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.
Trusted by 200+ companies, managing $150M+ in ad spend.
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
- Remote / On-site / hybrid work format in our Prague or Warsaw 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
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