Flinn’s AI team is seeking a motivated and talented STEM student (undergraduate or graduate level) to join our AI research team as an intern. In this role, you will collaborate with seasoned data scientists, software engineers, and researchers to develop and optimize AI models and related tools. You’ll have hands-on exposure to the full lifecycle of our AI projects and direct involvement in creating transformative solutions. This role offers a lot of remote work flexibility, while we appreciate regular in-person interactions at our offices in Vienna, Berlin, or Paris.
We are building a truly exceptional culture: While many companies claim to have a great culture, we invite you to discover what truly sets ours apart. Visit our career page, speak with our team, listen to our founders’ podcast, or experience our culture first-hand during the interview process.
Make a Meaningful Impact: Your work at Flinn contributes directly to solutions that improve people’s health and lives by making high-quality health products accessible for everyone.
Experienced, well-funded, highly professional: As well-funded startup veterans, we know how to sustain long-term business health and success, ensuring an environment for continuous personal growth.
Programming & Prototyping
Write efficient, well-documented Python code for data preprocessing, model training, and evaluation.
Create proof-of-concept demos and pilot programs to validate research ideas.
AI Model Development
Assist in the design and implementation of machine learning models.
Contribute to model debugging, hyperparameter tuning, and performance evaluations.
Research Support
Perform literature reviews and research on state-of-the-art AI techniques and frameworks.
Summarize findings to guide the direction of ongoing projects.
Data Collection & Processing
Source and prepare data from internal and external datasets.
Clean, transform, and label datasets for training AI and machine learning models.
Collaboration & Reporting
Work closely with cross-functional teams including data scientists, product managers, and software engineers.
Present project updates, results, and next-step recommendations in regular team meetings
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