Amazon Web Services (AWS)
Machine Learning Engineer, Generative AI Innovation Center
Amazon Web Services (AWS), New York, New York, us, 10261
Overview
The Generative AI Innovation Center at AWS enables customers to harness state of the art AI technologies for transformative business opportunities. Our multidisciplinary team collaborates with customers across industries to fine-tune and deploy customized generative AI applications at scale, and to optimize AI models for Amazon Silicon. Responsibilities
Large-Scale Training Pipelines: Design and implement distributed training pipelines for LLMs using tools such as Fully Sharded Data Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency LLM Customization & Fine-Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF) Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK and developing custom kernels for enhanced performance Customer Collaboration: Interact with enterprise customers and foundational model providers to understand their business and technical challenges, co-developing tailored generative AI solutions Qualifications
Basic Qualifications: 3+ years non-internship professional software development experience 2+ years non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems Experience programming with at least one software programming language Hands-on experience with deep learning and/or machine learning methods (e.g. for training, fine tuning, and inference) Hands-on experience with generative AI technology Preferred Qualifications: 2+ years full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent 1+ years hands-on experience developing, deploying, or optimizing machine learning models using a recognized ML library or framework Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit the Amazon accommodations page for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/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. Depending 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 amazon.jobs/workplace-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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The Generative AI Innovation Center at AWS enables customers to harness state of the art AI technologies for transformative business opportunities. Our multidisciplinary team collaborates with customers across industries to fine-tune and deploy customized generative AI applications at scale, and to optimize AI models for Amazon Silicon. Responsibilities
Large-Scale Training Pipelines: Design and implement distributed training pipelines for LLMs using tools such as Fully Sharded Data Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency LLM Customization & Fine-Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF) Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK and developing custom kernels for enhanced performance Customer Collaboration: Interact with enterprise customers and foundational model providers to understand their business and technical challenges, co-developing tailored generative AI solutions Qualifications
Basic Qualifications: 3+ years non-internship professional software development experience 2+ years non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems Experience programming with at least one software programming language Hands-on experience with deep learning and/or machine learning methods (e.g. for training, fine tuning, and inference) Hands-on experience with generative AI technology Preferred Qualifications: 2+ years full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent 1+ years hands-on experience developing, deploying, or optimizing machine learning models using a recognized ML library or framework Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit the Amazon accommodations page for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/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. Depending 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 amazon.jobs/workplace-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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