Job ID: 2649531 | Amazon.com Services LLC
Are you a scientist interested in pushing the state of the art in Computer Vision, ML or LLMs forward? 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 algorithms (including Diffusion Models, auto-regressors, VAEs, or other generative models). 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 technology problems that are cutting edge. Where technology does not exist, we will build it. Where it exists we will need to modify it to make it work at Amazon scale. We need members who are passionate and willing to learn.
Key job responsibilities:
- Derive novel ML or Computer Vision or LLMs and NLP algorithms
- Design and develop scalable ML solutions
- Work with very large datasets
- Work closely with software engineering teams and Product Managers to deploy your innovations
- Publish your work at major conferences/journals
- Mentor team members in the use of your Generative AI and LLMs
BASIC QUALIFICATIONS
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- 1+ years of building models for business application experience
PREFERRED QUALIFICATIONS
- PhD
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- 3+ years of deep learning, computer vision, human robotic interaction, algorithms implementation experience
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.
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