Job Location: Remote
- PhD degree in computer science, operations research, statistics, engineering, mathematics, or related field
- 2+ years of experience in managing a team of scientists (applied scientist/research scientist)
- 5+ years of experience in the field with a proven track record
- Experience with fast prototyping
- Experience with object oriented languages and efficient low level coding
- Experience with data mining or machine learning applications
- Experience working effectively with software engineering teams
- Strong publication record at top conferences and journals
AWS AI Labs – ASR Science Team is hiring Applied Scientists and Research Engineers at all levels, both individual contributors and people leaders, in the Seattle Area, Bay Area, Southern California, New York Area, and many other locations worldwide.
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.
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.
- 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
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.