NeuroAI Research Engineer

About Dandelion Science

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

Position Overview

A NeuroAI Research Engineer at Dandelion designs, implements, and deploys machine learning systems that interact with complex brain signals. This is a hybrid research + engineering role: you will create and prototype new cutting-edge models, and contribute to a production-grade codebase. You will work across modalities (video, neuroimaging, behavior) and across the full lifecycle, from model research to training infrastructure to deployment.

This role is ideal for someone who loves pushing the frontiers of NeuroAI, deep learning, machine learning, and neuroscience.

Key Responsibilities

Model Design & Engineering

• Develop and optimize advanced ML models (any-to-any-/multi-/omni-modal models, generative models, video world models, foundation models) for neuroimaging data (EEG, MEG, fMRI).
• Build optimization protocols for model-derived sensory stimulation.
• Write clean, efficient, testable code in Python; design components that scale across GPUs and multi-node clusters.
• Debug complex system-level issues (timing, memory, threading, distributed training).

Collaboration & Translation

• Work closely with neuroscience, clinical, ML and software teams to turn prototypes into reliable components.
• Write technical documentation and communicate engineering constraints and research results clearly.

Qualifications

Required

• Ph.D. or Master’s in NeuroAI, AI/ML, Computer Science, Computational Neuroscience.
• Strong deep learning experience (e.g., generative models, LLMs, world models, computer vision, any-to-any models).
• Demonstrated ability to develop and ship production-quality software in collaborative codebases.
• Strong Python engineering skills (PyTorch and version control required).
• Experience with GPUs, and distributed training.
• Excellent communication and documentation abilities.

Preferred

• Experience optimizing models for speed, memory, and multi-GPU performance.
• Experience with real-time video processing or low-latency streaming systems.
• Familiarity with EEG/MEG/fMRI preprocessing or time-series signal processing.
• Solid grounding in software engineering practices:
• Git/GitHub workflows
• testing frameworks
• CI/CD
• type checking / linting
• reproducible environments (conda, Docker)
• cloud platforms (AWS/GCP/Azure)

Why Join Dandelion Science?

• Work on foundational NeuroAI technology with direct real-world impact.
• Collaborate with leading teams across AI, neuroscience, clinical research, and product development.
• Push the frontiers of digital twins for the human brain with cutting-edge compute and experimental infrastructure enabling you to accelerate model validation.
• Equity participation and meaningful ownership in a rapidly growing company.
• Join a highly interdisciplinary, ambitious team pushing the boundaries of NeuroAI.

Application Process

Please submit your CV, a cover letter, and any relevant publications or code samples to [email protected].

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