Machine Learning Engineer Intern
Neuralink · Not provided by source
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Job details
- Work model
- Not provided by source
- Salary
- Not listed by source
- Location
- South San Francisco, California, United States
What the role asks for
What they're asking for
- Evidence in delivering high-impact projects either in academia or industrySkill
- Prior experience designing and building Machine Learning modelsSkill
- Deep understanding of machine learning concepts and fundamentalsSkill
- Experience in analyzing complex datasets, driving insights, and communicating results in a simple and clear way to both technical and non-technical stakeholdersSkill
- Excellent communication and collaboration skillsSkill
- Strong coding skills, with a focus on clean, efficient, and scalable code developmentSkill
- Experience working with time series or unstructured dataSkillPreferred
Parsed by MeritLog from the employer’s own posting. The full description follows below.
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