# AI Research Intern at Bynder Labs
Bynder Labs is the applied AI research and prototyping team within Bynder. As an AI Research Intern, you will be paired with a Machine Learning Engineer/Data Scientist as your daily mentor and embedded in real epics on the roadmap.
## 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 the observability stack to understand how AI systems behave in production and propose improvements
- 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 internal tooling, and to the way experiments are run
- Collaborate with engineers and product managers from other Bynder squads to ship work that lands
## Requirements
- Available for a 6 months long full-time internship from July 2026
- Enrolled in a Dutch university throughout the duration of the internship with internship counting toward study credits
- Based in the Netherlands
- Studying Artificial Intelligence, Computer Science, Data Science, Information Studies, Computational Linguistics, Econometrics with quantitative ML track, or closely related programme at a Dutch university
- Completed coursework in machine learning fundamentals and deep learning, plus at least one of: Information Retrieval, Natural Language Processing, Multi-Agent Systems, Reinforcement Learning, Knowledge Representation, or Software Engineering for ML
- Strong Python skills, comfortable with Git, command line, and reading other people's code
- Familiarity with at least one ML or LLM framework or ability to pick one up quickly
- Good interpersonal and communication skills
- Enthusiastic and passionate about the work
- Team player
- Advanced English language skills
- Able to join Amsterdam or Rotterdam office for anchor day each week