Top Remote Jobs in Hungary

Build end-to-end machine learning systems spanning research reproduction, model evaluation, inference infrastructure, backend services, and product interfaces. Design rigorous experiments, evaluation datasets, and verification workflows; analyze model internals; investigate provenance and evasion; and convert findings into reliable production systems with APIs, background jobs, observability, testing, documentation, and user-facing React/TypeScript experiences.

Build and scale Base360.ai’s short-term rental platform across frontend, backend, integrations, automation, dashboards, and AI-powered workflows. Work directly with customers, founders, and designers to identify problems, ship end-to-end solutions, and improve product outcomes. Develop reliable APIs, event-driven automations, cloud infrastructure, and integrations with Airbnb, Stripe, Twilio, OpenAI, and other platforms. Own features from discovery through deployment while balancing usability, security, scalability, and maintainability.

Interns support PPG’s digital transformation and research projects across artificial intelligence, software development, physical rendering, analytical science, and materials science. Responsibilities may include data analysis, model development, web application development, 2D/3D rendering, chemical experiments, instrument operation, laboratory reporting, data integration, and technical research. Interns receive expert mentorship and are expected to collaborate effectively, solve problems, follow safety and quality standards, and commit to at least six months when possible.

Build and maintain complete web applications and backend services from architecture through production. Develop responsive interfaces, APIs, background workers, data pipelines, and AI integrations. Manage cloud deployment, monitoring, CI/CD, load testing, and system optimization. The role requires end-to-end ownership, strong full-stack development skills, relational database expertise, event-driven architecture knowledge, and the ability to work independently while communicating technical tradeoffs.

As a BDR SMB, you will build pipeline and generate opportunities for sales in the DACH region through high-volume outbound execution and cold calling, working closely with the GTM team.

Staff Software Engineer responsible for architecting and developing scalable web applications and APIs using Elixir, React, and PostgreSQL. The role involves solving ambiguous technical and business problems, ensuring system reliability and performance, collaborating cross-functionally, presenting solutions to leadership, writing tested code, participating in code reviews, mentoring engineers, and removing technical roadblocks.

Morgan Stanley seeks self-motivated Financial Engineers and Quantitative Model Developers to solve complex financial problems using advanced tech and quantitative skills.

Provide technical support for customers running Qdrant in production, troubleshooting Kubernetes, cloud, networking, storage, messaging, and database issues. Lead incident investigations, develop diagnostics and internal support tools, document solutions, and collaborate with engineering and platform teams. The role requires strong Kubernetes and infrastructure expertise, scripting ability, cloud experience, database knowledge, and clear communication in a remote, asynchronous environment.

Own Frontier Traders end to end, including Solana data ingestion, high-volume attribution pipelines, rewards and VIP systems, realtime leaderboards, partner integrations, and trader-facing product experiences. Lead architecture, delivery, testing, observability, incident response, and roadmap definition while working directly with traders, market makers, Foundation stakeholders, design, and product teams.

Build and maintain Python-based marketing data integration and ELT pipelines. Own third-party API integrations, including authentication, pagination, rate limits, and error handling. Develop tested production code, improve pipeline performance through concurrency and caching, and support scalable data modeling. Collaborate asynchronously with engineering, product, and support teams in a fully remote environment.