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Machine Learning Engineer

South San Francisco - SSF💼 Full-time💰 $199,000–$199,000🗓 2026-06-25 → 2026-07-31

Core

Develop and refine machine learning models to decode neural data for brain-computer interfaces, enabling paralyzed individuals to type and control robotic arms, and restoring vision to the blind.

Role type

Senior Machine Learning Engineer (Neural Decoding)

Builds

Real-time neural encoders and decoders for BCI hardware

Domain

Biomedical engineering / Neural interfaces

Deliverable

production ML models

Required skills

C/C++/Rust, Python, real-time ML product design, signal processing, algorithms, software engineering principles

Preferred skills

None stated

Technologies

C, C++, Rust, Python

Responsibilities

Develop and refine models that decode neural data for telepathy products; Formulate research questions to guide neural network development for blindsight products; Develop foundational ML models for BCI applications; Lead the team by setting high standards for system building and operation; Inform hardware roadmap by identifying impactful product features based on user feedback

Seniority

Senior, hands-on IC

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