Machine Learning Engineer

SBC Performance drives scalable growth for brands ready to expand globally.

Working across eCommerce, health & wellness, education, and entertainment, our team helps brands acquire customers faster and scale across 26+ global markets.

We combine data-driven paid media, performance creative, and advanced analytics to turn marketing into a predictable revenue engine.
Direct partnerships with Meta, TikTok, Google, Bing, and Snapchat give you priority access to premium ad infrastructure.

Scale faster. Grow smarter.

We are looking for a Machine Learning Engineer to join our team and help us work with large-scale marketing and product data.

In this role, you will focus on analyzing data, building machine learning models, and generating insights that improve business processes and decision-making. You will also contribute to projects related to marketing performance and creative analysis, including video and computer vision tasks.

Responsibilities

• 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 

Requirements

• 3+ years of experience in Machine Learning, Data Science, or similar roles
• Strong Python skills
• Experience with at least one of the following frameworks: 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

• Experience working with marketing or advertising data
• Experience with video or image data, including computer vision tasks
• Experience with LLM or GenAI-related tasks
• Participation in Kaggle or similar competitions
• Basic understanding of MLOps or model deployment
• Experience with cloud platforms such as AWS, GCP, or Azure

What We Offer

• On-site / hybrid work format in our Prague office
• Competitive compensation
• Flexible working hours: we start our operation day between 9:00 — 11:00 CET
• All necessary equipment
• Paid vacation and sick leave
• Company events and multiple internal activities
• Open feedback and transparent, direct communication

Kindly review our company policies and GDPR compliance by following the link below :

sbc-performance.com/...​-privacy-for-recruitment