Research Intern

Key Skills

Python Programming, SQL, Cloud computing

Job Description

The Research Group at Numenta is looking for outstanding students or other research scientists for internship opportunities throughout the calendar year. We are looking for candidates with expertise in Computational Neuroscience, Deep Learning, or Machine Learning.

The commitment is for 3 to 4 months full time (longer appointments up to one year may be possible). Numenta’s research interns will get exposure to the Thousand Brains Theory, participate in leading edge machine intelligence research, and the ability to publish their work.

What You Can Expect to Learn and How You Might Contribute

• The challenges of designing and implementing detailed cortically inspired machine learning models that can be applied to real-world problems.
• Gain experience solving hard problems in domains such as continuous learning and sensorimotor inference.
• Improve your understanding of neuroscience concepts such as cortical columns, dendritic function, thalamocortical circuits, and sensorimotor processing.
• Accelerate neural network architectures through biologically inspired sparse algorithms.
• Improve your software engineering skills.
• Obtain a detailed understanding of the Thousand Brains Theory.

Desired Qualifications

• Currently enrolled in a MS or PhD program, or a recent graduate, or equivalent research experience.
• Strong research background in machine learning or machine intelligence.
• Strong research background in computational neuroscience a plus.
• Excellent algorithmic problem solving skills, and the ability to implement solutions in Python, C/C++, Java, etc.
• Established track record of publications in leading peer-reviewed conferences and journals.
• Working knowledge of Numenta’s papers and algorithms a plus.
• Excellent written and verbal communication skills, and the ability to work in a team-oriented environment.
• A belief that the best way to build intelligent machines is to understand the cortex.

Must be fully vaccinated against COVID-19 by date of hire.