Engineer 3 - Machine Learning

Design and implement machine learning models to optimize ad targeting and bidding algorithms. Requires strong ML background and experience with large-scale data.

This Staff Machine Learning Engineer role focuses on designing, building, and shipping production-grade systems for ranking, personalisation, and reward structures in real time. The role involves owning ML infrastructure including pipelines, training loops, serving, and monitoring, as well as providing technical leadership. Experience with causal thinking, high-volume behavioural datasets, and full-stack ML capability is required.

This Senior Staff Machine Learning Systems Engineer role leads the technical strategy for Reddit's Ads ML Platform, focusing on the end-to-end ML engineer lifecycle including feature development, training data, and experimentation workflows. The engineer will define architecture standards, build platform abstractions, and mentor staff-level engineers. Requires 8+ years of infrastructure or distributed systems experience with 4+ years building production ML infrastructure or feature platforms.

This role designs and implements machine learning models and systems, optimizing algorithms for real-world applications. It requires strong software engineering skills and experience with ML frameworks.

This success manager role ensures Xumo's advertising clients achieve their goals with the platform, driving product adoption and retention. The challenge is proactively identifying and resolving client issues to maximize campaign performance and long-term loyalty.

This role manages demand activation strategies for clients, aligning client goals with effective demand generation tactics. It requires a deep understanding of the ad tech ecosystem to drive successful campaign outcomes.

Manages customer service strategy and operations, focusing on optimizing service processes and enhancing customer experience through CRM tools.