Applied Scientist, Amazon Photos

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

Job summary

An established industry player is seeking an innovative Applied Scientist to join their dynamic team. This role focuses on leveraging AI to enhance customer experiences through advanced image and video processing. You will collaborate with cross-functional teams, develop cutting-edge models, and contribute to meaningful projects that impact millions of users. If you are passionate about AI and eager to tackle complex challenges, this opportunity offers a platform to make significant contributions in a rapidly evolving field. Join a culture that values diversity and fosters growth, and be part of a team that is committed to delivering exceptional results through technology.

Benefits

Medical Benefits

Financial Benefits

Equity Options

Sign-on Payments

Qualifications

• 3+ years of experience building models for business applications.
• Experience programming in Java, C++, or Python.

Responsibilities

• Collaborate with teams to solve complex problems in Visual-Language Model space.
• Design experiments to evaluate model performance and iterate for improvement.

Skills

Model Building

Programming in Java

Programming in C++

Programming in Python

Algorithms and Data Structures

Numerical Optimization

Data Mining

Parallel Computing

Distributed Computing

High-Performance Computing

Education

PhD in Computer Science

Master's Degree in CS, CE, or ML

Job description

Job ID: 2920518 | Amazon.com Services LLC

The Amazon Photos team is looking for a world-class Applied Scientist to join us and use AI to help customers relive their cherished memories. Our team of scientists have developed algorithms and models that power Amazon Photos features for millions of photos and videos daily. As part of the team, we expect that you will develop innovative solutions to hard problems at massive scale, and publish your findings in peer-reviewed conferences and workshops.

With all the recent advancements in Vision-Language models, Amazon Photos has completely re-thought the product roadmap and is looking for Applied Scientists to deliver both the short-term roadmap working closely with Product and Engineering and make investments for the long-term. Our research themes include, but are not limited to: foundational models, contrastive learning, diffusion models, few-shot and zero-shot learning, transfer learning, unsupervised and semi-supervised methods, active learning and semi-automated data annotation, deep learning, and large scale image and video detection and recognition.

Key job responsibilities

1. Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in Visual-Language Model space.
2. Design and execute experiments to evaluate the performance of different models, and iterate quickly to improve results.
3. Create robust evaluation frameworks for assessing model performance across different domains and use cases.
4. Think big about the Visual-Language Model space over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems within Amazon Photos.
5. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports.

About the team
Amazon Photos is one of the main digital products offered to Prime subscribers along with Amazon Music and Amazon Video. Amazon Photos provides unlimited photo storage and 5 GB for videos to Prime members and is a top Prime benefit in multiple marketplaces. AI-driven experiences based on image and video understanding are core to customer delight for the business. These experiences are delivered in our mobile, web and desktop apps, in Fire TV, and integrated into Alexa devices such as Echo Show. We solve real-world problems using AI while being a positive force for good.

BASIC QUALIFICATIONS

1. 3+ years of building models for business application experience.
2. PhD, or Master's degree and 3+ years of CS, CE, ML or related field experience.
3. Experience programming in Java, C++, Python or related language.
4. Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.

PREFERRED QUALIFICATIONS

1. PhD in computer science, machine learning, engineering, or related fields.
2. Experience in Large Vision/Language Models.
3. Excellent technical publications.
4. Material contributions to the CV/ML/AI field as related to image and video processing.

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.

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 this link 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 this link. This position will remain posted until filled. Applicants should apply via our internal or external career site.