23 hours ago
Rome, ItalySenior
Responsibilities
- Design, build, deploy, and monitor production machine learning models and pipelines for audience segmentation and affinity products.
- Build and maintain high-volume feature engineering and data pipelines using Spark, Databricks, Python, and SQL across tables containing tens of billions of rows.
- Implement MLOps practices including model registries, experiment tracking, offline and online evaluation, and monitoring for data and model drift.
- Integrate audience ML systems with the Audience API, User Profile API, Kafka topics, and activation platforms including DV360, Braze, and TTD.
- Design offline evaluations and A/B tests, tune models and hyperparameters, and develop new data signals.
- Ensure modeling and data pipeline work complies with GDPR, CCPA, and consent-management requirements.
- Collaborate with Product Analytics, Marketing Science, Data Engineering, and Software Engineering teams to drive revenue outcomes.
- Participate in the team's on-call rotation and use AI-assisted development tools such as Cursor and Claude Code.
Requirements
- Bachelor's degree in Computer Science, Mathematics, Physics, Engineering, or a related quantitative field.
- Proven experience across the full production ML lifecycle, including feature engineering, model training, evaluation, deployment, and monitoring.
- Strong proficiency in Python, Spark, SQL, and Databricks for distributed data pipelines.
- Strong software engineering fundamentals and experience owning production backend and data systems end-to-end.
- Solid statistics, model selection, hyperparameter tuning, and experiment design skills, including A/B testing.
- Experience with ML lifecycle tools such as MLflow or equivalent, model registries, and production drift and quality monitoring.
- Hands-on experience using AI development tools such as Cursor or Claude Code.
- Fluent English communication skills and availability overlapping North American hours from 9 a.m. to 12 p.m. EST.
- Preferred experience in ad-tech or programmatic advertising, privacy engineering with GDPR or CCPA, Databricks platform administration, and LLM platforms such as OpenAI or Gemini.
Benefits
- Flexible hybrid work model with full remote availability from Europe and offices in Milan, Barcelona, and Sofia.
- €50,000–€70,000 fixed gross salary per year.
- Learning opportunities and regular feedback sessions.
- Modern central offices with snacks, coffee, and ergonomic work setups.
- Team events including offsites, happy hours, company parties, and celebrations.
- Necessary equipment provided for remote work and workspace setup.
- Additional country-specific benefits based on local contracts and practices.
- Inclusive, multinational work environment emphasizing autonomy, flexibility, and diversity.
Tech Stack
Categories
About ShopFully
ShopFully builds a “drive-to-store” digital advertising platform that connects online shoppers with local retailers’ offers through its apps, websites, and a large publisher network. Retailers and brands use its AI-based targeting and ad products to promote weekly deals and measure in-store impact, paying for media and campaign services. Founded in 2012 and headquartered in Milan, it operates across 25 countries and reports connecting around 200 million shoppers for hundreds of retail clients.