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Senior AI Engineer – Deal Intelligence (Merchant Advisor Team)

Groupon
Remote - Romania, RomaniaRemotefull_timeVerifiedPosted 2 Jun 2025

About the role

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.

 

We’re looking for an AI Engineer to join our AI Team (Merchant Advisor) team 🤖, where we’re transforming how merchant deals are created, personalized, and optimized using machine learning, NLP, and intelligent automation. You’ll work on high-impact systems that influence revenue, marketplace health, and merchant satisfaction 📈.

You’ll Spend Time On:

  • Designing models that classify and score deals based on structured data, pitch text, and marketplace signals.

  • Engineering features from merchant behavior, geography, and rep performance to personalize deal suggestions 🎯.

  • Building adaptive systems (e.g., contextual bandits or RL) to balance exploration vs. exploitation in deal structures.

  • Discovering latent failure patterns using unsupervised or weakly supervised learning across millions of deals 🕵️.

  • Collaborating with product managers, analysts, and market managers to align ML decisions with business goals 🤝.

  • Creating modular, explainable systems that evolve with feedback from humans-in-the-loop.

We’re Excited About You If You Have:

  • 4+ years experience in ML/AI roles, preferably in a product-driven environment.

  • Strong grounding in Python, SQL, and libraries like scikit-learn, XGBoost, PyTorch, or TensorFlow.

  • Experience with modern NLP techniques: transformers, embeddings, summarization, or clustering 🧠.

  • Practical understanding of reinforcement learning, contextual bandits, or online experimentation frameworks.

  • Experience with data exploration, rapid prototyping, and delivering models into production 🚀.

  • bias toward clarity, iteration, and outcome-focused thinking.

Nice to Have (Bonus Points! ✨):

  • Experience with human-in-the-loop ML systems or feedback loops.

  • Exposure to marketplace, e-commerce, or merchant-facing domains.

  • Familiarity with Google Cloud (BigQuery, Vertex AI, Cloud Functions) or similar ML deployment infrastructure.

  • Comfort with building lightweight APIs, orchestrating model inference pipelines, or integrating ML outputs into production systems.

Why You’ll Love Working Here ❤️

  • High-ownership role building end-to-end ML features directly impacting top-line metrics 💰.

  • Fast iteration culture with strong product + tech alignment.

  • Transparent org structure and supportive, international team.