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Lockheed Martin
AI / Machine Learning Engineer Sr- Secret Required- Moorestown, NJ
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What they do
A Machine Learning Engineer specializes in designing, building, and deploying machine learning models. They utilize statistical and mathematical techniques, parallelizing processing, hyperparameter tuning, and other optimization methodologies to improve model performance. Responsibilities also include collecting and preprocessing large datasets, conducting exploratory data analysis, working closely with data engineers to understand data requirements, and engineer input variables for machine learning models.
$130,801 / year median in New Jersey
Job Description
AI / Machine Learning Engineer Sr- Secret Required- Moorestown, NJ Full Time Moorestown, NJ, United States Posted 2 years ago Applications have closed Lockheed Martin Category Software Engineers/Developers Tags Industry Machine Learning Neural Networks NLP United States Share This Click to share on LinkedIn (Opens in new window) Click to share on Facebook (Opens in new window) Click to share on Twitter (Opens in new window) More Click to share on Reddit (Opens in new window) Click to share on Pinterest (Opens in new window) Click to share on Tumblr (Opens in new window) Click to share on Pocket (Opens in new window) Login to bookmark this Job Overview About the position The Lockheed Martin Artificial Intelligence Center (LAIC) is seeking an experienced software engineer with a strong background in artificial intelligence and machine learning. The role involves supporting the Applied AI team in developing technologies and products that leverage AI to enhance capabilities for customers. The candidate will engage in all phases of the system development lifecycle, from requirements generation to deployment, and will work on a variety of projects that require innovative solutions and rapid iteration. Responsibilities
- Develop technologies and products leveraging Artificial Intelligence. ,
- Engage in all phases of the system development lifecycle including requirements generation, system and software design, implementation, integration, and flight test. ,
- Conduct low TRL research and proof of concepts. ,
- Develop prototypes and build demonstrators for transition to production. ,
- Utilize AI paradigms such as computer vision, deep learning, and reinforcement learning to solve complex problems. ,
- Assume technical lead responsibilities and mentor junior engineers. Requirements
- Bachelor's Degree in Software Engineering, Computer Science, or related discipline, or equivalent experience. ,
- Experience with machine learning frameworks (Pytorch, Tensorflow, MxNet, Caffe, Keras). ,
- Proficiency in Python and libraries (NumPy, OpenCV, Scikit, Pandas, SciPy). ,
- Experience with large dataset analysis and visualization. ,
- Active US DoD security clearance. ,
- Must be a US Citizen. Nice-to-haves
- Master's Degree in Engineering, Computer Science, or related discipline with a specialization in Artificial Intelligence. ,
- Experience with Linux application development. ,
- Familiarity with DevOps tools: Docker, Git, CI/CD, unit testing frameworks. ,
- Experience with training deep neural networks and AI algorithms. ,
- Proficiency in C++, Java, and other compiled languages. ,
- Experience with modern Computer Vision and RF signal processing. ,
- Familiarity with high-performance computing and network/messaging protocols. ,
- Experience interfacing with databases (SQL, MongoDB). ,
- Familiarity with software defined radios. Benefits
- Flexible work schedules including condensed work weeks. ,
- Paid Time Off benefits. ,
- Relocation assistance may be available.