Senior Machine Learning Engineer - Remote

Overview

Groupon is a marketplace where customers discover new experiences and services every day 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.

In Short

• 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 (e.g., 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

Requirements

• 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

Benefits

• 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.