, and fosters contributions that advance the field of speech and language technology.

Is solid software development experience a requirement for this position?

Yes, solid software development experience is required for the Applied Scientist II position.

Are good communication skills necessary for this role?

Yes, good written and spoken communication skills are necessary for effectively collaborating with peers and presenting findings.

Will this role involve working with large-scale computing resources?

Yes, this role will involve leveraging Amazon’s heterogeneous data sources and large-scale computing resources to enhance spoken language understanding.

What impact will this role have on customers?

The work in this role will directly impact customers by contributing to products and services that utilize advanced speech and language technology.

Is there a preference for candidates with a track record of thought leadership?

Yes, a track record of thought leadership and contributions that have advanced the field is highly valued for this role.

Amazon

Retail & Consumer Goods
Industry
10,001+
Employees
1994
Founded Year

Mission & Purpose

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1."​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.