Amazon
Applied Scientist I, Amazon, Amazon
Amazon, Palo Alto, California, United States, 94306
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, engineers, and technical program managers (TPM) 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. Guide the design, modeling, and architectural choices of state-of-the-art large language models and multimodal models. Devise and implement new algorithms and new learning strategies and paradigms. Be technically hands-on and drive the execution from ideation to productionization. Work in a collaborative environment with other technical and business leaders, to innovate on behalf of the customer.
Minimum Qualifications
Experience programming in Java, C++, Python or related language. Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse. Master's degree or above in computer science, mathematics, statistics, machine learning or equivalent quantitative field. Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning. Experience researching machine learning, deep learning, NLP, computer vision, data science. 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,400/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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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. Guide the design, modeling, and architectural choices of state-of-the-art large language models and multimodal models. Devise and implement new algorithms and new learning strategies and paradigms. Be technically hands-on and drive the execution from ideation to productionization. Work in a collaborative environment with other technical and business leaders, to innovate on behalf of the customer.
Minimum Qualifications
Experience programming in Java, C++, Python or related language. Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse. Master's degree or above in computer science, mathematics, statistics, machine learning or equivalent quantitative field. Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning. Experience researching machine learning, deep learning, NLP, computer vision, data science. 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,400/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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