Senior Applied Scientist, Device, Digital and Alexa Support
DESCRIPTION
Amazon revolutionized customer service, now we are changing what customers expect from technical support. Device, Digital and Alexa Support (D2AS) is responsible for the Customer Service operations and solutions for all Amazon Devices and Digital products, from Kindle and Echo, to Amazon Music and Prime Video.
We’re seeking an Applied Scientist to develop world-class AI solutions leveraging Large Language Models (LLM), Machine Learning (ML) and Natural Language Processing (NLP) techniques to understand and resolve customer issues and provide earth's best customer service. We are looking for individuals with a passion for learning, researching, and deploying production-ready science solutions in a highly collaborative environment. We like to ideate, experiment, iterate, optimize and scale quickly, while thoughtfully balancing speed and quality
If you have experience with two or more of the following:
- Research and implementation of multi-turn task-oriented dialogue systems
- Natural Language Understanding / Spoken Language Understanding
- Information Retrieval, Question Answering, Semantic Representation
- Zero-shot or Few-shot Learning
- Crowdsourced NLU annotation best practices
- Reinforcement Learning (preferably in an NLP application)
- Computational Linguistics
- Large scale text classification
Then we want to hear from you!
Key job responsibilities
- Deliver solutions to the core business problems and influencing business partners
- Establish scientific culture and standards for all the scientists (publication, best practices, reviews, etc.)
- Apply scientific concepts to real-world business problems.
- Create experiments and prototype implementations of new learning algorithms and prediction techniques.
- Collaborate with product and engineering teams to design and implement software solutions for science problems
- Constructively critique peer research and mentor junior scientists and engineers.
A day in the life
We thrive on solving challenging problems to innovate for our customers. By pushing the boundaries of technology, we create unparalleled experiences that enable us to rapidly adapt in a dynamic environment.
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
Benefits Summary:
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan”
BASIC QUALIFICATIONS
- Master's degree in computer science, machine learning, statistics, mathematics or equivalent quantitative field
- 5+ years of building deep learning or machine learning models for business application experience
- Deep knowledge in one or more areas of machine learning or deep learning
- Proficient with common ML and DL frameworks such as PyTorch
- Experience programming in Java, Python or related language
PREFERRED QUALIFICATIONS
- PhD in computer science, machine learning, statistics, mathematics or equivalent quantitative field
- Experience in patents or publications at top-tier peer-reviewed conferences or journal
- Strong experience with NLP and generative deep learning models (i.e. LLM).
- Exceptional communication and collaboration 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.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/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.