Machine Learning Engineer Intern
South San Francisco, California, United States
- Pay
USD 35/hour — pay source
California Hourly Rate: $35/Hr USD What We Offer:
The anticipated hourly rate for this position is listed below.
Read the full posting- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll bring
All qualificationsCore experience
- 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
Preferred experience
- Experience working with time series or unstructured data
Qualification wording
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
Experience working with time series or unstructured data
Benefits in the posting
Full benefits wording- Full-time employees are eligible for the following benefits listed below.
- 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
From the employer’s posting.
About Neuralink
We are creating devices that enable a bi-directional interface with the brain.
In the employer’s words · Read in context
Job description
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.
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
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on boards.greenhouse.io. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
California Hourly Rate: $35/Hr USD What We Offer:
More source context
The anticipated hourly rate for this position is listed below.
- Location & working pattern
South San Francisco, California, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- May 12, 2026
- Recorded sightings
- 73
- Last seen by us
- Oct 8, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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