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Principal Applied Scientist, Classification and Policy Expert
2 months ago
We are seeking a highly skilled Principal Applied Scientist to join our team at Amazon. As a key member of our classification and policy platform, you will be responsible for designing and implementing new features and machine learning models to solve complex problems in data classification and policy compliance.
Key Responsibilities- Design and implement new features and machine learning models, including the application of state-of-the-art deep learning techniques to solve matching and ranking problems.
- Conduct and coordinate process development leading to improved and streamlined processes for model development.
- Work closely with Product Managers to expand the depth of our product insights with data, create a variety of experiments, and determine the highest-impact projects to include in planning roadmaps.
- Provide technical and scientific guidance to fellow scientists and other team members.
- Resolve discordant views and bring people together effectively with data and a calm approach.
- Communicate effectively with senior management as well as with colleagues from science, engineering, and business backgrounds.
- Be a cultural leader that ensures teams are collecting, understanding, and using data to inform every decision that impacts our customers.
We are a tight-knit group of seasoned scientists, engineers, and product managers who work on science problems and publish our results at major conferences while delivering critical product innovations serving Amazon's customers. We work with multiple other science and engineering teams at Amazon.
Requirements- PhD in Computer Science or similar field.
- Extensive research experience in generative AI, machine learning.
- 10+ years of hands-on experience in machine learning.
- Proven record of developing new approaches, algorithms, application areas, etc.
- Excellent communication skills.
- Excellent skills in problem solving, programming, and computer science fundamentals.
- Extensive experience writing scientific papers, with multiple publications in top machine learning conferences/journals.
- Expertise in generative models, LLMs, or machine learning techniques.
- Experience working in a fast-paced, highly collaborative, dynamic work environment.
- Ability to communicate effectively across multiple organizations in the company.
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 our website.
