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Realize your potential by joining the leading performance-driven advertising company! As a Software Developer Intern on the R&D team in our Budapest Office, you’ll play a vital role in building the infrastructure that powers global recommendations. You will develop and maintain high-scale systems, from internal monitoring tools to customer-facing dashboards. You’ll work directly with a modern tech stack to solve complex engineering challenges and ensure our products remain robust and scalable for millions of users. As a Front-end Developer Intern on the R&D team in our Budapest Office, you’ll play a vital role in crafting the interfaces that bridge our data with our users. You will build interactive, data-rich web applications and editors that make complex information intuitive. Your work will directly impact how internal teams and global clients interact with Taboola’s powerful discovery engine. As an Algorithm Engineer Intern on the R&D team in our Budapest Office, you’ll play a vital role in optimizing the “brain” behind our discovery platform. You will dive deep into customer data to fine-tune recommendation algorithms and improve system accuracy. Your mathematical insights will directly translate into better user experiences and more efficient content delivery across the web. As an Optimization Specialist Intern on the eCommerce team in our Budapest Office, you’ll play a vital role in maximizing the performance of global advertising campaigns. You will use data-driven insights to manage budgets and optimize creative assets in real-time. By running A/B tests and identifying efficiency gaps, you will ensure our advertisers achieve the highest possible return on their investment.
Job Responsibility:
Developing and optimizing high-performance recommendation systems
Building internal and external dashboards to visualize complex data
Creating systems that streamline and facilitate customer integration processes
Designing and implementing monitoring systems to ensure platform stability
Managing independent projects and collaborating on large-scale team initiatives
Fully testing, documenting, and maintaining production-level code
Developing web applications that display real-time statistics and analytics
Building interactive data editors and user interfaces for internal tools
Integrating third-party solutions, such as payment and authentication systems
Improving the visual design and usability of internal and external dashboards
Contributing to various front-end projects both independently and as part of a team
Ensuring code quality through thorough testing and comprehensive documentation
Analyzing large-scale customer data sets to identify patterns and insights
Fine-tuning and optimizing the core logic of our recommendation systems
Testing and validating new algorithms to improve predictive accuracy
Presenting data analysis results and preparing detailed technical reports
Collaborating with senior engineers to implement scalable data solutions
Contributing to the development of next-generation AI features
Monitoring DCO campaign performance and tracking key performance indicators
Managing advertiser budgets to ensure maximum spending efficiency
Optimizing campaigns across various sites, devices, and audience segments
Designing and analyzing advertiser-specific A/B tests to drive growth
Creating comprehensive performance reports for both clients and internal stakeholders
Identifying performance issues and recommending actionable improvements
Requirements:
Proficiency in Java or Python
Foundational knowledge of SQL
Technical level of English language proficiency
A proactive approach to learning and adopting new technologies
Current enrollment in or recent completion of a Computer Science degree (or equivalent)
Strong knowledge of JavaScript, HTML, and CSS
Communicative level of English
Practical experience or coursework in modern web development
A strong drive to learn new frameworks and UI principles
Strong mathematical foundations, specifically in matrix algebra and probability theory
Knowledge of data mining and machine learning principles
Advanced skills in SQL and Excel
A data-driven mindset focused on performance KPIs
Strong attention to detail and a results-oriented approach to problem-solving
Ability to work independently on complex data sets
Nice to have:
Interest in artificial intelligence and recommendation systems
Experience with big data tools like Spark, Kafka, or Hadoop
Experience with React, Vue3, or Angular
Interest in UI/UX design and AI-driven interfaces
Experience with scalable algorithms and neural networks
Proficiency with Jupyter Notebooks and recommendation system logic
Knowledge of Python for data automation
Interest in digital advertising and Dynamic Creative Optimization (DCO)
What we offer:
Well-being: Enjoy comprehensive benefits (health, etc.), a fully stocked kitchen, and location-specific perks (gym partnerships, parking)
Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired