Machine Learning Intern

The intern will be involved in signal processing, neural network design and performance evaluation using time series data from a novel sensing modality. 

Basic qualifications include:

• Must be enrolled in Bachelor’s Degree program at the Junior/Senior level in Physics, Applied Math or Engineering academic tracks. 

• machine learning coursework

• strong Py-Torch programming

• experience in designing

• training and evaluating neural networks past or ongoing

• US citizenship is required

• U.S. Citizen with the ability to obtain a DoD security clearance.

• Signal processing or nonlinear time series analysis experience preferred

• Internship runs from mid-May through the end of August.

Preferred Qualifications:

• Direct machine learning experience involving neural network design, training, and evaluation.

Original Posting:

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.