29 May 2026

AI Research Intern

Bynder

Amsterdam

29 May 2026

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AI Research Intern

AI Research Intern needed for Bynder Labs in Amsterdam/Rotterdam. Requires 6-month full-time internship starting September 2026, enrollment in a Dutch/EU university, and strong Python/ML skills. You will drive AI research from literature review to evaluation.

AIHybridInternshipInternshipOpenSearchNatural Language Processing

AI Research Intern

Apply

AIHybridInternshipInternshipOpenSearch

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Hybrid: Joining the Amsterdam or Rotterdam office for the team's anchor day each week

Employment Type

Internship

Experience Level

Not Applicable

Contract Length

6 months

Core Qualifications

Technical (Must-have)

OpenSearchNatural Language ProcessingDeep LearningSoftware EngineeringLarge Language ModelsPythonGitMachine LearningAWSInformation Retrieval

Soft Skills

CommunicationTeamworkEnthusiasmInitiative

Preferred Qualifications

Technical (Nice-to-have)

LLM ObservabilityVector DatabasesRAGPrompt OptimizationMCP

Key Responsibilities

•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.
•Collaborate with engineers and product managers from other Bynder squads to ship work that lands.

AIResearchInternshipMachine LearningPythonAWSLLMDAMBynderNetherlands

Key Responsibilities

•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.

•Collaborate with engineers and product managers from other Bynder squads to ship work that lands.