The position is based in Menlo Park, California.

What You Can Expect to Learn and How You Might Contribute

• Understand the challenges of implementing performant deep learning models.
• Accelerate neural network architectures through biologically inspired sparse algorithms.
• Improve your software engineering skills in a collaborative environment.
• Implement and optimize core learning algorithms.
• Evaluate and tune current systems for both speed and accuracy.

Desired Qualifications

• Currently enrolled in an MS or PhD program, or a recent graduate, in Computer Science or a related field.
• Outstanding programming skills in C/C++.
• Some experience with Python.
• Experience with deep learning and AI.
• Excellent knowledge of common data structures and CPU/GPU architectures.
• Experience in at least one of following fields a plus: numerical analysis, machine learning, real time games/graphics, image processing, real time computer vision, embedded systems, or data analytics with large datasets.
• Background in math and probability theory a plus.
• Experience with assembly, AVX or GPU programming a plus.
• Able to demonstrate strong intellectual capabilities and significant individual contributions.
• Excellent written and verbal communication skills.

Compensation:

This is a paid, temporary intern position. The salary ranges from $2,600 to $3,400, paid weekly. The exact salary will depend on the applicant’s academic experience. Since this is a temporary position, other benefits (medical, dental, stock options, housing or travel reimbursements, etc.) are not offered. 

How To Apply:

Qualified applicants should send the following:

• Cover letter describing their specific interest in Numenta.
• Resume, including a list of relevant course work and a link to your github repository or other public code repository that contains code you have worked on.

Please email your resume and cover letter to interns@numenta.com. Do not submit your cover letter and resume through the LinkedIn website.

Numenta is an equal opportunity employer supporting workforce diversity.