High School Data Science Intern

The Data Analytics Innovations (DAI) team is seeking a self-motivated high school student intern with hands-on experience in software development or machine learning for a summer internship. The internship will focus on creating and training machine learning image recognition models leveraging both real and synthetic data. Synthetic data will be generated from CAD models and rendered in a simulation and data augmentation / training environment such as Omniverse.
The candidate will need a combination of business focus, creative thinking, strong analytical and problem solving skills, and programming knowledge to be able to quickly cycle hypotheses through the discovery phase of the project. Excellent communication, organization, and self-driven investigation skills to understand the needs of the project and work remotely in a small collaborative team environment.
Basic Qualifications:

• Demonstrated experience with software development by way of work, projects, courses, extra-curricular activities, etc.
• Preferred previous experience building, training, and/or deploying machine learning models.
• Preferred previous experience assembling training data for training image recognition models.
• Preferred previous experience in applying any of the following techniques to business problems: supervised regression/classification, natural language processing, deep learning, anomaly detection, reinforcement learning.
• Students with an interest in pursuing a BA in Computer Science, Engineering, Statistics, or Biology. STEM related fields.
• Preferred languages: Python
• Demonstrated experience working in a technical team environment by way of work or extra-curricular activities.

Desired Skills:

• Preferred experience with Computer Aided Design (CAD) software

• Experience with Omniverse a plus

Clearance Level: None
Other Important Information You Should Know
Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.
Ability to Work Remotely: Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process.
Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.
Schedule for this Position: 4x10 hour day, 3 days off per week
Lockheed Martin is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work.
With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.
If this sounds like a culture you connect with, you’re invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications.
Experience Level: Co-op/Summer Intern
Business Unit: RMS
Relocation Available: No
Career Area: Data Science
Type: Part-Time
Shift: First