Applied Scientist, US Prime & Marketing Technology (UPMT)
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 can 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.
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.
* 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).
Qualifications
* 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 (optional additional qualification listed).
* 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).
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