Company Overview
Hoopers is changing the game – on and off the court. We’re a fast-growing global sports startup blending technology, data, and creativity to deliver next-generation basketball experiences for fans and players. With an expanding footprint across Europe and Latin America, we’re building the go-to platform for the future of the basketball ecosystem.
Position Overview
We’re hiring a Machine Learning Engineer to help us take our data products to the next level. You’ll work at the intersection of product, data and engineering — owning the infrastructure, pipelines, and systems that bring models to life. If you love building scalable ML systems, shipping fast, and working on real-world use cases with clear business impact, this is for you.
Key Responsibilities
- Design and implement machine learning models for classification, clustering, and recommendation.
- Build and maintain our core data graph — connecting entities such as users, content, and interactions.
- Work with embeddings, graph-based features, and relational modeling to drive predictions and insights.
- Work closely with product, engineering, and growth teams to turn data into intelligent features and tools.
- Ensure infrastructure is secure, cost-efficient, and optimized for speed.
Requirements
- Solid Python experience and familiarity with ML libraries (Scikit-learn, PyTorch or TensorFlow).
- Hands-on experience working with graph libraries or databases (e.g., NetworkX, Neo4j, PyG, DGL).
- Comfort with deploying models and building APIs (FastAPI, Docker, etc.).
- Experience with recommender systems, personalization, or content modeling.
- Ability to work in fast-paced, product-driven environments.
- Fluency in English.
Privacy Policy for Applications
Please note that all resumes (CVs) submitted for this position will be stored for up to 6 months and will be securely deleted thereafter, in compliance with data protection regulations (GDPR). If you wish to request the earlier deletion of your data, you may send a formal request to jobs@hoopers.club.
