Who are we?
Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines. Relentless innovation has fueled our journey to consistent leadership recognition from analysts like Gartner and Forrester, and our sustained, aggressive growth has landed Smarsh in the annual Inc. 5000 list of fastest-growing American companies since 2008.
About the Team
The Machine Learning Engineering function is responsible for ensuring Smarsh can run state-of-the-art enterprise-grade machine learning at scale in a cost-effective manner. The Machine Learning Engineering Group develops and maintains the ML infrastructure, tooling, and analytic services to power intelligent applications. As the Machine Learning Engineer, you will play a pivotal role in driving the development and implementation of advanced analytics that delivers communications intelligence that drive actionable insights and solutions as part of our FinTech and RegTech Product portfolio. You will be part of a team of talented ML engineers collaborating closely with product managers, data scientists and other stake holders to deliver impactful solutions.