Sr. Applied Science Manager, AWS Transcribe

Key Skills

Java Programming, Leadership, Python Programming, C++, C Programming, SQL, Deep Learning

Job Description

Job summary
AWS is looking for a passionate, talented, and inventive
Scientist to help build industry-leading speech and language
technology. Our mission is to provide a delightful experience to AWS
customers by pushing the envelope in Automatic Speech Recognition
(ASR) and Conversational AI.

As a member of our AI team in AWS, you will be part of the
technical leadership. You will work alongside internationally
recognized experts to develop cutting-edge algorithms and modeling
techniques to advance the state-of-the-art in a range of speech
and language processing applications. Areas of interest include
noise robustness, end-to-end speech recognition, advanced deep learning
for acoustic and language modeling, adaptation, and spoken language understanding.

You will drive the development of innovative, scalable scientific
solutions, and you will influence the design of software stacks used
for building, evaluating, and deploying modeling artifacts.

As a hands-on scientific leader you will not only mentor and lead
junior and mid-level scientists but also collaborate with product and
engineering leaders to help shape the broader vision for our
services. Your work will directly impact millions of our customers in
the form of products that make use of speech and language
technology. We combine the culture of a startup, the innovation and
creativity of an R&D Lab, the resources of a mature organization, and
technical challenges at the scale of AWS.

You will bring deep expertise in speech recognition, machine learning,
and deep learning to the table. You are familiar with the state of the art in your field.

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.

BASIC QUALIFICATIONS

• PhD in Computer Science, Statistics, Electrical Engineering or another quantitative field
• 7+ years of experience in large-scale speech or natural language processing projects (e.g., commercial products or government projects)
• Excellence in scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field
• Publications in internationally recognized journals and conferences
• Solid software development experience (C/C++, python)
• Deep expertise in Machine Learning and Deep Learning

PREFERRED QUALIFICATIONS

• Thought leader in machine learning and speech recognition; deep familiarity with current ASR frameworks
• Significant experience in deploying scalable solutions to complex problems
• Excellent written and spoken communication skills.
  Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.