Job Opportunities API

At Bynder, we don’t just store creative assets; we enable brands to deliver exceptional content experiences that drive business impact. In an era of exploding content volume and complexity, the world’s most iconic brands, including Spotify, Campari, and Lacoste, trust Bynder as their single source of truth for creative content. Our industry-leading DAM platform serves as the strategic engine for brand governance and control. We are leading the shift from management to AI-powered content orchestration. By integrating human-led, customizable AI Agents directly into our enterprise-grade infrastructure, we enable brands to augment their workforce and intelligently automate high-effort workflows without sacrificing brand integrity. We turn creative content into intelligent assets that accelerate personalization and drive measurable business outcomes. Ready to grow your career by helping the world’s leading brands deliver exceptional content experiences? Join our global team of 600+ ‘Byndies’ and help 4,000+ organizations work smarter with their content. Explore this opportunity and apply now to join our team. ABOUT THE ROLE Bynder Labs is the applied AI research and prototyping team within Bynder. Our mission is to turn frontier AI research into production-grade capabilities that change how teams create, manage, and activate brand content on our Digital Asset Management (DAM) platform. We work across the full AI stack: foundational components like embeddings, semantic search, and knowledge graphs, and higher-level capabilities like agentic AI workflows, AI-assisted search, brand compliance agents, and integrations with external AI platforms via the Model Context Protocol (MCP). Our work runs on AWS at enterprise scale and reaches Bynder's customers some of the largest brands in the world. As an AI Research Intern at Bynder Labs you will be paired with a Machine Learning Engineer/Data Scientist as your daily mentor, embedded in real epics on our roadmap, and given the autonomy to take ownership of a meaningful slice of work. Depending on your interests and where the team needs leverage, your project may sit anywhere along our roadmap. Some examples are evaluating embedding models for AI Search, contributing to our Brand Compliance Agent, building evaluation harnesses for agentic systems, exploring prompt optimization algorithms, extending our LLM observability stack, or prototyping MCP-based integrations. WHAT YOU WILL DO - Take ownership of a focused research question on the Bynder Labs roadmap and drive it from literature review and prototyping through to evaluated experiments - Build prototypes and experiments using modern AI tooling, large language models on AWS Bedrock, embedding models, vector search on OpenSearch, agent orchestration frameworks, and the Model Context Protocol (MCP). - Design rigorous evaluations for non-deterministic AI systems, including offline benchmarks, LLM-as-a-judge pipelines, and online experiments on real data. - Stay up to date with recent research, summarise them for the team, and decide which ideas are worth implementing. - Contribute clean, well-tested Python code to shared Labs repositories and follow the engineering practices used by the rest of Bynder R&D. - Use our observability stack to understand how AI systems behave in production and propose improvements when they don't behave well. - Communicate clearly: write up findings in concise documents, present results at Labs reviews, and translate technical work into language non-technical stakeholders can act on. - Be proactive and propose improvements to your project, to our internal tooling, to the way we run experiments. Bynder Labs runs on initiative. - Collaborate with engineers and product managers from other Bynder squads to ship work that lands. WHAT YOU HAVE - You need to be available for a 6 months long full-time internship from July 2026 - You need to be enrolled in a Dutch univer