Machine Learning Engineer Intern
Content + Source + Freshness • 12 Dec 2025 • 95% confidence
Offer value
High potential due to innovations in brain-computer interfaces and competitive compensation.
- Work on pioneering brain-computer interface innovations.
- Collaborate with top professionals in diverse specialties.
- Competitive hourly rate for intern positions.
Pros
- Chance to work on cutting-edge machine learning technologies.
- Opportunity to collaborate with experts across multiple fields.
- Attractive compensation for an internship role.
Cons
- High pressure and demanding project expectations.
- Limited support for interns in terms of benefits.
- Potential for long hours without overtime.
Who it's for
Intern / Entry-level • On-site
Good fit
- Computer science students focusing on machine learning.
- Candidates eager to contribute to AI technologies.
- Individuals ready for dynamic, impactful work.
Not recommended for
- Professionals without machine learning knowledge.
- Those seeking relaxed work environments.
- Candidates preferring remote or part-time roles.
Motivation fit
Key skills
About the job
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 + 401(k) plan *Temporary Employees & Interns excluded
- Parental leave *Temporary Employees & Interns excluded
- Flexible time off *Temporary Employees & Interns excluded
