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Principal Research Scientist in AI
2 months ago
Position Overview: As a Senior Applied Scientist in the realm of Search Science and Artificial Intelligence, you will play a pivotal role in enhancing one of the most utilized search engines globally, which processes billions of products and caters to a vast customer base.
Project Focus: We are embarking on an innovative AI-driven initiative aimed at reimagining our search capabilities through advanced deep learning methodologies. This project seeks to achieve significant advancements in the application of Machine Learning (ML) on extensive datasets, leveraging cutting-edge systems engineering and hardware enhancements.
Research Questions: Over the upcoming years, we aim to explore critical questions such as:
- Can we enhance model accuracy by integrating supervised multitask training with unsupervised techniques?
- Is it feasible to apply our customer insights across various languages and regions?
- Can focusing on compilers and specialized hardware expedite model training while minimizing costs?
Opportunity: This is a unique chance to contribute to the foundational development of next-generation search technologies at Amazon.
Ideal Candidate: We seek exceptional scientists and ML engineers who are driven by innovation and impact, and who thrive in a collaborative, startup-like environment within a larger organization.
Key Responsibilities:
- Train extensive deep learning models comprising hundreds of billions of parameters.
- Establish scientific directions for the team, focusing on efficient model architecture, training optimization, and advanced parallel techniques.
Qualifications:
- Minimum of 5 years of experience in developing machine learning models for business applications.
- PhD or Master's degree with at least 10 years of applied research experience.
- Proficiency in programming languages such as Java, C++, or Python.
- Experience with neural deep learning methods and machine learning frameworks.
- Familiarity with modeling tools including R, scikit-learn, Spark MLLib, MxNet, TensorFlow, numpy, and scipy.
- Experience with large-scale distributed systems like Hadoop and Spark.
- Background in professional software development.
- Publications in top-tier peer-reviewed conferences or journals.
- Experience in developing large language models, particularly in Search and Ads systems.
Diversity and Inclusion: Amazon is dedicated to fostering a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status.
Compensation: Our compensation reflects the labor market across various US regions. The base salary for this role varies based on location and is influenced by job-related knowledge, skills, and experience. Amazon offers a comprehensive compensation package that may include equity, sign-on bonuses, and a wide range of medical and financial benefits.
