Amazon
Software Dev Engineer, Amazon Search, Amazon
Amazon, Sunnyvale, California, United States, 94087
Software Dev Engineer, Amazon Search, Amazon
Job ID: 2737857 | Amazon.com Services LLCWe’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 a strong Software Development Engineer with domain expertise in ML/LLM inference frameworks. You will devise innovative solutions at scale, pushing the technological and science boundaries. You will guide the design, research and implementations of optimization frameworks to drive latency reduction and throughput improvement for large-language model. You will devise and implement efficient LLM inference serving and development frameworks. 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
3+ years of non-internship professional software development experience2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experienceExperience programming with at least one software programming languageExperience in machine learning, data mining, information retrieval, statistics or natural language processingPREFERRED QUALIFICATIONS
3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experienceBachelor's degree in computer science or equivalentAmazon 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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Job ID: 2737857 | Amazon.com Services LLCWe’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 a strong Software Development Engineer with domain expertise in ML/LLM inference frameworks. You will devise innovative solutions at scale, pushing the technological and science boundaries. You will guide the design, research and implementations of optimization frameworks to drive latency reduction and throughput improvement for large-language model. You will devise and implement efficient LLM inference serving and development frameworks. 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
3+ years of non-internship professional software development experience2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experienceExperience programming with at least one software programming languageExperience in machine learning, data mining, information retrieval, statistics or natural language processingPREFERRED QUALIFICATIONS
3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experienceBachelor's degree in computer science or equivalentAmazon 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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