# Applied Scientist – AI/ML Research (Internship)
We're opening 3 internship positions for Applied Scientists to conduct real AI/ML research with direct product impact. You'll work on the intelligence layer of our AI SDR (Sales Development Representative) platform, focusing on how the AI reaches peak performance within a single customer's environment using minimal interaction data.
Our platform aims to become the EU's most capable AI SDR, helping founder-led B2B businesses sell better using AI. New customers shouldn't have to wait weeks before the AI understands their business – your job is to make it useful from day one and expert-level within days.
We're building toward full sales autonomy by end of 2026. Your work directly shapes whether we get there. This isn't a paper-writing exercise: your models ship to production.
These are founding research roles. Perform well, and there's a direct path to Head of Applied Research at Subduxion, leading the AI research function across all our products.
## Responsibilities
- Collaborate with our team to design, build, and deploy agentic AI models that solve real-world business problems, from data preprocessing to model training and integration.
- Research and develop methods for rapid AI adaptation within individual customer environments – learning fast from sparse data.
- Design smart strategies for which user signals to prioritize, how to learn from minimal feedback, and when the AI has "learned enough".
- Build prototypes, run experiments, and ship what works into production alongside our engineering team.
- Publish internal research reports and present findings to stakeholders.
- Stay current on relevant academic literature and translate promising techniques into practical implementations.
- Ensure all approaches meet GDPR requirements by design.
## Minimum Qualifications
- Pursuing or recently completed a Master's degree in AI, Machine Learning, Computer Science, Data Science, Applied Mathematics, Econometrics, or similar.
- Solid machine learning fundamentals – you can reason about models, not just run notebooks.
- Programming proficiency in Python with hands-on ML framework experience (PyTorch, TensorFlow, scikit-learn).
- Ability to read and implement research papers.
- Strong communication skills in English. Dutch is a plus.
- Entrepreneurial minded, which means you ship, iterate, take ownership, and deliver on time.
- No need for years of experience; if you've just graduated or have 0–2 years from internships or junior roles, that's perfect.
## Preferred Qualifications
- Experience with few-shot learning, active learning, or meta-learning.
- Familiarity with online learning or multi-armed bandit approaches.
- Exposure to large language models in applied settings.
- Experience with transfer learning or domain adaptation techniques.
- A track record of building things – e.g. hackathons, open-source, side projects with real implementation.
- Understanding of GDPR and ethical AI.
- Entrepreneurial spark: maybe you've started a personal project or have experience in a startup-like environment where you wore multiple hats.