Amazon
Machine Learning Engineer, Amazon Customer Service We are seeking a passionate and talented Machine Learning Engineer (MLE) to join our team in advancing state-of-the-art Generative AI technologies and Large Language Models (LLMs). In this role, you will design, develop, and deploy highly scalable AI models that benefit drivers, customer service associates, and customers.
Key job responsibilities include:
Collaborate with Applied Scientists to integrate state-of-the-art model architectures into the training pipeline and integrate state-of-the-art ML/LLM into CS system.
Collaborate with Applied Scientists to process massive data, scale LLM while optimizing GPU utilization, memory management, and the training workflows.
Cross-team collaboration to facilitate deployment and test of models in the production system.
Design and maintain large-scale distributed training systems to support multi-modal foundation models.
Optimize GPU utilization for efficient model training and fine-tuning on massive datasets.
Develop robust monitoring and debugging tools to ensure the reliability and performance of training workflows.
A day in the life: If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets.
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits include:
Medical, Dental, and Vision Coverage
Maternity and Parental Leave Options
Paid Time Off (PTO)
401(k) Plan
Basic Qualifications - 3+ years of non-internship professional software development experience
Increase your chances of an interview by reading the following overview of this role before making an application. - 2+ years of non-internship design or architecture experience - Experience programming with at least one software programming language - 1+ years of machine learning, statistical modeling, data mining, and analytics techniques experience Preferred Qualifications - 3+ years of full software development life cycle experience - Bachelor's degree in computer science or equivalent - Experience in machine learning, data mining, information retrieval, statistics or natural language processing
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. 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.
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Increase your chances of an interview by reading the following overview of this role before making an application. - 2+ years of non-internship design or architecture experience - Experience programming with at least one software programming language - 1+ years of machine learning, statistical modeling, data mining, and analytics techniques experience Preferred Qualifications - 3+ years of full software development life cycle experience - Bachelor's degree in computer science or equivalent - Experience in machine learning, data mining, information retrieval, statistics or natural language processing
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. 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.
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