Senior Software Engineer - Generative AI, AGI Inference Engine at Amazon
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generative ai
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Are you interested in advancing Amazon's Generative AI capabilities? Come work with a talented team of engineers and scientists in a highly collaborative and friendly team. We are building state-of-the-art Generative AI technology that will benefit all Amazon businesses and customers.
Key job responsibilities
As a Senior Software Development Engineer, you will be responsible for designing, developing, testing, and deploying high performance inference capabilities, including but not limited to multi-modality, SOTA model architectures, latency, throughput, and cost. You will collaborate closely with a team of engineers and scientists to influence our overall strategy, and define the team’s roadmap. You will drive system architecture, spearhead best practices, and mentor junior engineers.
A day in the life
You will read papers and consult with scientists to get inspiration of emerging techniques, and blend those into our roadmap; You will design and experiment with new algorithms, benchmark the latency and accuracy of your implementations; Most importantly you will implement production grade solutions, and see them through the deployments swiftly; You may need to collaborate with other science and engineering teams to get things done properly; You will hold highest bar in operational excellence and support production systems, and constantly create solutions to minimize the ops load.
About the team
Our mission is to build best-in-class, fast, accurate, and cost-efficient large language model inference solutions and infrastructure that will enable Amazon businesses to deliver more value to their customers.
Key job responsibilities
As a Senior Software Development Engineer, you will be responsible for designing, developing, testing, and deploying high performance inference capabilities, including but not limited to multi-modality, SOTA model architectures, latency, throughput, and cost. You will collaborate closely with a team of engineers and scientists to influence our overall strategy, and define the team’s roadmap. You will drive system architecture, spearhead best practices, and mentor junior engineers.
A day in the life
You will read papers and consult with scientists to get inspiration of emerging techniques, and blend those into our roadmap; You will design and experiment with new algorithms, benchmark the latency and accuracy of your implementations; Most importantly you will implement production grade solutions, and see them through the deployments swiftly; You may need to collaborate with other science and engineering teams to get things done properly; You will hold highest bar in operational excellence and support production systems, and constantly create solutions to minimize the ops load.
About the team
Our mission is to build best-in-class, fast, accurate, and cost-efficient large language model inference solutions and infrastructure that will enable Amazon businesses to deliver more value to their customers.