Machine Learning Engineer Intern
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
As published by greenhouse
First Name, Last Name, Email, Phone, Resume/CV, Cover Letter
- We look for evidence of exceptional ability. Please provide us with 3-4 examples highlighting your exceptional ability, using quantitative metrics to display the impact on a product/project related to the requirements of the position you are applying for. Each bullet should be very concise— no longer than 3-4 sentences each and should capture the problem, solution, and result. We recommend starting with an action word (designed, led, built, promoted, launched, created, etc.) and be sure to include technical detail. This is your moment to WOW us! NOTE: Answering this question fully is the most important part of our interview process. First example: written answer
- Second example: written answer
- Third example: written answer
- Do you have prior internship or co-op experience? choose one
- What year will you graduate? choose one
- LinkedIn Profile
- Additional Link optional
- Are you currently authorized to work in the United States? choose any
- Will you, at any point, require employer sponsorship to work in the United States? choose one
- I understand that this position requires me to work on-site. choose any
- At this time we do not offer relocation assistance to interns. If hired, are you able to relocate on your own if you are not based locally? choose one
- What intern season are you interested in? choose one
- Ideal start date in office
- How did you hear about us? choose any
- Please specify optional