Staff ML Engineer — Real-Time Brain-Computer Interface

Epia Neuro; Alameda (CA); On-site; USD 180,000 - 280,000; Full time

Benefits offered by this job

Competitive base salary with equity

100% healthcare coverage for you and你的

Generous vacation policy

Paid parental leave

Work from Alameda waterfront office

Job summary

Epia Neuro is pioneering neural decoding for implantable brain-computer interfaces and real-time clinical studies. We seek a senior contributor to own neural decoding, set ML strategy across decoder design, platform, and system architecture, while guiding ML engineering standards.

You will work hands-on with researchers and teams across Software, Firmware, Hardware, and Robotics to advance the real-time inference runtime and deployment capabilities in Alameda, CA.

Qualifications

• PhD in computational neuroscience, machine learning, or related field.
• 4–8+ years developing and deploying BCI algorithms in an industry or product setting.
• Production‑quality Python and strong software engineering fundamentals (testing, code review, maintainable design).
• Deep expertise in neural signal processing and real-time, closed‑loop decoding, calibration, and adaptation.
• Understanding of practical constraints and failure modes of real BCI clinical trials.

Responsibilities

• Own ML technical strategy for neural decoding, from validated approaches through real-time algorithms deployed in human clinical studies, spanning decoder design, the decoding platform, and system architecture.
• Develop and deploy real-time, closed-loop decoding of neural intent, including online calibration, decoder adaptation, and robustness over time.
• Own productization of decoding algorithms for a deployable real-time inference runtime meeting device latency and power budgets.
• Lead integration of decoding models into the broader medical device product across Software, Firmware, Hardware, and Robotics.
• Lead ML work in human clinical study deployment, accounting for signal non-stationarity, session variability, limited participant time, and regulatory constraints.

Skills

Neural decoding expertise

Python

Cross-functional leadership

ML strategy

Communication

Education

PhD in computational neuroscience or related field

Tools

C++

Embedded development

Real-time systems

Job description

Epia Neuro is pioneering neural decoding for implantable brain-computer interfaces and real-time clinical studies. We seek a senior contributor to own neural decoding, set ML strategy across decoder design, platform, and system architecture, while guiding ML engineering standards.

You will work hands-on with researchers and teams across Software, Firmware, Hardware, and Robotics to advance the real-time inference runtime and deployment capabilities in Alameda, CA.