The Alexa Edge AI team is looking for a passionate, talented, and innovative senior applied scientist with a strong background in deep learning and speech processing techniques. You will have an enormous opportunity to impact the customer experience, design, architecture, and implementation of an industry-leading product used every day by people you know. As an Applied Scientist, you will leverage Amazon’s heterogeneous data sources and large-scale computing resources to develop novel
machine learning algorithms to advance the state of the art in speech and audio processing.
Key job responsibilities
· Conduct applied research project(s) effectively and know when to ask for help and when to work independently
· Engage with an experienced cross-disciplinary staff to conceive and design innovative solutions for consumer products.
· Actively participate and contribute to research activities including publications and patents
· Work closely with an internal inter-disciplinary team, and outside partners to drive key aspects of product definition, execution and test.
· Be proactive, flexible and able to succeed within an open collaborative peer environment
- 5+ years of building
machine learning models for business application experience
- PhD, or Master's degree and 7+ years of applied research experience
- Experience programming in
Java,
C++,
Python or related language
- Experience with neural deep learning methods and
machine learning
- Experience with modeling tools such as R,
scikit-learn,
Spark MLLib, MxNet,
Tensorflow,
numpy,
scipy etc.
- Experience with large scale
distributed systems such as
Hadoop,
Spark etc.
- Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit
https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, Sunnyvale - 192,200.00 - 260,000.00
USD annually
USA, MA, Boston - 167,100.00 - 226,100.00
USD annually