Amazon.com Services LLC
Technology
ResearchEngineer,ArtificialGeneralIntelligence
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Research Engineer, Artificial General Intelligence at Amazon.com Services LLC. Skills: Artificial General Intelligence, Large Language Models, Machine Learning. Support development of novel algorithms. Support development of modeling techniques”
Industry & Context.
Investigate design approaches; Evaluate technical feasibility
What They're Looking For.
Must Have
Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field, Experience programming with at least one software programming language
Nice to Have
PhD or Master's degree in machine learning or equivalent, 2+ years of full software development life cycle experience, Hands-on experience training Foundational Models/LLMs, Low-level optimization of ML training workflows, CUDA kernels experience, Network I/O experience
What You'll Do.
Support development of novel algorithms
Support development of modeling techniques
Advance the state of the art
Accelerate development with multimodal LLMs
Accelerate development with Generative AI
Scale pre-training workflows
Scale post-training workflows
Build efficient models
Drive system architecture
Spearhead best practices
Enable quality infrastructure
Support pre-training multimodal LLMs
Support post-training multimodal LLMs
Scale training on GPU clusters
Scale training on AWS Trainium clusters
Optimize training workflows
Optimize low-level details
Investigate design approaches
Prototype new technology
Prototype scientific techniques
Evaluate technical feasibility
Deliver results independently
Embrace new scientific advances
Adapt new scientific advances
How You'll Work.
Team & Collaboration
Work with other team members; Agile environment
Process & Methodology
Agile
Full Job Description
The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Research Engineer with a strong hands-on machine learning background, to support the development of industry-leading multimodal large-language foundational models (LLMs). As a Research Engineer with the AGI team, you will be responsible for supporting 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 help 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 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 coll
Applying for this Research Engineer, Artificial General Intelligence role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
ANONYMOUS · UNFILTERED
What do employees actually say about Amazon.com Services LLC?
Real rants from real employees. Read before you apply.