Applied Scientist, Amazon Shopping Videos

Amazon; Seattle (WA); On-site; USD 136,000 - 224,000; Full time

Job summary

A leading tech company seeks an Applied Scientist for its Amazon Shopping Videos team. This role focuses on machine learning and AI to enhance the video experience for customers. Responsibilities include developing models for video content analysis and collaborating with engineering teams for real-time deployment. Ideal candidates have a strong background in machine learning, programming, and effective problem-solving. Join us to innovate shopping experiences that empower millions of customers worldwide.

Benefits

Comprehensive medical benefits

Equity options

Flexible work hours

Professional development opportunities

Qualifications

• 3+ years of applied research experience in machine learning.
• Experience in building machine learning models for business applications.
• Proficient in programming languages like Java, C++, Python.

Responsibilities

• Develop machine learning solutions for video analysis at scale.
• Design algorithms to extract insights from video datasets.
• Collaborate with engineering teams to implement models and features.

Skills

Machine Learning

AI

Computer Vision

Programming in Java

Programming in Python

Data Analysis

Algorithm Design

Education

PhD or Master's degree

Tools

R

scikit-learn

TensorFlow

Spark MLLib

MxNet

numpy

scipy

Job description

Applied Scientist, Amazon Shopping Videos

Job ID: 3006689 | Amazon.com Services LLC

Have you ever watched a product video while shopping on Amazon? Those helpful videos you see next to product images on product detail pages - that's us! We're the team behind Amazon's Integrated Video Experience (IVE), making shopping more informative and engaging for millions of customers every day.

When you're deciding whether to buy a coffee maker, checking out a new gadget, or learning how to use a product, our videos help you make confident purchasing decisions. These videos are seamlessly integrated throughout your shopping experience on Amazon.com, appearing right alongside product photos and details.

We're tackling exciting technical challenges to make this experience even better:

- Building sophisticated AI models to understand video content and answer customer questions about products
- Developing intelligent systems to recommend the most helpful videos at the right moment in the shopping journey
- Creating innovative solutions for automated video generation and content analysis
- Processing and analyzing massive amounts of video data to enhance shopping experiences at global scale

We're seeking an innovative Applied Scientist to help us advance the future of video commerce through machine learning and artificial intelligence. Join us in making product discovery and shopping decisions easier and more engaging for millions of Amazon customers worldwide.

Key job responsibilities
- Develop sophisticated machine learning solutions for video analysis and content moderation at scale
- Design and implement advanced algorithms to extract valuable insights from large video datasets, improving search functionality and content discovery
- Partner with engineering teams to deploy real-time models and create innovative product features
- Build automated, efficient, and scalable processes for comprehensive data analysis, model development, validation, and deployment
- Drive the adoption of technical best practices across teams
- Deliver production-quality code that creates superior customer experiences

About the team
We're a collaborative group of passionate scientists who thrive on solving complex problems with innovative solutions. Our team culture emphasizes:

- Working with advanced AI and ML technologies to build solutions that serve millions of customers worldwide
- Creating sophisticated models for content understanding and video generation
- Maintaining a healthy work-life balance while pursuing ambitious technical goals
- Fostering an environment where smart, passionate individuals collaborate to innovate

Join us in building the future of video-powered shopping experiences that help customers worldwide make better purchasing decisions through intelligent content recommendation and understanding.

BASIC QUALIFICATIONS

- PhD, or Master's degree and 3+ years of applied research experience
- 3+ years of building machine learning models for business application experience
- Experience programming in Java, C++, Python or related language

PREFERRED QUALIFICATIONS

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- 3+ years of building machine learning models for business application experience
- Experience with building Computer Vision models for business applications

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

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.

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 $223,400/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 . This position will remain posted until filled. Applicants should apply via our internal or external career site.

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