Machine Learning Engineer

Neuralink - Austin, TX

Hiring: Machine Learning Engineer Company: Neuralink Location: Austin, TX Job Posted Time: 2026-09-03 11:35:34 Employment Type: Full-time Target Skills & Keywords : C, C++, Machine Learning, Python, Rust, User Experience About the job Required Skills: •Engineers on the BCI team utilize signal processing and machine learning to communicate with the brain. You will have access to the most cutting-edge neural interface hardware and develop state-of-the-art neural encoders and decoders. No prior knowledge of neuroscience is required; we value simple solutions grounded in first principles. •Neuralink designs all hardware in-house, from custom ASICs to thin-film arrays. There is no part of the technical design that cannot change. Learnings from your work will directly influence next-generation device architecture. •Telepathy Product: Develop and refine models that decode neural data, enabling individuals with paralysis to reliably type at 35 words per minute or control robotics arms for activities of daily living. •Blindsight Product: Formulate research questions to guide the development of neural networks and signal processing algorithms that will restore vision to those affected by blindness. •Utilize your fundamental understanding of neural networks and data science to develop models that serve as the foundation for machine learning applications for BCI. •Lead the team by performing at a high standard, setting the bar for how we build and operate our systems. •Inform our hardware roadmap by understanding users and identifying the product features that would have the greatest impact on their quality of life. Qualifications: •Demonstrated success in designing, building, and shipping real-time ML products •Strong foundation in signal processing, algorithms, and software engineering principles •Bachelor’s degree in relevant field or equivalent experience •Base Salary Range:: $199,000 USD - $331,000 USD Compensation: •Excellent medical, dental, and vision insurance through a PPO plan Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!