- Location
- Prague, CZ
- Workplace
- Hybrid, Onsite
- Type
- Full-time
- Department
- Engineering
- Experience
- 3+ years
- Source
- Breezy HR
Description
SBC Performance is a digital marketing and advertising technology ecosystem that partners with leading global advertising platforms to drive performance and efficiency. We help brands scale worldwide through high-converting creative marketing solutions and smart campaign optimization. We hold leading positions on TikTok, Meta, and Google.
Our team consists of over 200 specialists across the Czech Republic, Poland, and other countries. We build a dynamic culture driven by speed, analytics, and results.
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 :
