Sync Computing is an MIT based startup company on a mission to build the next leap in distributed computing in the cloud. Sync Computing’s foundational technology is capable of solving large-scale scheduling optimization problems instantly, unlocking unprecedented gains in the orchestration of large-scale computing applications. Businesses worldwide will be able to utilize cloud resources with optimal efficiency, saving billions of dollars and endless hours on the cloud. We are targeting applications in data analytics, machine learning, and high-performance computing.
Sync Computing is searching for a full-time junior data scientist. You will be part of a growing interdisciplinary team applying data science principles to predict compute performance on modern public cloud platforms.
– Develop statistical and/or machine learning models that can better predict performance of large-scale computing workloads on public cloud infrastructure.
– Own metric definition, testing, and evaluation of existing predictive models
– Extract critical insights and present to Engineering teams to improve production systems.