Full Job Description
In this role, you will work closely with research teams to design, build, and maintain systems for training and evaluating state-of-the-art agent models.
Our team works inside the Amazon AGI SF Lab, an environment designed to empower AI researchers and engineers to work with speed and focus. Our philosophy combines the agility of a startup with the resources of Amazon.
Key job responsibilities
* Develop training infrastructure to ensure large-scale reinforcement learning on LLMs runs highly efficient and robust.
* Work across the entire technology stack, including low level ML system, job orchestration and data management.
* Analyze, troubleshoot and profiling complex ML systems, identify and address performance bottlenecks.
* Work closely with researchers, conduct MLSys research to create new techniques, infrastructure, and tooling around emerging research capabilities.
BASIC QUALIFICATIONS
- PhD, or Master's degree and 3+ years of applied research experience
- Experience with programming languages such as Python, Java, C++
- Experience with neural deep learning methods and machine learning
- Experience with training and deploying machine learning systems to solve large-scale optimizations, or experience troubleshooting and debugging technical systems
PREFERRED QUALIFICATIONS
- PhD, or a Master's degree and experience with various machine learning techniques and parameters that affect their performance
- Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
- - Experience with distributed system, Megatron, vLLM, Ray, and working with GPUs.
- - Experience with patents or publications at top-tier peer-reviewed conferences or journals.
The base pay for this position ranges from $255,000/year in our lowest geographic market up to $345,000/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 https://www.aboutamazon.com/workplace/employee-benefits.