Senior Machine Learning Engineer

Groupon is a marketplace where customers discover new experiences and services everyday and local businesses thrive. To date we have worked with over a million merchant partners worldwide, connecting over 16 million customers with deals across various categories. In a world often dominated by e-commerce giants, we stand out as one of the few platforms uniquely committed to helping local businesses succeed on a performance basis. Groupon is on a radical journey to transform our business with relentless pursuit of results. Even with thousands of employees spread across multiple continents, we still maintain a culture that inspires innovation, rewards risk‑taking and celebrates success. The impact here can be immediate due to our scale and the speed of our transformation. We're a \"best of both worlds\" kind of company. We're big enough to have the resources and scale, but small enough that a single person has a surprising amount of autonomy and can make a meaningful impact. Own the Future of AI-Powered Personalization at Groupon At Groupon, we’re rewriting what it means to be an AI-First company. Just months removed from a major transformation, we’re scaling up with intensity and putting AI at the heart of our business solutions. Join our nimble, high-impact team as the technical owner for next-generation recommendation and search models—help shape a local experiences marketplace used by millions. What You’ll Do: Lead the full ML model lifecycle—feature engineering, model design, training, deployment, monitoring, and ongoing improvement Architect and implement scalable ranking, retrieval, and personalization models using state-of-the-art ML frameworks (PyTorch, TensorFlow) Build robust, production-ready ML data pipelines and infrastructure (Python, GCP, Docker/Kubernetes) Integrate ML models into high-traffic distributed systems; ensure observability, CI/CD, and real-time performance Collaborate closely with Product and Data Engineering to deeply understand business needs and translate them into measurable user impact Set technical standards and mentor less-experienced colleagues as an emerging ML leader in our scale-up environment Experiment with advanced techniques (embeddings, deep learning, reinforcement learning) and champion an evidence-driven, AI-first culture About You: 5–8+ years hands‑on experience building and deploying ML models in production, ideally for recommender, ranking, or personalization systems Expertise in Python (and optionally Java/Scala), ML frameworks (PyTorch, TensorFlow, XGBoost), feature engineering, and data transformation Solid background in cloud (GCP strongly preferred), container orchestration (Docker, Kubernetes), and modern data/feature pipelines Skilled at structuring ambiguous problems and navigating fast‑changing priorities—ready to build with minimal legacy constraints Comfortable communicating complex technical concepts in clear, remote team environments (professional English) Bonus: search engine integration (Elasticsearch/Solr), real‑time recsys at scale, experimentation platforms, deep learning for recommendations Why Groupon, Why Now? Greenfield Impact: Architect the backbone of Groupon’s revitalized search and recommendations from the ground up—with your work seen by millions. AI-First Scale‑Up Vibe: Join a driven, supportive team amid exciting transformation—where speed, ambition, and technical influence matter. Career Launchpad: Be the ML architect/leader you’ve always wanted to be, with clear pathways to technical or team leadership as we grow. Global Collaboration: Work cross‑functionally with international colleagues and senior leadership. EMEA time zone overlap preferred for maximum impact. Groupon encourages candidates to leverage AI tools throughout the hiring process and is eager to hear how you use technology to elevate your work.