Machine Learning Engineer

SBC Performance is a digital marketing and advertising technology ecosystem partnering with leading global platforms like TikTok, Meta, and Google. We are seeking a Machine Learning Engineer to analyze large-scale marketing and product data, build machine learning models, and generate insights that improve business processes. You will contribute to projects related to marketing performance, creative analysis, video, and computer vision tasks.

• Analyze large-scale marketing and product datasets
• Build, test, and improve machine learning models
• Perform data preprocessing, feature engineering, and validation
• Develop data-driven hypotheses and support business decision-making
• Work on projects related to marketing performance and creative analysis
• Collaborate with analytics, product, and engineering teams

• 3+ years of experience in Machine Learning, Data Science, or similar roles
• Strong Python skills
• Experience with at least one framework: PyTorch, TensorFlow, or scikit-learn
• Solid understanding of machine learning fundamentals, statistics, and data analysis
• Experience working with real-world datasets
• Good SQL skills
• English level B1+ (ability to read technical documentation and research materials)
• Nice to have: Marketing or advertising data experience, video or image data experience, computer vision tasks, LLM or GenAI experience, Kaggle participation, MLOps understanding, cloud platform experience (AWS, GCP, Azure)

Work Format: On-site / hybrid in Prague office

• Competitive compensation
• Flexible working hours: operation day between 9:00 - 11:00 CET
• All necessary equipment provided
• Paid vacation and sick leave
• Company events and internal activities
• Open feedback and transparent, direct communication