Level
Senior
Ort
Berlin
Arbeitsmodell
Hybrid, Onsite
Job Feld
Software, Data
Anstellung
Vollzeit
Vertragsart
Unbefristetes Dienstverhältnis

Job Zusammenfassung

In dieser Rolle entwickelst du ML-basierte Features, baust skalierbare Datenpipelines und implementierst Produktionssysteme, um das Nutzererlebnis durch präzise Personalisierung zu verbessern.

Job Technologien

Deine Rolle im Team

We are looking for a Senior Machine Learning Engineer to join our Recommendations Experience team, focusing on building ML-powered features that directly improve personalization, engagement, and satisfaction for our users.
You'll own features end-to-end: from understanding user needs with Product and Design, to architecting data pipelines processing billions of events, to building and shipping production ML systems that balance performance, cost, and user experience.
Develop, test, and productionize ML and LLM-based systems serving real users.
Design and build end-to-end ML pipelines, including data, features, training, and serving.
Make technical decisions considering cost, latency, complexity, and maintainability.
Navigate distributed systems (BigQuery, BigTable, Airflow, DynamoDB) to build reliable, scalable solutions.
Set up monitoring, A/B testing, and metrics frameworks to measure real user impact.
Debug complex issues across data pipelines, ML models, and distributed systems.
Contribute to technical strategy and team best practices.
Leverage agentic workflows and AI-assisted engineering as a force multiplier to work at 10x the speed of traditional methods.

Unsere Erwartungen an dich

Qualifikationen

Familiarity with integrating LLMs into ML systems (e.g. retrieval-augmented generation, model serving).
Understanding of shared ML architecture across domains (e.g. search and recommendations).
Strong SQL skills for massive datasets (BigQuery, Spark).
Familiarity with ML frameworks such as TensorFlow or PyTorch.

Erfahrung

1-2+ years building ML systems in production - you understand the difference between a model that works in Jupyter and one that serves millions of users.
4+ years of software engineering experience - you write production code, not just notebooks.
Strong Python and Scala (or Java/JVM) skills, with experience writing scalable, production code.
Experience building and deploying ML models end-to-end (data, training, serving, monitoring).
Experience building and deploying LLM-based features in production.
Strong focus on data quality and correctness, and how upstream data impacts downstream models and user experience.
Cloud platform experience (AWS/GCP) and containerization (Docker, Kubernetes).
Experience with distributed data processing and ETL pipelines (Airflow, Spark).

Unser Angebot

We provide a flexible work culture that offers the opportunity to collaborate and connect in person at our offices as well as accommodating work from home.
We are deeply committed to ensuring diversity, equity and inclusion at all levels of our organization and fostering a community where everyone's voice, perspective and experience is respected and heard.
We believe a strong team is made by investing in employees through mentorship, workshops and enrichment opportunities.