Applied Scientist, AWS Lex

Key Skills

Unix Operating system, Java Programming, Python Programming, C++, C Programming, SQL, AWS

Job Description

Job summary
Amazon AI is looking for an 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 an 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.

BASIC QUALIFICATIONS

• PhD (or another quantitative field)
• 2+ years of practical experience
• Algorithm and model development experience for large-scale applications
• Excellent programming skills (C/C++, python, Unix)
• Practical experience in AI, Machine Learning/Deep Learning

PREFERRED QUALIFICATIONS

• 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