
Yobi
Remote Jobs
Award Winning AI Leaders | Synthetic AI Agents | Central Communications Platform For Sales, Marketing & CS Teams
3 Jobs
Machine Learning Engineer – Applied, Product
YobiAward Winning AI Leaders | Synthetic AI Agents | Central Communications Platform For Sales, Marketing & CS Teams
• As an MLE on this team, you will primarily be focused on the models, metrics, pipelines, systems, and services that power and deliver excellence via Yobi Applications products. • This role involves a large degree of 0-to-1 development, and will rely on collaboration with Product, core signals MLEs, and leaning on your own expertise and insight in building holistic ML-powered products. • Significant "wearing your Product hat" is expected, along with driving results in the many domains required to deliver whole ML-powered products - we are a quickly growing startup after all!
Software Engineer – Yobi Ad Platform
YobiAward Winning AI Leaders | Synthetic AI Agents | Central Communications Platform For Sales, Marketing & CS Teams
• As a Senior Software Engineer on the Yobi Ad Platform, you’ll build and scale the core systems that power our real-time ML-based advertising stack. • This is a highly technical role focused on designing, implementing, and operating low-latency, high-throughput services that sit at the heart of Yobi’s Behavioral AI platform. • You’ll work on everything from real-time bidding and decisioning to cloud-native infrastructure and deployment tooling, collaborating closely with product and data teams to deliver performant, reliable, and observable systems that scale.
Machine Learning Engineer – Core Signals
YobiAward Winning AI Leaders | Synthetic AI Agents | Central Communications Platform For Sales, Marketing & CS Teams
• As an MLE on the Core Signals team, you will primarily be focused on (1) the representation learning surrounding our fundamental user-behavioral modeling problems and (2) using those core models to power new and existing products. • This role involves a lot of collaboration with the Product org and Applications team to realize these R&D gains - but is ultimately a "full stack" ML role. Day to day responsibilities include data processing, model training, deployment, and evaluation. • A good amount of "wearing your Product hat" is expected, as well as the ability to flex into some other functions as needed - we are a quickly growing startup after all.