About Dandelion Science

Dandelion Science is a Swiss-US NeuroAI company advancing precision therapies for vision and brain disorders. Backed by NIH, Innosuisse, and the Wyss Center, we build AI-driven neurotechnology that interfaces with human neural activity.

Position Overview

You will work hands-on across our ML codebase and infrastructure—improving the data pipelines, MLOps workflows, and developer tooling that our research and engineering teams rely on daily. You will also gain exposure to model-level engineering for neuroimaging and distributed training. This role is ideal for someone who enjoys making codebases cleaner, faster, and more robust, and wants to do so in a NeuroAI environment supporting brain–computer interface research.

What You’ll Work On

• Build and improve data pipelines and dataset tooling for neuroimaging workflows (EEG, MEG, fMRI).
• Contribute to MLOps infrastructure: experiment tracking, model versioning, artifact management, and reproducibility.
• Help maintain and improve configuration management and validation across ML repositories.
• Refactor and reorganize codebases for modularity, performance, and maintainability; extend visualization and benchmarking tooling.
• Assist with model engineering tasks and help integrate distributed training frameworks across repositories.

Qualifications

Required

• Pursuing or recently completed a Master’s or Ph.D. in Computer Science, Computational Neuroscience, Electrical Engineering, Applied Math, or related field.
• Prior industry software development experience (internships, co-ops, or professional roles).
• Solid Python skills with a focus on clean, well-structured code; experience with PyTorch or another deep learning framework.
• Familiarity with Git, testing, CI/CD, and reproducible environments.
• Strong communication, documentation skills, and motivation to contribute across multiple codebases.
• Available for a 6-month internship.

Preferred

• Experience with data validation, configuration management, or MLOps/experiment tracking platforms.
• Exposure to distributed computing frameworks or cloud platforms (AWS/GCP).
• Prior experience with neuroimaging data is not required.

Why Intern at Dandelion Science?

• Work on foundational NeuroAI technology with direct impact on real patients.
• Collaborate with leading teams across neuroscience, AI, clinical research, and product development.
• Push the frontiers of digital twins for the human brain with cutting-edge compute and experimental infrastructure.
• Join a highly interdisciplinary, ambitious team pushing the boundaries of generative neuromodulation.

Apply

Submit your CV and relevant code samples or project links to ben.lonnqvist@dandelion.science.

Dandelion Science is an equal-opportunity employer committed to diversity and inclusion.