Staff Engineer - Recommendations

Triwill Group; Deutschland; Vor Ort; EUR 110.000 - 140.000; Vollzeit

Zusammenfassung

Triwill Group is seeking a Staff Engineer - Recommendations based in Germany to shape the data and ML foundations behind personalized discovery at scale. You will help connect users with relevant content, communities, groups, and events across data engineering, backend development and personalization.

The role offers broad technical scope in cloud infrastructure, data pipelines, APIs, distributed systems and ML-enabled applications, with opportunities to advance from heuristics to sophisticated

Qualifikationen

• Experience building data-driven recommender systems.
• Strong collaboration with data scientists, product managers and engineers.
• Experience designing and operating large-scale data pipelines and services.

Aufgaben

• Build data and ML foundations powering personalized discovery at scale.
• Evolve recommendation systems that connect users with content, communities, groups, and events.
• Design systems to process large volumes of platform-generated data across cloud infrastructure.
• Collaborate with data scientists, product managers and engineers to translate signals into experiences.
• Advance personalization from heuristics toward data-driven recommendations in a distributed engineering environment.

Kenntnisse

Data engineering

Machine learning

Distributed systems

Back-end development

Cloud platforms

Jobbeschreibung

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Engineer - Recommendations based in Germany.

This role focuses on building the data and machine learning foundations that power personalized discovery and social experiences at scale.
You will help evolve recommendation systems that connect users with relevant content, communities, groups, and events.
Working across data engineering, backend development, and personalization, you will design systems capable of processing large volumes of platform-generated data.
You will collaborate closely with data scientists, product managers, and engineers to turn behavioral signals into meaningful user experiences.
The role offers significant technical scope across cloud infrastructure, data pipelines, APIs, distributed systems, and ML-enabled applications.
You will also help advance personalization from simple heuristics toward increasingly sophisticated, data-driven recommendations.
This is an opportunity to make a direct impact on a highly interactive consumer platform within a distributed, collaborative engineering environment.