Computer Vision Data Scientist

About the Role

Secret Sauce Partners uses data and AI to power merchandising technologies for retailers and marketplaces. As a Computer Vision Data Scientist at SSP, you will design and develop state-of-the-art Generative AI solutions for fashion applications, including style-based recommendations, virtual try-on, and outfit recommendations. Your work will impact our 100+ million users, and remote work within the EU is supported (team largely in Budapest, Hungary). What You'll Do

• Design and implement computer vision and generative AI models for retail applications.

• Build and ship features such as style-based recommendations, virtual try-on, and outfit recommendations.

• Translate research into production-ready models and collaborate with Data Scientists, Engineers, and Product teams.

• Present results to technical and non-technical audiences; communicate clearly in English.

• Monitor production model performance with dashboards and data visualizations; write tooling to support ML investigations and deployments. What We're Looking For

• Master’s or Ph.D. in Computer Science, Computer Engineering, Computer Vision, or related field.

• Experience with state-of-the-art Generative AI technologies.

• Experience designing and implementing AI solutions using Python.

• Proficiency with ML and CV toolkits (e.g., PyTorch, OpenCV).

• Experience using cloud computing services.

• Experience transferring research into shipping products.

• Strong communication skills; ability to present results to technical and non-technical audiences.

• Ability to understand business problems and propose multiple solutions; collaborate with cross-functional teams; estimate and plan ML projects. Nice to Have

• Experience with A/B testing as a form of model evaluation.

• Hands-on experience with PySpark and/or Databricks.

• Experience handling unstructured text and/or NLP methodologies.

• Experience building tooling, scripts, or systems to support ML investigations and deployments.

• Monitoring production model performance using dashboards or data visualization.

• Active on GitHub and contributions to open-source projects.