AI/ML Research Engineer

Key Skills

Java Programming, Python Programming, MongoDB, C++, SQL, Git, GoLang, Machine learning techniques, Keras software library, PyTorch, TensorFlow, Docker, Continuous Integration & Continuous Delivery - CI/CD, Scikit-learn, AI technology, RESTful, Caffe

Job Description

The Lockheed Martin Mission Processing Machine Learning Team is seeking a high energy research scientist/developer to support several Automatic Target Recognition programs. In this role, you will be embedded in the AI team working alongside data engineers, Machine Learning / AI engineers, software architects, and data scientists. This person should be focused on innovative approaches to enhance the efficiency of getting products to the war fighter using machine learning. The candidate should also have a passion for imaging science, math and physics.

• This Candidate would be responsible for design/implement/test new algorithm capabilities in support signal/image processing, and would be able to develop scripts/code in matlab and/or python to prototype and evaluate capabilities.
• The selected candidate will:
• Work closely with other AI/ML Engineers, Data Scientists and Data Engineering Subject Matter Experts on a variety of machine learning applications. These will be research and analysis as well as operations ready algorithms.
• Create, update, and evaluate new algorithms and performance.
• Work in a variety of environments, cloud, edge and on board deployments
• Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information. Additionally, they will contribute to a broad range of projects across Missions Solutions to increase value to the customer.

Basic Qualifications:

• Excels working in a collaborative team environment
• Strong verbal and written communication skills
• Experience in designing and evaluating algorithms in Matlab/python
• Strong in mathematics and physics
• Modeling and performance assessment of remote sensing systems
• Solid understanding of remote sensing phenomenology
• Experience in research, and development
• Experience in machine learning, deep learning, and computer vision (e.g. CNNs, Detection Networks, Segmentation Networks, etc.)
• Creative and resourceful when it comes to problem-solving
• A passionate can-do attitude
• You are not afraid to try, learn, and improve
• Self-motivated, self-directed, and the ability to thrive in a fast-paced environment in an industry that constantly changes
• Knowledge of data science workflows
• Bachelor's degree in computer science, mathematics, applied statistics, various engineering fields, or related STEM subject area

Desired Skills:

• MS in EE or Imaging Science Experience in evaluating Remote Sensing Systems
• Ability to follow disciplined coding standards and practices
• Experience in multiple remote sensing phenomenologies (for example EO/IR/SAR)
• Experience in enhanced image processing techniques (for example artifact detection and mitigation) Radiometric calibration of remote sensing systems Experience with 2D and 3D registration algorithms for image products
• Proficient in programming languages (Python, Java, MatLab, JavaScript, C++)
• Knowledge of cloud-based technologies
• Knowledge of data science technologies (AWS/C2S – specifically Sagemaker, Docker, Kubernetes, Keras, Tensorflow, etc.)
• Knowledge of DevSecOps software development practices
• Knowledge of IT distributed system architectures
• Experience in enterprise software applications (JIRA, Slack, etc.)

Career Area: Artificial Intelligence | Job ID: 550680BR