Alljoined

Machine Learning Researcher

San Francisco. Posted 12 months ago

The role

You will design and implement advanced machine learning models for EEG-based neural decoding. You will work on developing deep learning models, exploring methods for modeling EEG data, and translating research into production-grade code.

What you will do

  • Develop, train, and refine state-of-the-art deep learning models for neural decoding.
  • Explore novel methods for modeling high-frequency, time-series EEG data alongside several adjacent data modalities.
  • Translate research insights into production-grade code that integrates with the in-house BCI stack.
  • Collaborate with neuroscientists and machine learning engineers to build scalable, end-to-end neural-decoding systems.
  • Publish findings at leading machine learning and AI conferences.
  • Contribute to open-source communities where appropriate.

Required qualifications

  • A bachelor's or master's degree in computer science or a related field such as artificial intelligence, computational neuroscience, mathematics, or biomedical engineering and five to seven years of ex
  • A PhD in computer science or a related field such as artificial intelligence, computational neuroscience, or biomedical engineering and at least three years of experience in machine learning research
  • A track record of high-quality research demonstrated through publications at leading machine learning conferences or in respected journals, including NeurIPS, ICML, ICLR, or CVPR
  • Strong proficiency in Python and PyTorch
  • Familiarity with modern machine learning tooling and distributed training
  • Experience contributing to a production-quality codebase with modern code-review standards

Nice to have

  • Ph.D.
  • Experience working in a high-profile machine learning research lab
  • Multimodal representation learning: CLIP-style contrastive objectives and masked autoencoding
  • Generative modeling: Diffusion models, transformer decoders, and latent GANs
  • Temporal sequence modeling: State-space models, STFT-aware transformers, and RWKV
  • Neural data analysis: Building models that predict behavioral or cognitive attributes from non-invasively recorded neural data

Benefits

  • Options for housing support
  • Visa sponsorship
  • Health insurance

About the company

Alljoined is creating a future where humans are fully understood and augmented by technology. The company applies deep learning research to large scale neural datasets to decode thoughts from the brain, entirely non-invasively.