Applied Scientist, US Prime & Marketing Technology (UPMT)

Job Description:

Are you a scientist passionate about advancing the frontiers of computer vision, machine learning, or large language models? Do you want to work on innovative research projects that lead to innovative products and scientific publications? Would you value access to extensive datasets? If you answer yes to any of these questions, you'll find a great fit at Amazon.

We're seeking a hands-on researcher eager to derive, implement, and test the next generation of Generative AI, computer vision, ML, and NLP algorithms. Our research is innovative, multidisciplinary, and far-reaching. We aim to define, deploy, and publish pioneering research that pushes the boundaries of what's possible.

To achieve our vision, we think big and tackle complex technological challenges at the forefront of our field. Where technology doesn't exist, we create it. Where it does, we adapt it to function at Amazon's scale. We need team members who are passionate, curious, and willing to learn continuously.

Key job responsibilities
* Derive novel computer vision and ML models or LLMs/VLMs.
* Design and develop scalable ML models.
* Create and work with large datasets
* Work with large GPU clusters.
* Work closely with software engineering teams to deploy your innovations.
* Publish your work at major conferences/journals.
* Mentor team members in the use of your AI models.

A day in the life
As an Applied Scientist at Amazon, your typical day might look like this:

* Dive into coding, deriving new ML models for computer vision or NLP
* Experiment with massive datasets on our GPU clusters
* Brainstorm with your team to solve complex AI challenges
* Collaborate with engineers to turn your research into real products
* Write up your findings for publication in top journals or conferences
* Mentor junior team members on AI concepts and implementation

About the team
DiscoVision, a science unit within Amazon's UPMT, focuses on advancing visual content capabilities through state-of-the-art AI technology. Our team specializes in developing state-of-the-art technologies in text-to-image/video Generative AI, 3D modeling, and multimodal Large Language Models (LLMs)

Candidate Requirements:

- PhD, or a Master's degree and experience in CS, CE, ML or related field
- Experience in building models for business application
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- PhD
- Experience building machine learning models or developing algorithms for business application
- Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms
- Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

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