Sr. Research Engineer, Machine Learning, Artificial General Intelligence

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior Research Engineer (RE) 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 (GenAI).

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.

• 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 collectives, network I/O.
• Utilize, build and extend upon industry leading frameworks (NeMo, Megatron Core, PyTorch, Jax, vLLM, TRT, etc).
• Work with other team members to investigate design approaches, prototype new technology, scientific techniques and evaluate technical feasibility.
• Deliver results independently in a self organizing Agile environment while constantly embracing and adapting new scientific advances.

The AGI Foundations team is responsible for building industry leading Generative AI Foundational Models.

• 5+ years of non‑internship professional software development experience.
• 5+ years of programming with at least one software programming language experience.
• 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience.
• Experience as a mentor, tech lead or leading an engineering team.
• 2+ years of expertise in Machine Learning and/or Model Training.

• Master’s degree in machine learning or equivalent.
• 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience.
• Hands‑on experience and expertise in training Foundational Models/LLMs, and/or low‑level optimization of ML training workflows, CUDA kernels, network I/O.

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, including support for the interview or onboarding process, please visit (Use the "Apply for this Job" box below). for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/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.

Dependent 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/or other benefits. For more information, please visit  . This position will remain posted until filled. Applicants should apply via our internal or external career site.