Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,383 postings in the last year. Stated ranges, not salaries paid.
Machine Learning Engineer Intern
South San Francisco, California, United States
Open 6 months, first seen by us 182 days ago- 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 setting
- Not stated
- Employment
- Not stated
Before you apply
- New graduates
- For current students
Job title: Machine Learning Engineer Intern
What you’ll work on
Full postingDevelop novel neural decoders to increase BCI control speed and accuracy
Design new BCI functionalities and novel computer user interfaces
Build machine learning solutions and drive projects to mission-critical goals
From the employer’s posting
develop novel neural decoders to increase control speed and accuracy
You’ll work with cross-functional teams to design new BCI functionalities and novel computer user interfaces.
You will play a critical role in developing machine learning solutions and driving the successful execution of projects to achieve mission critical goals.
What you’ll bring
All qualificationsCore experience
- Prior experience designing and building machine learning models
- Deep understanding of machine learning concepts and fundamentals
- Evidence of delivering high-impact projects in academia or industry
- Experience analyzing complex datasets and communicating insights clearly
- Strong coding skills focused on clean, efficient, scalable code
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
Evidence in delivering high-impact projects either in academia or industry
Experience in analyzing complex datasets, driving insights, and communicating results in a simple and clear way to both technical and non-technical stakeholders
Strong coding skills, with a focus on clean, efficient, and scalable code development
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
Posting record
Report an errorOpen 6 monthsWe first saw this posting 182 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- May 12, 2026182 days ago
- Recorded sightings
- 101
- Last seen by us
- Nov 11, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 182
Up longer than most. Similar jobs usually come down between day 8 and day 75.
From 5,195 similar postings that came down. Coming down is not always a hire.
Neuralink is hiring
2 open jobs
- No new data jobs since May
See how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.
Your next step
Complete your application on boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 13% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
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.
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
Source details
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.