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Machine Learning Engineer Intern

Neuralink — Tracked from its greenhouse job board

South San Francisco, California, United States Intern Posted May 30, 2025
REST/APIsML

About the role

About Neuralink:

We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.

Team Description:

The Brain Computer Interface (BCI) Applications Team is responsible for delivering a product that gives people with paralysis the ability to control computers, phones, gaming consoles, and robotic arms with their minds at the same speed and functionality level as able-bodied people can. Furthermore, the team is focused on restoring speech for mute individuals and enabling direct, natural silent communication with AI agents. In this role, you’ll work with neuroscientists, physicians, software engineers, and electrical engineers to develop the next-generation human-ready Brain-Computer Interface (BCI).

Job Description and Responsibilities:

We are hiring a Machine Learning Engineer Intern to develop novel neural decoders to increase control speed and accuracy, improve reliability, and expand functionality of BCIs. You will play a critical role in developing machine learning solutions and driving the successful execution of projects to achieve mission critical goals. You’ll work with cross-functional teams to design new BCI functionalities and novel computer user interfaces.

Required Qualifications:

Evidence in delivering high-impact projects either in academia or industry

Prior experience designing and building Machine Learning models

Deep understanding of machine learning concepts and fundamentals

Experience in analyzing complex datasets, driving insights, and communicating results in a simple and clear way to both technical and non-technical stakeholders

Excellent communication and collaboration skills

Strong coding skills, with a focus on clean, efficient, and scalable code development

Preferred Qualifications:

Experience working with time series or unstructured data

Expected Compensation:

The anticipated hourly rate for this position is listed below.

California Hourly Rate:

$35/Hr USD

What We Offer:

Full-time employees are eligible for the following benefits listed below.

An opportunity to change the world and work with some of the smartest and most talented experts from different fields

Growth potential; we rapidly advance team members who have an outsized impact

Excellent medical, dental, and vision insurance through a PPO plan

Paid holidays

Commuter benefits

Meals provided

Equity (RSUs) *Temporary Employees & Interns excluded

401(k) plan *Interns initially excluded until they work 1,000 hours

Parental leave *Temporary Employees & Interns excluded

Flexible time off *Temporary Employees & Interns excluded

What the index says about this role

  • First seen by JobLarper — Aug 2, 2026, 6 days ago. Older postings collect hundreds of applicants — a tailored résumé matters more the longer a role has been live.
  • No pay range in our index for this listing. Across 193 indexed Machine Learning Engineer roles in US that do publish one, the middle half sits between $213k and $300k, median $250k — JobLarper's read of the market, not a figure from Neuralink.
  • What Machine Learning Engineer roles ask for — across 1,108 indexed openings: ML (78%), AI/LLM (55%), Python (53%), REST/APIs (38%), Cloud (25%). This posting names ML, REST/APIs.
  • Neuralink is hiring actively — 47 open roles indexed.

Derived from the 27,000 roles JobLarper indexes daily from official company boards — not from the job description above.

⚡ JobLarper watched this role appear on Neuralink's official board on May 30, 2025. Sign up free to get alerted minutes after roles like this go live, and tailor your real résumé to the exact description — nothing invented.

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