# AI Research Intern at Bynder Labs
Bynder Labs is the applied AI research and prototyping team within Bynder. As an AI Research Intern, you'll be paired with a Machine Learning Engineer/Data Scientist as your day-to-day mentor and work on real epics from the roadmap.
## What you'll do
- Own a focused research question from the Bynder Labs roadmap and carry it through from literature review and prototyping to evaluated experiments
- Build prototypes and experiments with modern AI tools, large language models on AWS Bedrock, embedding models, vector search on OpenSearch, agent orchestration frameworks and 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, summarize it for the team and determine which ideas are worth implementing
- Contribute clean, well-tested Python code to shared Labs repositories and follow engineering practices used by the rest of Bynder R&D
- Use the observability stack to understand how AI systems behave in production and suggest improvements
- Communicate clearly: write findings in concise documents, present results and translate technical work into language non-technical stakeholders can understand
- Proactively suggest improvements to the project, internal tooling and how we run experiments
- Collaborate with engineers and product managers from other Bynder teams
## Requirements
- Available for a 6-month full-time internship starting July 2026
- Enrolled at a Dutch university throughout the internship duration and the internship must count towards study credits
- Based in the Netherlands
- Studying Artificial Intelligence, Computer Science, Data Science, Information Studies, Computational Linguistics, Econometrics with quantitative ML track or a related program at a Dutch university
- Completed (or nearly 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 others' 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
- Ability to collaborate with teammates from different disciplines
- Advanced English proficiency
- Participation at the Amsterdam or Rotterdam office for the team's anchor day each week