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Amazon Applied Scientist - II Intl Seller Growth 
United States, Washington, Seattle 
81114961

10.06.2024
DESCRIPTION

Key job responsibilities
- Apply your expertise in LLM models to design, develop, and implement scalable machine learning solutions that address complex language-related challenges in the international seller services domain.
- Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to define project requirements, establish success metrics, and deliver high-quality solutions.- Continuously explore and evaluate state-of-the-art NLP techniques and methodologies to improve the accuracy and efficiency of language-related systems.
Seattle, WA, USA

BASIC QUALIFICATIONS

- PhD, or Master's degree and 4+ years of solving business problems through machine learning, data mining and statistical algorithms experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)


PREFERRED QUALIFICATIONS

- Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF
- Experience in NLP, generative AI, LLM, or DL, RL.