Top Tech Jobs & Startup Jobs in Hungary

Data Scientist Intern supporting AI data quality and analytics for autonomous driving. Responsibilities include using agentic AI and data mining tools to improve training datasets, investigating annotation and pipeline issues, developing Python analyses, and collaborating with machine learning engineers to improve training workflows and efficiency.

Provides on-site IT support in the Budapest office, manages Mac and Windows endpoint lifecycles, and handles employee onboarding and offboarding. Administers access permissions across Entra ID, Atlassian, GitHub, cloud platforms, and SaaS tools. Maintains device and license inventories, coordinates suppliers, supports ISO 27001 controls, and manages MFA and endpoint protection. Creates user guides, runbooks, and IT communications while troubleshooting workplace technology and infrastructure.

Manages the accounts payable process, including invoice processing, issue resolution, supplier queries, escalations, reporting, and month- and year-end close support. Acts as a liaison between internal teams and external suppliers, ensures timely process execution, and supports accounts payable process improvements. The role requires a bachelor’s degree, English fluency, strong interpersonal skills, analytical thinking, attention to detail, and 1–2 years of accounts payable experience as an advantage.

Leads architecture and hands-on development of scalable, resilient marketplace systems. Owns code and infrastructure quality, observability, security, technical strategy, performance, and operational health. Plans team delivery, mentors engineers, evaluates design tradeoffs, and guides solutions for complex distributed-system challenges supporting seller acquisition, onboarding, listings, logistics, insights, and performance management.

Own the architecture and technical direction of a React Native mobile application for DeFi trading across iOS and Android. Lead feature development from design through release, establish engineering standards, improve performance and reliability, guide engineers, integrate APIs and real-time data, manage app-store releases, monitor production health, and troubleshoot complex issues. Collaborate with Product, Design, and Backend teams to deliver scalable, intuitive financial experiences.

Engineering internship focused on wireless IoT development. Responsibilities include developing embedded applications, writing Python tools for automated testing and measurements, testing wireless systems, supporting hardware and software integration, analyzing results, and debugging with wireless test equipment. Candidates should study a relevant technical field, have C and Python programming experience, and be interested in embedded systems and wireless technologies. SDR, GNU Radio, RF fundamentals, wireless protocols, and electronics knowledge are preferred.

Lead Android development for Speechify’s core app by owning major features, shaping team direction, improving reliability, reviewing code, supporting teammates, handling critical issues, and coordinating releases and QA builds. The role requires strong Kotlin and Android expertise, product intuition, user empathy, testing knowledge, and the ability to collaborate across Product, Design, and Engineering.

Own growth strategy and execution across the funnel, including funnel and product-usage analysis, sales automation, growth campaigns, experimentation, onboarding optimization, and company-wide reporting. Build scalable systems in HubSpot and n8n, identify conversion opportunities, and collaborate with marketing, sales, product, and engineering teams to drive sign-ups, pipeline, revenue, and expansion.

Leads HR strategy and delivery for AbbVie across the Adriatic region and Hungary. Partners with business and senior leaders on talent management, succession planning, organizational effectiveness, leadership development, employee engagement, culture, change management, and workforce capabilities. Oversees HR programs, budgets, headcount, strategic initiatives, and relationships with HR centers of excellence. Builds and coaches an HR team while driving transformational projects and ensuring HR services support business objectives.

Conduct research across the full machine learning lifecycle, including ideation, model design, implementation, evaluation, training, inference optimization, and deployment. Develop novel machine learning methods and foundation models, establish evaluation protocols, scale training with GPUs or TPUs, and improve research engineering infrastructure for rapid experimentation.