Amazon.com Services LLC
Technology
Sr.ResearchEngineer,MachineLearning,AGIFoundations
Neural analysis suggests this role is
optimal for Senior candidates.
“Sr. Research Engineer, Machine Learning, AGI Foundations at Amazon.com Services LLC. Skills: Machine Learning, Large Language Models, Generative AI, Distributed Systems. Lead development of LLMs. Develop novel algorithms”
What You'll Achieve.
Deliver high quality products; Deliver high quality services
Industry & Context.
Technical feasibility evaluation
What They're Looking For.
Must Have
5+ years software development, 5+ years programming, 5+ years system design, 2+ years machine learning
Nice to Have
5+ years full SDLC, Master's degree ML, Hands-on Foundational Models training, Low-level ML optimization, CUDA kernels experience, Network I/O experience
What You'll Do.
Lead development of LLMs
Develop novel algorithms
Develop modeling techniques
Advance state of the art
Accelerate development with LLMs
Scale pre-training workflows
Scale post-training workflows
Build efficient models
Drive system architecture
Spearhead best practices
Enable quality infrastructure
Train multimodal LLMs
Optimize training workflows
Optimize training stack
Investigate design approaches
Prototype new technology
Evaluate technical feasibility
Deliver results independently
Embrace scientific advances
Adapt scientific advances
How You'll Work.
Team & Collaboration
Work with team members; Agile environment
Communication Scope
Business communication; Technical communication
Process & Methodology
Agile
Full Job Description
The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior Research Engineer with a strong hands-on machine learning background, to lead the development of industry-leading multimodal large-language foundational models (LLMs). As a Senior RE with the AGI team, you will be responsible for leading the development of novel algorithms and modeling techniques to advance the state of the art. Your work will directly impact our customers and will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multimodal Large Language Models (LLMs) and Generative Artificial Intelligence (Gen AI). You will have significant influence on our overall strategy by working at the intersection of engineering and applied science to scale pre and post-training workflows and build efficient models. You will drive the system architecture, and spearhead the best practices that enable a quality infrastructure. The ideal candidate is clearly passionate about new opportunities and has a demonstrable track record of success in delivering new features and products. A commitment to team work, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creating reliable, scalable, and high performance products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience building large-scale distributed systems. This person has thrived and succeeded in delivering high quality technology products/services in a hyper-growth environment where priorities shift fast. Key job responsibilities - Responsible for pre and post-training multimodal LLMs. - Scale training of models on hyper large GPU and AWS Trainium clusters - Optimize training workflows using distributed training/parallelism techniques - Optimize low-level details of the training stack, including CUDA kernels, communication col
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