Sr. Applied Scientist, RISC

Description

We are seeking an exceptional Sr. Applied Scientist to join a team of experts in the field of machine learning, and work together to tackle challenging problems across diverse compliance domains. We leverage and train state-of-the-art multi-modal and large-language-models (LLMs) to detect illegal and unsafe products across the Amazon catalog. We work on machine learning problems for multi-modal classification, intent detection, information retrieval, anomaly and fraud detection, and generative AI.

This is an exciting and challenging position to deliver scientific innovations into production systems at Amazon-scale to make immediate, meaningful customer impacts while also pursuing ambitious, long-term research. You will work in a highly collaborative environment where you can analyze and process large amounts of image, text and tabular data. You will work on hard science problems that have not been solved before, conduct rapid prototyping to validate your hypothesis, and deploy your algorithmic ideas at scale. There will be something new to learn every day as we work in an environment with rapidly evolving regulations and adversarial actors looking to outwit your best ideas.

Key job responsibilities

• Design and evaluate state-of-the-art algorithms and approaches in multi-modal classification, large language models (LLMs), intent detection, information retrieval, anomaly and fraud detection, and generative AI
• Translate product and CX requirements into measurable science problems and metrics.
• Collaborate with product and tech partners and customers to validate hypothesis, drive adoption, and increase business impact
• Key author in writing high quality scientific papers in internal and external peer-reviewed conferences.

A day in the life

Understanding customer problems, project timelines, and team/project mechanisms

Proposing science formulations and brainstorming ideas with team to solve business problems

Writing code, and running experiments with re-usable science libraries

Reviewing labels and audit results with investigators and operations associates

Sharing science results with science, product and tech partners and customers

Writing science papers for submission to peer-review venues, and reviewing science papers from other scientists in the team.

Contributing to team retrospectives for continuous improvements

Driving science research collaborations and attending study groups with scientists across Amazon

About The Team

We are a team of applied scientists building AI/ML solutions to make Amazon Earth’s most trusted shopping destination for safe and compliant products.

Basic Qualifications

• PhD, or Master's degree and 5+ years of applied research experience
• Experience with any programming language such as Python, Java, C++
• Experience in machine learning, statistics, and deep learning
• Experience with conducting research in a corporate setting

Preferred Qualifications

• Experience with training and deploying machine learning systems to solve large-scale optimizations
• Master's degree in computer science, machine learning, engineering, or related fields, or experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final