Yobi

Machine Learning Engineer

• 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.

Machine Learning Engineer – Core Signals

• Applications teams bring value in User-Behavioral foundation models to market.
• Creating scalable, highly profitable products with ML at their heart.
• Focused on models, metrics, pipelines, systems, and services that power Yobi Applications products.
• Significant 'wearing your Product hat' is expected and driving results in many domains required to deliver whole ML-powered products.

Machine Learning Engineer – Applied, Product

Full-stack Engineer

• 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

Machine Learning Engineer – Applied, Product

Software Engineer – Yobi Ad Platform