Systems Research Engineer - Machine Learning Systems - Remote

Overview

As a Systems Research Engineer specialized in Machine Learning Systems, you will play a crucial role in researching and building the next generation AI platform at Together. Working closely with the modeling, algorithm, and engineering teams, you will design large-scale distributed training systems and a low-latency/high-throughput inference engine that serves a diverse, rapidly growing user base. Your research skills will be vital in staying up-to-date with the latest advancements in machine learning systems, ensuring that our AI infrastructure remains at the forefront of innovation.

In Short

• Optimize and fine-tune existing training and inference platform for better performance and scalability.
• Collaborate with cross-functional teams to integrate cutting edge research ideas into existing software systems.
• Develop your own ideas of optimizing the training and inference platforms.
• Stay up-to-date with the latest advancements in machine learning systems techniques.

Requirements

• Strong background in machine learning systems, such as distributed learning and efficient inference.
• Knowledge of ML/AI applications and models, especially foundation models.
• Knowledge of system performance profiling and optimization tools for ML systems.
• Excellent problem-solving and analytical skills.
• Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or equivalent practical experience.

Benefits

• Competitive compensation and startup equity.
• Health insurance and other benefits.
• Flexibility in terms of remote work.