Amazon Web Services (AWS)
Machine Learning Engineer, Model Customization, Generative AI Innovation Center
Amazon Web Services (AWS), Seattle, Washington, us, 98127
Job Title
Machine Learning Engineer, Model Customization, Generative AI Innovation Center
Company Amazon Web Services (AWS)
Location Seattle, WA
Compensation Base pay ranges from $129,300 to $223,600 per year in the U.S. Geographic markets.
Job ID A3081156
Job Details Seniority level:
Not Applicable
Employment type:
Full-time
Job function:
Research, Science, and Engineering
Industry:
IT Services and IT Consulting
Responsibilities
Design and implement distributed training pipelines for LLMs using tools such as Fully Sharded Data Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency.
Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and RLHF.
Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK and developing custom kernels for enhanced performance.
Interact with enterprise customers and foundational model providers to understand their business and technical challenges, co-developing tailored generative AI solutions.
Basic Qualifications
3+ years of non-internship professional software development experience.
2+ years of non-internship design or architecture experience of new and existing systems.
Bachelor's degree in computer science or equivalent.
Hands‑on experience with deep learning and/or machine learning methods (e.g., training, fine‑tuning, inference).
Hands‑on experience with generative AI technology.
Preferred Qualifications
3+ years of full software development life cycle experience, including coding standards, code reviews, source control, build processes, testing, and operations.
1+ year of programming with at least one software programming language.
1+ year of experience developing, deploying, or optimizing machine learning models using a recognized ML library or framework.
Company Information 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 our accommodations page. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Benefits & Perks Amazon provides a total compensation package that includes a base salary, equity, sign‑on payments, and a full range of medical, financial, and other benefits. For more information, please visit Amazon’s employee benefits page.
This position will remain posted until filled. Applicants should apply via our internal or external career site.
#J-18808-Ljbffr
Company Amazon Web Services (AWS)
Location Seattle, WA
Compensation Base pay ranges from $129,300 to $223,600 per year in the U.S. Geographic markets.
Job ID A3081156
Job Details Seniority level:
Not Applicable
Employment type:
Full-time
Job function:
Research, Science, and Engineering
Industry:
IT Services and IT Consulting
Responsibilities
Design and implement distributed training pipelines for LLMs using tools such as Fully Sharded Data Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency.
Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and RLHF.
Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK and developing custom kernels for enhanced performance.
Interact with enterprise customers and foundational model providers to understand their business and technical challenges, co-developing tailored generative AI solutions.
Basic Qualifications
3+ years of non-internship professional software development experience.
2+ years of non-internship design or architecture experience of new and existing systems.
Bachelor's degree in computer science or equivalent.
Hands‑on experience with deep learning and/or machine learning methods (e.g., training, fine‑tuning, inference).
Hands‑on experience with generative AI technology.
Preferred Qualifications
3+ years of full software development life cycle experience, including coding standards, code reviews, source control, build processes, testing, and operations.
1+ year of programming with at least one software programming language.
1+ year of experience developing, deploying, or optimizing machine learning models using a recognized ML library or framework.
Company Information 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 our accommodations page. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Benefits & Perks Amazon provides a total compensation package that includes a base salary, equity, sign‑on payments, and a full range of medical, financial, and other benefits. For more information, please visit Amazon’s employee benefits page.
This position will remain posted until filled. Applicants should apply via our internal or external career site.
#J-18808-Ljbffr