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About the role
Learn neuroimaging and neuroscience context (we will support you in getting up to speed)
What they're looking for
- An BS or higher in Computer Science, Electrical Engineering, Applied Mathematics, or a related STEM field (exceptional self-taught researchers also considered)
- 3+ years of applied ML research or development experience, or equivalent depth through publications, projects, or startup work
- Strong Python programming skills with experience in PyTorch, TensorFlow, or JAX
- Built and iterated quickly on ML models and pipelines
- Experience with data preprocessing, labeling, and exploratory analysis
- Agility working with multimodal data (e.g., imaging + time series, text + audio)
More about this role
We’re a team of engineers, neuroscientists, and designers solving the most difficult and meaningful challenge: understanding the human brain. Our translational brain computer interface and pioneering models decode emotion, putting experience and wellbeing at the center of every interaction.
Our wearable BCI achieves fMRI-comparable resolution untethered to the lab. It’s this advancement that enables us to build foundation models of emotion.
We’re looking for people to help us build and scale. If you want to work on deep technology with real impact, and help define the future of brain-computer interfaces and AI, join us.
We’re backed by the founders and execs of the leading companies in AI, neurotech, consumer hardware and pharmaceuticals - including Google, Hugging Face, Apple, Stability, Microsoft and Dropbox. We’re venture funded.
We’re building a generational founding team which is truly full-stack - from neural sensors to complex models. If you want to work on deep technological problems and help pioneer the future of NeuroAI, this is the place for you. Projects have opportunities for a high degree of autonomy and demand intense, fast-paced learning.
Critically evaluate and...
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