This inclusive employer is a member of myGwork the largest global platform for the LGBTQ+ business community.
If you are interested in applying for this job, please make sure you meet the following requirements as listed below.
Description
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.
About The Team
AWS Utility Computing (UC) provides product innovations from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry.
As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.
Basic Qualifications
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 3+ years of building models for business application experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas : algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Preferred Qualifications
- Experience using Unix / Linux
- Experience in professional software development
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000 / year in our lowest geographic market up to $222,200 / year in our highest geographic market.
Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.
Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and / or other benefits.
For more information, please visit https : / / www.aboutamazon.com / workplace / employee-benefits. This position will remain posted until filled.
Applicants should apply via our internal or external career site.
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