Machine Learning Engineer, Brain-Computer Interface at Neuralink (Austin or South San Francisco)
Job Description
Neuralink’s BCI team is hiring a machine learning engineer to build the models that decode raw neural signals into actions, such as moving a cursor, typing or controlling a robotic arm, and that encode camera images into neural patterns for its vision-restoring device. The ad says no prior neuroscience knowledge is needed and that it values simple solutions from first principles.
At a glance
- Team: BCI (brain-computer interface) software
- Location: Austin, Texas or South San Francisco, California
- Pay: Listed on the posting (from $199,000 a year)
- Apply: open until filled (re-checked 14 October 2026)
What you would do
- Develop and refine neural decoders for the Telepathy product, helping people with paralysis type or control robotic arms
- Formulate research questions and build neural networks and signal processing for the Blindsight vision-restoration product
- Work with the latest in-house neural interface hardware
- Gather user feedback and shape the BCI experience, with learnings feeding next-generation devices
Why this role matters
Brain-computer interfaces are moving from research labs to clinical use, and decoding algorithms decide how fast and reliably a person can type or move a robotic arm with their thoughts. Neuralink designs its hardware in-house, so ML engineers can influence the device itself, which is rare in medical technology.
What Neuralink is looking for
- Strong machine learning and signal processing skills
- Ability to solve problems from first principles
- Solid software engineering
Nice to have
- Experience with time-series or real-time decoding (neuroscience background not required)
Pay and location
Neuralink lists a pay range on the posting; the lowest figure shown is $199,000 a year, plus equity and benefits.
How to apply
Apply through the official Neuralink job posting. Neuralink’s posting does not give a closing date, so the role is open until filled; ResearchJobs.in will re-check this listing on 14 October 2026. Check the posting for location and work-authorisation details before you apply.
See all our artificial intelligence jobs, or browse more research jobs on ResearchJobs.in.
Hiring institution: Neuralink
Official advertisement: boards.greenhouse.io
How to prepare for this application
- Signals and ML: show real-time or time-series decoding work.
- No neuroscience needed: the ad says so; strong ML matters more.
- First principles: give an example of a simple solution to a hard problem.
- Two sites: Austin or South San Francisco.
About Neuralink
Neuralink builds implantable brain-computer interfaces, designing everything in-house from custom chips to thin-film electrode arrays and surgical robots. Its first products aim to let people with paralysis control computers and to restore sight. It has sites in Austin, Texas and Fremont and South San Francisco, California.
