Job Information
Amazon Principal Applied Scientist in Seattle, Washington
Description
At Amazon, a large portion of our business is driven by third-party Sellers who set their own prices. The Pricing team is seeking a Principal Applied Scientist with expertise in Text Classification and Large Language models to use state-of-the-art techniques to help Sellers offer Customers great prices.
Job responsibilities
The Principal Applied Scientist will work closely with other scientists, machine learning experts, and economists to design and run experiments, research new algorithms, and find new ways to improve Seller Pricing to optimize the Customer experience. The Scientist will partner with technology and product leaders to solve business and technology problems using scientific approaches to build new services that surprise and delight our customers. An Applied Scientist at Amazon applies scientific principles to support significant invention, develops software code and are deeply involved in bringing their algorithms to production. They also work on cross-disciplinary efforts with other scientists within Amazon.
The key strategic objectives for this role include:
Research, design, and implement state-of-the-art text classification algorithms and models to address real-world problems in the Pricing domain
Work with large language models such as GPT-3, BERT, or similar architectures to build custom NLP solutions tailored to specific applications.
Develop and optimize neural network architectures for text classification tasks, including fine-tuning pre-trained models to drive actions at scale to provide low prices and increased selection for customers
Stay up-to-date with the latest advancements in NLP and machine learning research, and integrate new techniques into our projects.
Document research findings, develop technical reports, and contribute to patents or publications when applicable.
Please visit https://www.amazon.science for more information about amazon science
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA
Basic Qualifications
Ph.D. or Master's degree in Computer Science, Natural Language Processing, Machine Learning, or a related field.
10+ years of relevant, broad research experience after PhD degree or equivalent.
Proven expertise in text classification techniques, including deep learning methods, feature engineering, and model evaluation.
Proficiency in programming languages such as Python and libraries like TensorFlow, PyTorch, or Hugging Face Transformers.
A track record of conducting research in NLP, demonstrated by publications, projects, or contributions to the NLP community.
Proven written and verbal communication skills to convey complicated processes and systems to business partners.
Preferred Qualifications
15+ years of relevant experience.
Experience in applying NLP techniques in e-commerce and/or Pricing domain
Ability to deal with ambiguity and juggle competing priorities.
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 $159,100/year in our lowest geographic market up to $309,400/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. Applicants should apply via our internal or external career site.