Machine Learning Engineer Intern
- Pay
- $35 per hour
- Location
- South San Francisco, CA · On-site
- Job type
- Internship
- Level
- Entry level
- Listed
- 30 days ago
Skills & highlights for this role
- machine learning model design
- time series data
- neural decoding
Also useful
- unstructured data
Stated benefits & perks
- Health
- Dental
- Vision
- 401k match
- Parental leave
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
Pay and benefits
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
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.
From Neuralink's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
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Common questions
What is the salary for the Machine Learning Engineer Intern role at Neuralink?
The Machine Learning Engineer Intern posting at Neuralink states compensation of $35 per hour. It is listed as a internship position. Final pay may depend on location, experience, and interview evaluation on Neuralink's official career site.
Where is the Machine Learning Engineer Intern job at Neuralink located?
This Machine Learning Engineer Intern position at Neuralink is located in South San Francisco, CA (On-site). Always check Neuralink's application page for specific state eligibility or relocation policies.
What qualifications are required for Machine Learning Engineer Intern at Neuralink?
For the Machine Learning Engineer Intern role, Neuralink highlights experience with machine learning model design, time series data, neural decoding. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Machine Learning Engineer Intern position at Neuralink?
This listing links directly to Neuralink's Greenhouse application page. You can apply directly on Neuralink's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.