Careers
Pioneering the Next Generation of Brain-Computer Interfaces
About Brainsmart™
Brainsmart™ is a world-class pioneer in brain–computer interface (BCI) neurotherapeutics, developing minimally invasive neural interface devices that enable high-density, large-area brain signal decoding without craniotomy. Originating from the Advanced Biomedical Instrumentation Centre (ABIC) – a joint initiative between HKU and Harvard University under the InnoHK Program – we combine world-class expertise in flexible electronics, semiconductor device engineering, and clinical neuroscience.
Our flagship technology, the Minimally Invasive μ-ECoG™ System, delivers epidural, flexible, MRI-compatible neural interfaces for applications in epilepsy surgery, stroke rehabilitation, speech decoding, and tumor treating fields (TTF). With successful large-animal validations and an ongoing FDA Q-Sub process, Brainsmart is now expanding to the U.S. (Silicon Valley) to build a world-leading team for engineering, clinical translation, and regulatory approval.
BCI Machine Learning Engineer
Silicon Valley, California, USA
We’re developing reliable, robust brain-computer interfaces based on EcoG. To bring these systems to life, we need a machine learning engineer to decode speech and movement from neural signals—in real time. You will focus on turning cutting-edge research into working systems, building models and software that operate reliably on high-dimensional brain data.
Headquarters: Hong Kong | Manufacturing: Shenzhen | R&D & AI: Hong Kong & US | Clinical: China & US
Type: Full-time | On-site / Hybrid
Responsibilities:
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Develop machine learning models for speech and movement decoding from brain signals
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Build real-time systems for BCI applications, optimizing pipelines for low latency and real-time performance
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Work with noisy, high-dimensional time-series neural data
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Translate research ideas into fast, reliable production code
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Stay current with the latest advances in BCI and neural decoding
Qualifications:
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Master’s degree or higher in Computer Science, Electrical Engineering, or a related field
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Strong experience with Python and at least one of C, C++, or Rust
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Solid background in machine learning frameworks like PyTorch or TensorFlow
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Experience working with time-series data (ideally neural or biosignals)
What sets you apart?
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Experience in BCI speech or motor decoding
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Familiarity with signal processing for neural data (ECoG, EEG, spike trains)
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Experience building real-time or low-latency systems
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Proven ability to turn research concepts into working systems
Why Join Brainsmart?
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Work with a globally integrated neurotechnology team spanning Hong Kong, Shenzhen, and Silicon Valley.
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Be part of an InnoHK-backed program driving the future of neurological therapies.
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Collaborate with world-renowned neurosurgeons and scientists from HKU, Harvard, and top U.S. medical centers.
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Competitive compensation, equity participation, and leadership opportunities in a fast-scaling international startup.
How to Apply
Please send your CV, cover letter, and (if applicable) portfolio/publication list to: