Machine Learning Researcher

About this role

Alljoined is seeking a Machine Learning Researcher to develop advanced deep learning models for non-invasive brain-computer interfaces that decode neural signals from EEG data. You'll design state-of-the-art architectures, publish research at top conferences, and translate innovations into production systems alongside neuroscientists and engineers.

What you'll do

• Design and train cutting-edge deep learning models for EEG-based neural decoding using modern architectures
• Develop novel approaches for processing high-frequency time-series EEG and multimodal datasets
• Convert research prototypes into production-quality code integrated with the BCI platform
• Collaborate with neuroscientists and ML engineers on end-to-end neural decoding solutions
• Publish findings at top-tier ML conferences and contribute to open-source projects
• Work on multimodal representation learning, generative modeling, and temporal sequence modeling

What they're looking for

• Deep learning model development and training
• Multimodal representation learning (contrastive learning, masked autoencoding)
• Generative modeling (diffusion models, transformers, GANs)
• Temporal sequence modeling (state-space models, transformers)
• Python and PyTorch proficiency
• Distributed training and ML infrastructure
• High-quality research publication track record
• Production-grade coding and code review standards

Benefits

• Housing support options
• Visa sponsorship
• Health insurance
• 3% 401k matching
• Equity compensation
• Competitive salary range $140,000–$250,000/year