Challenging Today. Reinventing Tomorrow.

We're invested in you and your success. Everything we do is more than just a project. It's our challenge as human beings, too. That's why we bring a thoughtful and collaborative approach to every one of our partnerships.

At Jacobs, we challenge the status quo and redefine how to solve the world's greatest challenges, transforming big ideas into intelligent solutions for a more connected, sustainable world.

Design your career with a company that inspires and empowers you to deliver your best work so you can evolve, grow and succeed – today and into tomorrow

Your Impact:

Are you passionate about human space exploration, understanding the origins of the universe, and working with a passionate and diverse team to make a difference? If you are, we need you!

We need your talent, teamwork, and energy to help us achieve great things that inspire people all over the globe. We need you to bring creative ideas and diverse backgrounds to help us envision, shape, and deliver systems that will enable the exploration of space while benefiting people here on Earth. We are excited about what we do, and we need you on our team as we take on exciting challenges for NASA’s pursuits in deep space exploration. Jacobs is NASA’s largest engineering solutions provider working together with NASA at centers across the United States.

We have an exciting opportunity for a Machine Learning Intern to join our team with the Science & Exploration Division.

This is a temporary role not to exceed 10 weeks.

Responsibilities:

• The Machine Learning Intern will provide support to the Earth & Exploration Science (EES) team on machine learning projects. The EES team develops machine learning and deep learning neural networks on object based and imagery segmentation projects related to NASA's International Space Station and Artemis missions. EES expertise include Earth, planetary, computational, and image science. Internship is offered in person in Houston, TX at NASA Johnson Space
• Center. Machine learning can serve as a tool to automatically identify certain features through object detection and segmentation in imagery and video. The neural network procedure requires the development of training data that must be classified by hand to train neural networks, which can then be used to search the rest of the image set for areas of interest. Intern responsibilities would include Preparing training images for neural networks to enable detection and/or categorization of areas of interest; Identifying and labeling the areas of interest; and development of deep learning models using computer vision techniques.
• Perform other duties as assigned.

Project Objective and expected goals

• The intern will learn to work with imagery of spaceflight materials and geospatial information, produce a set of labeled training images, develop neural networks to identify features and objects in imagery, and contribute their developed model into the greater hierarchical model tree. The intern will provide a report as well as any source code generated to add a core capability in machine vision-based feature detection.

Here’s What You’ll Need:

Requisition Qualifications:

• Currently enrolled at an accredited university.
• Completed at least 45 credit hours.
• Minimum of 2.8 GPA.
• Good analytical skills, with the ability to work independently while functioning within a team environment
• Project or classroom experience with deep learning or computer vision projects
• Students should have an interest in imaging or planetary science as well as computational science, computer vision, or machine learning.
• Some knowledge of Differential Equations and Linear Algebra is desirable. Experience with python or another coding language is a plus.

Requisition Preferences:

• MS student pursing a degree in computer science, data science or a related field

Why Join Our Team?

#CMSInternship

Click on the below links to view just a small sample of all that we do! Come join our team and be part of our future. We look forward to seeing you!

See What We Do

Jacobs Aerospace Solutions Overview
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In addition to exciting career opportunities, we also have:

• Excellent personal and professional career growth
• 9/80 work schedule (every other Friday off)
• Onsite cafeteria (breakfast & lunch)
• Much, much more!

For more information on our partnership with NASA at Johnson Space Center (JSC), please visit www.wehavespaceforyou.com

• Proof of U.S. Citizenship or US Permanent Residency is a requirement for this position.
• Must be able to complete a U.S. government background investigation.
• Management has the prerogative to select at any level for which the position is advertised.

Essential Functions

Work Environment

Generally, an office environment, but can involve inside or outside work depending on task.

Physical Requirements

Work may involve sitting or standing for extended periods (90% of time). May require lifting and carrying up to 25 lbs. (5% of time).

Equipment and Machines

Standard office equipment (PC, telephone, printer, etc.).

Attendance

Regular attendance in accordance with established work schedule is critical. Ability to work outside normal schedule and adjust schedule to meet peak periods and surge requirements.

Other Essential Functions

Professional behavior that enhances productivity and promotes teamwork and cooperation. Grooming and dress must be appropriate for the position and must not impose a safety risk/hazard to the employee or others.

Jacobs is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, religion, creed, color, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, medical condition, marital or domestic partner status, sexual orientation, gender, gender identity, gender expression and transgender status, mental disability or physical disability, genetic information, military or veteran status, citizenship, low-income status or any other status or characteristic protected by applicable law. Learn more about your rights under Federal EEO laws and supplemental language.