Amazon Web Services (AWS)
Machine Learning Engineer – Generative AI Innovation Center, AWS
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Machine Learning Engineer
role at
Amazon Web Services (AWS) .
The Generative AI Innovation Center at AWS empowers customers to harness state‑of‑the‑art AI technologies for transformative business opportunities. Our multidisciplinary team of strategists, scientists, engineers, and architects collaborates with customers across industries to fine‑tune and deploy customized generative AI applications at scale. We also work closely with foundational model providers to optimize AI models for Amazon Silicon, enhancing performance and efficiency.
As an SDE on our team, you will drive the development of custom large language models (LLMs) across languages, domains, and modalities. You will be responsible for fine‑tuning state‑of‑the‑art LLMs for diverse use cases while optimizing models for high‑performance deployment on AWS’s custom AI accelerators. This role offers an opportunity to innovate at the forefront of AI, tackling end‑to‑end LLM training pipelines at massive scale and delivering next‑generation AI solutions for top AWS clients.
Key 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.
Basic Qualifications
Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field.
2+ years of professional software development experience.
2+ years of non‑internship design or architecture experience (design patterns, reliability, and scaling) of new and existing systems.
Hands‑on experience with deep learning and machine learning methods (e.g., for training, fine‑tuning, and inference).
Hands‑on experience with generative AI technology.
Preferred Qualifications
Experience with training and deploying machine learning systems to solve large‑scale optimizations or experience in software development.
2+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations.
Hands‑on experience with at least one ML library or framework.
EEO Statement Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Additional Information Los Angeles County applicants: Job duties for this position include working safely and cooperatively with other employees, supervisors, and staff; adhering to standards of excellence despite stressful conditions; communicating effectively and respectfully with employees; and following all federal, state, and local laws and company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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 other benefits.
Job ID A3137784
Referrals Referrals increase your chances of interviewing at Amazon Web Services (AWS) by 2x.
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Machine Learning Engineer
role at
Amazon Web Services (AWS) .
The Generative AI Innovation Center at AWS empowers customers to harness state‑of‑the‑art AI technologies for transformative business opportunities. Our multidisciplinary team of strategists, scientists, engineers, and architects collaborates with customers across industries to fine‑tune and deploy customized generative AI applications at scale. We also work closely with foundational model providers to optimize AI models for Amazon Silicon, enhancing performance and efficiency.
As an SDE on our team, you will drive the development of custom large language models (LLMs) across languages, domains, and modalities. You will be responsible for fine‑tuning state‑of‑the‑art LLMs for diverse use cases while optimizing models for high‑performance deployment on AWS’s custom AI accelerators. This role offers an opportunity to innovate at the forefront of AI, tackling end‑to‑end LLM training pipelines at massive scale and delivering next‑generation AI solutions for top AWS clients.
Key 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.
Basic Qualifications
Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field.
2+ years of professional software development experience.
2+ years of non‑internship design or architecture experience (design patterns, reliability, and scaling) of new and existing systems.
Hands‑on experience with deep learning and machine learning methods (e.g., for training, fine‑tuning, and inference).
Hands‑on experience with generative AI technology.
Preferred Qualifications
Experience with training and deploying machine learning systems to solve large‑scale optimizations or experience in software development.
2+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations.
Hands‑on experience with at least one ML library or framework.
EEO Statement Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Additional Information Los Angeles County applicants: Job duties for this position include working safely and cooperatively with other employees, supervisors, and staff; adhering to standards of excellence despite stressful conditions; communicating effectively and respectfully with employees; and following all federal, state, and local laws and company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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 other benefits.
Job ID A3137784
Referrals Referrals increase your chances of interviewing at Amazon Web Services (AWS) by 2x.
#J-18808-Ljbffr