Senior Applied Scientist, AWS Lex

Amazon Science
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Job Description

  • Amazon AI is looking for a Senior Applied Scientist to join our
  • science team in the area of Speech and Natural Language Processing.
  • Our organization develops the science that drives the cloud-based AI
  • services of AWS. Our mission is to put the power of AI into the hands
  • of every developer. We seek to advance the state of the art in machine
  • learning to create services that delight our customers and meet
  • real-world business needs.
  • As a Sr.Applied Scientist you will partner with talented
  • scientists and engineers to design, train, test, and deploy machine
  • learning models. You will contribute to innovative features, improve
  • our services based on customer requirements and help maintain a highly
  • scalable data and model management infrastructure that supports
  • cutting-edge research. You will be responsible for translating
  • business and engineering requirements into deliverables and software
  • products.
  • We are looking for candidates who thrive in an exciting,
  • fast-paced environment and who have a strong personal interest in
  • learning, researching, and creating new technologies with high
  • customer impact.
  • Prior domain knowledge in speech, natural language processing, or
  • computer vision is strongly preferred; solid knowledge of fundamentals
  • of statistics, machine learning, and deep learning is
  • required. Candidates should possess strong software engineering
  • skills and several years of industry experience.

Inclusive Team Culture

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.

Work/Life Balance

Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.


  • PhD degree with 4 years of applied research experience or a Masters degree and 6+ years of experience of applied research experience
  • 3+ years of experience in building machine learning models for business application
  • Algorithm and model development experience for large-scale applications
  • Excellent programming skills (C/C++, python, Unix)
  • Practical experience in AI, Machine Learning/Deep Learning


  • Prior experience in speech, natural language processing, computer vision or related area
  • Familiarity with AWS infrastructure
  • Experience with large-scale distributed systems or high-performance computing

Company Info.

Amazon Science

Amazon Science examines the company’s approach to scientific innovation. Amazon believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields.

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Amazon Science is currently hiring Senior Applied Scientist Jobs in New York, NY, USA with average base salary of $160,000 - $240,000 / Year.

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