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Applied Scientist, Amazon
1 month ago
We’re working to improve shopping on Amazon using the conversational capabilities of large language models, and are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. You'll be working with talented scientists and engineers to innovate on behalf of our customers. If you're fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey
Key job responsibilities:
- We seek strong Applied Scientists with domain expertise in machine learning and deep learning, transformers, generative models, large language models, computer vision, and multimodal models.
- You will devise innovative solutions at scale, pushing the technological and science boundaries.
- You will guide the design, modeling, and architectural choices of state-of-the-art large language models and multimodal models.
- You will devise and implement new algorithms and new learning strategies and paradigms.
- You will be technically hands-on and drive the execution from ideation to productionization.
- You will work in a collaborative environment with other technical and business leaders, to innovate on behalf of the customer.
Basic Qualifications:
- Experience programming in Java, C++, Python or related language.
- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse.
- Experience implementing algorithms using both toolkits and self-developed code.
- Have publications at top-tier peer-reviewed conferences or journals.
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. For individuals with disabilities who would like to request an accommodation, please visit here .
This position will remain posted until filled. Applicants should apply via our internal or external career site.
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