About the role#
As a Machine Learning Engineer Intern, you will work within the Brain Computer Interface (BCI) Applications Team. You will collaborate with neuroscientists, physicians, and engineers to develop the next generation of human-ready brain-computer interfaces. This position is full-time and based on-site in South San Francisco.
What you'll do#
- Develop novel neural decoders to increase the speed, accuracy, and reliability of BCIs.
- Create machine learning solutions and manage the execution of key projects.
- Partner with cross-functional teams to design new BCI functionalities and computer user interfaces.
What you'll need#
- Evidence of delivering high-impact projects in academia or industry.
- Experience designing and building machine learning models.
- A deep understanding of machine learning concepts.
- Proficiency in analyzing complex datasets and communicating findings to technical and non-technical stakeholders.
- Strong coding skills focused on clean, efficient, and scalable development.
- Experience working with time series or unstructured data.
- Excellent communication and collaboration skills.
Location & details#
- Location: South San Francisco, California, United States.
- Modality: On-site.
- Compensation: $35 per hour.
- Status: Paid, full-time internship with rolling start dates.
About Neuralink
Neuralink is a biotechnology research company that develops implantable brain-computer interfaces. Founded in 2016, the firm creates technology designed to facilitate interaction between neural signals and digital devices. It operates out of Austin, Texas, and South San Francisco, California. The company employs approximately 700 people.
How to get in at Neuralink
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