
About Amazon
The everything store and cloud computing leader
Key Highlights
- Headquartered in South Lake Union, Seattle, WA
- Over 1.5 million employees worldwide
- Leading cloud services through Amazon Web Services (AWS)
- Acquired Whole Foods, Twitch, and Ring
Amazon, headquartered in South Lake Union, Seattle, WA, is the world's largest online retailer and a leader in cloud computing through Amazon Web Services (AWS). With over 1.5 million employees globally, Amazon operates in various sectors, including AI with its Alexa devices and a vast marketplace k...
🎁 Benefits
Amazon offers competitive salaries, stock options, generous PTO policies, and comprehensive health benefits. Employees also have access to a learning ...
🌟 Culture
Amazon's culture is driven by customer obsession and a focus on innovation. The company encourages employees to think big and move fast, fostering an ...
Skills & Technologies
Overview
Amazon is hiring a Machine Learning Engineer for their Generative AI Innovation Center to develop custom Large Language Models (LLMs) and optimize AI models for AWS's custom AI accelerators. You'll work with technologies like AWS, Python, and TensorFlow. This position requires experience in machine learning and model optimization.
Job Description
Who you are
You have a strong background in machine learning and experience with large-scale training pipelines — you've designed and implemented distributed training systems that ensure scalability and efficiency. Your expertise includes fine-tuning state-of-the-art Large Language Models (LLMs) for diverse applications, adapting them for new languages and domains through continued pre-training and reinforcement learning techniques.
You are proficient in optimizing AI models for deployment on specialized hardware — you understand how to leverage AWS Inferentia and Trainium, utilizing the AWS Neuron SDK to enhance performance. Your collaborative spirit shines as you work with a multidisciplinary team of strategists, scientists, and engineers to deliver innovative AI solutions.
What you'll do
In this role, you will drive the development of custom LLMs across various languages and domains, ensuring they meet the specific needs of AWS clients. You will be responsible for designing and implementing distributed training pipelines using tools like Fully Sharded Data Parallel (FSDP) and DeepSpeed, focusing on efficiency and scalability.
You will customize and fine-tune LLMs for new applications, employing techniques such as reinforcement learning with human feedback (RLHF) to enhance model performance. Your work will involve close collaboration with foundational model providers to optimize AI models specifically for Amazon Silicon, ensuring they deliver the best results for customers.
You will tackle end-to-end LLM training pipelines at massive scale, innovating at the forefront of AI technology. This role offers a unique opportunity to contribute to transformative business opportunities across various industries, making a significant impact on how customers harness AI technologies.
What we offer
At Amazon, you will be part of a dynamic team that values innovation and collaboration. We provide a supportive environment where you can grow your skills and advance your career in the rapidly evolving field of AI. You will have access to cutting-edge technologies and the opportunity to work on projects that shape the future of AI applications.
We encourage you to apply even if your experience doesn't match every requirement — your passion for AI and willingness to learn are what matter most. Join us in our mission to empower customers through state-of-the-art AI technologies.
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