Manufacturing Engineer Intern
Lockheed Martin •
Position Type: Internship
Job Description:
Description:Lockheed Martin Rotary & Mission Systems is seeking a full-time AI/ML intern with a strong foundation in machine learning, data science and current programming languages.
In this role, you will work alongside Robotics Applications Engineers and Manufacturing Engineers to apply AI/ML techniques in practical manufacturing settings which will contribute to innovative approaches to manufacturing solutions. You will assist in developing an Intelligent Machines Playbook to be utilized to advance the Future Factory Principles at Sikorsky.
You will combine statistical process control and artificial intelligence to improve the overall throughput and cost of our products as well as advance the current toolsets withing the organization.
The candidate will be exposed to continuous improvement techniques, CAD modeling, data analytics, simulation, and statistical process control while supporting multiple Product Centers.
Basic Qualifications:
• Pursuing a Bachelor’s degree in Computer Science or equivalent degree
• Relevant Courses: Data Structures, Data Governance, Statistics, Machine Learning, Deep Learning
Desired Skills:
• Programming – Python, Java, C++ , SQL
• Machine Learning – Pytorch, TensorFlow
• Statistics and probability
• Experience with Git and pxyz and SQL a plus
• Strong problem solving skills
• Able to work in a team environment
• Good oral communication skills
• Good organizational skills
• Self-starter
• Familiarity with manufacturing processes is a plus
• Familiarity with CAD and 3D modeling software is 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: Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility.
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.
The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.
At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the worlds 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: Mechanical Engineering
Type: Part-Time
Shift: First
• Programming – Python, Java, C++ , SQL
• Machine Learning – Pytorch, TensorFlow
• Statistics and probability
• Experience with Git and pxyz and SQL a plus
• Strong problem solving skills
• Able to work in a team environment
• Good oral communication skills
• Good organizational skills
• Self-starter
• Familiarity with manufacturing processes is a plus
• Familiarity with CAD and 3D modeling software is a plus
Job Ident #:
70446441360
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