Applied Scientist, D2 Science and Analytics
DESCRIPTION:
At Amazon we strive to be earth's most customer centric company and we are one of the core science
teams in CS org tasked with the mission to making this happen. Are you curious about new platforms and technologies and have a desire to deliver world-class customer service? Are you excited by the idea of owning a problem and innovating on behalf of customers? Can you deal with ambiguity and keep up with the pace of a company whose cycles are measured in weeks, not years?
D2 Science & Analytics team is seeking an Applied Scientist to develop cutting-edge AI solutions leveraging LLM, ML and 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!
Responsibilities:
- Drive collaborative research and creative problem solving
- Apply scientific concepts to real-world business problems
- Create experiments and prototype implementations of new learning algorithms and prediction techniques
- Collaborate with engineering teams to design and implement software solutions for science problems
- Constructively critique peer research and mentor junior s and engineers
A day in the life
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 skill sets. 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”
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA
BASIC QUALIFICATIONS:
- 3+ years of building machine learning models for business application experience
- Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- Have publications at top-tier peer-reviewed conferences or journals
- Knowledge of programming languages such as C/C++, Python, Java or Perl
PREFERRED QUALIFICATIONS:
- Experience in professional software development- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- Experience building AI / LLM driven application.
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.
