Work with colleagues from our Data & AI department and collaborate closely with product managers, engineers, and commercial stakeholders.
Design, build, and operate machine learning systems for retail media use cases such as sponsored product ranking, audience segmentation, campaign optimization, attribution, and performance measurement.
Translate business and product requirements into scalable ML solutions, balancing model quality, latency, reliability, scalability, and maintainability.
Develop robust ML pipelines for feature engineering, training, evaluation, deployment, monitoring, and continuous model improvement.
Bring models into production using our cloud-based stack and ensure they are reliable, observable, and maintainable over time.
Communicate technical decisions, assumptions, limitations, and uncertainty clearly to product, engineering, and business ...