Senior ML Engineer (Retail Media)

Location: Berlin, Germany

Company

hirify.global is Europe’s No. 1 e-pharmacy, developing digital pharmacy and retail media products.

What you will do

• Design, build, and operate production-grade machine learning systems for sponsored product ranking, audience segmentation, campaign optimization, attribution, and performance measurement.
• Translate product and business requirements into scalable ML solutions while balancing model quality, latency, reliability, scalability, and maintainability.
• Develop pipelines for feature engineering, model training, evaluation, deployment, monitoring, and continuous improvement.
• Deploy models using a cloud-based stack and ensure that systems remain reliable, observable, and maintainable.
• Collaborate with Data & AI colleagues, product managers, engineers, and commercial stakeholders.
• Communicate technical decisions, assumptions, limitations, and uncertainty clearly, and contribute to ML engineering standards and knowledge sharing.

Requirements

• Several years of hands-on experience as a Machine Learning Engineer, ML-focused Software Engineer, or Data Scientist with strong engineering experience.
• Experience building and operating production-grade machine learning systems, pipelines, or model-based products.
• Experience with retail media, recommender systems, or ranking.
• Understanding of complex data and ML failure modes, including data leakage, feedback loops, distribution shifts, and misleading offline metrics.
• Ability to explain complex technical topics clearly to non-technical stakeholders and work effectively in an ambiguous product environment.

Culture & Benefits

• Collaborative, inclusive work environment focused on purpose and employee development.
• Urban Sports Club membership package.
• Anonymous, free professional mental health support through Likeminded.
• Individual work-from-home arrangements where the role permits, including up to 20 days per year anywhere in the EU.
• Fully funded Deutschland Ticket and support for internal and external training.