Machine Learning Researcher
Core
Designing and implementing advanced machine learning models for EEG-based neural decoding to decode images, text, and video from brain signals.
Role type
Senior IC machine learning researcher (neural decoding)
Builds
Core infrastructure and production-grade code for brain decoding systems
Domain
Biomedical engineering + deep learning
Deliverable
production ML models
Required skills
Multimodal representation learning, Generative modeling, Temporal sequence modeling, Python, PyTorch, Distributed training
Preferred skills
Experience in high profile ML research labs, Publications in top ML conferences
Technologies
Transformers, Diffusion models, State-space models, STFT-aware transformers, RWKV
Responsibilities
Develop, train, and refine deep learning models for neural decoding; Explore novel approaches for modeling high-frequency timeseries EEG datasets; Translate research insights into production-grade code; Collaborate with neuroscientists and ML engineers; Publish findings at top-tier ML and AI conferences
Seniority
Senior, hands-on IC