\\\\Description:\\\\ By bringing together people that use their passion for purposeful innovation, at Lockheed Martin we 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 development 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\\\. At Lockheed Martin, we place an emphasis on empowering our employees by fostering innovation, integrity, and exemplifying the epitome of corporate responsibility\\\. Your Mission is Ours\\\. At Lockheed Martin, we apply our passion for purposeful innovation to keep people safe and solve the world's most complex challenges\\\. We are seeking an emerging Autonomy and Artificial Intelligence \\(A/AI\\) Research Engineer to join a highly skilled team of systems engineering technologists and algorithm developers supporting various contracts and IRADs within Missiles and Fire Control\\\. A/AI Engineer tasks include: Design, implement, and test Deep Learning object detection and classification solutions and image processing and augmentation methods for missile and fire control products Develop, verify, and validate both complex models and simulations that utilize convolutional neural networks, transformers, generative AI, and other such techniques to detect and classify objects of interest Deploy AI/ML algorithms to CPUs, GPUs or edge devices Evaluate system performance in complex scenarios and environments and verify system and subsystem level requirements Perform critical studies, analyses, and test activities that support ground and flight test efforts including Hardware\\-In\\-The\\-Loop \\(HWIL\\) activities Support program reviews and technical interchange meetings with internal leadership and/or external customers \\\\Basic Qualifications:\\\\ Candidate must have a Masters degree in computer science, computer engineering, electrical engineering, aerospace engineering, applied mathematics, or similar Candidate must have demonstrated the ability to perform one or more of the following AI/ML assignments based on completed course work or professional experience: Train and inference on modern deep learning neural networks for object detection and classification and analyze results Candidate should be proficient in one or more of the following languages: Python, C\\\+\\\+, Matlab Demonstrate strong math skills in the areas of linear algebra, matrix math, statistics, trigonometry, and convolution transformations Must be a US Citizen; this position will require a government security clearance\\\. This position is located at a facility that requires special access\\\. \\\\Desired Skills:\\\\ Experience developing and analyzing algorithms related to computer vision Ability to perform preflight system performance assessment and post flight verification analyses Experience designing and analyzing object detection and classification networks and applying image augmentation and explainable AI Demonstrated skills in probability, statistics, and Design of Experiments \\(DOE\\) Experience deploying algorithms that satisfy real\\-time performance requirement to various hardware platforms \\\\Security Clearance Statement:\\\\ This position requires a government security clearance, you must be a US Citizen for consideration\\\. \\\\Clearance Level:\\\\ Secret with Investigation or CV date within 5 years \\\\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 employer\\\. Qualified candidates will be considered without regard to legally protected characteristics\\\.\\\\ \\\\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 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, youre 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:\\\\ 4 yr and up College \\\\Business Unit:\\\\ MISSILES AND FIRE CONTROL \\\\Relocation Available:\\\\ Possible \\\\Career Area:\\\\ Artificial Intelligence \\\\Type:\\\\ Full\\-Time \\\\Shift:\\\\ First

The candidate must possess a Master's degree in a relevant field such as computer science, computer engineering, electrical engineering, aerospace engineering, or applied mathematics. Demonstrated ability in training and inferencing modern deep learning neural networks for object detection and classification, along with analyzing results, is required. Proficiency in programming languages like Python, C++, or Matlab is necessary. Strong mathematical skills in linear algebra, matrix math, statistics, trigonometry, and convolution transformations are also essential. The position requires US citizenship and eligibility for a government security clearance.