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.

You need to be available for a 6 months long full-time internship from September 2026
You need to be enrolled in a school/university throughout the whole duration of the internship, and the internship needs to count toward your study credits (e.g. via a learning agreement or stage-overeenkomst).
You are based in** the Netherlands.****You are studying Artificial Intelligence, Computer Science, Data Science, Information Studies, Computational Linguistics, Econometrics with a quantitative ML track, or a closely related programme at a Dutch or EU university.
You have completed (or are completing) 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, the command line, and reading other people's code. Familiarity with at least one ML or LLM framework is expected or the ability to pick one up quickly.
Good interpersonal and communication skills.
Enthusiastic and passionate about their job and the work they are doing.
Team player to help the team accelerate.
Ability to collaborate with teammates from other disciplines to produce results.
Advanced in the English language.
Joining the Amsterdam or Rotterdam office for the team's anchor day each week.

An exciting position in an international agile organization and expansive entrepreneurial freedom.
Latest technologies, Apple gear and industry training.
A dedicated mentor from the senior Bynder Labs team, with weekly 1:1s and a clear development plan.
Free in-office lunch and drinks.
Travel expenses.
Great offices in the center of Amsterdam and Rotterdam.
Flexible working hours.
Competitive internship fee.

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