Are you a scientist interested in pushing the state of the art in computer vision, ML, or LLMs? Are you interested in working on ground-breaking research projects that will lead to great products and scientific publications? Do you wish you had access to large datasets? Answer yes to any of these questions and you'll fit right in here at Amazon.
We are looking for a hands-on researcher, who wants to derive, implement, and test the next generation of Generative AI, computer vision, ML and NLP algorithms. The research we do is innovative, multidisciplinary, and far-reaching. We aim to define, deploy, and publish cutting edge research. In order to achieve our vision, we think big and tackle technological problems that are cutting edge. Where technology does not exist, we will build it. Where it exists, we modify it to make it work at Amazon scale. We need members who are passionate and willing to learn.
Key job responsibilities:
Derive novel computer vision and ML models or LLMs/LMMs.Design and develop scalable ML models.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. About the team:
We are a tight-knit group that shares our experiences and help each other succeed. We believe in teamwork. We love hard problems and like to move fast in a growing and changing environment. We use data to guide our decisions and we always push the technology and process boundaries of what is feasible on behalf of our customers. If that sounds like an environment you like, join us.
Minimum Requirements:
PhD.Experience in building machine learning models for business application.Experience in patents or publications at top-tier peer-reviewed conferences or journals.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).Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF. 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.
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