About the role:

As a Senior Machine Learning Engineer, you will help build our new Retail Media product from the ground up. You will design, develop, and operate production-grade machine learning systems that create relevant advertising experiences for customers and measurable value for brands and retailers.

You will work in a high-impact product team, working with Data & AI colleagues as well as collaborating closely with product, engineering, and business stakeholders. Your work will cover the full ML lifecycle - from problem framing and data understanding to model development, deployment, monitoring, and continuous improvement.

This role is suited for someone who combines strong machine learning expertise with solid software engineering practices and enjoys turning ambiguous product opportunities into reliable, scalable systems.

Job Description

About your tasks:

• 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 stakeholders.
• Contribute to ML engineering standards, best practices, and knowledge sharing within the team.

About the role:

As a Senior Machine Learning Engineer, you will help build our new Retail Media product from the ground up. You will design, develop, and operate production-grade machine learning systems that create relevant advertising experiences for customers and measurable value for brands and retailers.

You will work in a high-impact product team, working with Data & AI colleagues as well as collaborating closely with product, engineering, and business stakeholders. Your work will cover the full ML lifecycle - from problem framing and data understanding to model development, deployment, monitoring, and continuous improvement.

This role is suited for someone who combines strong machine learning expertise with solid software engineering practices and enjoys turning ambiguous product opportunities into reliable, scalable systems.

Job Description

About your tasks:

• 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 stakeholders.
• Contribute to ML engineering standards, best practices, and knowledge sharing within the team.