L3Harris Specialist, Machine Learning and Computer Vision Engineering in Cincinnati, Ohio
Job Title: Specialist, Image Science Engineering
Job Code: IMS20200710-51511
Job Location: Tulsa, OK (Aeromet) or Mason, OH
About L3Harris Aeromet
L3Harris -Aeromet is a Division of Integrated Mission Systems Segment and main office is located in Tulsa, OK. L3Harris-Aeromet is established within the DoD Community as the developer and operator of special mission ISR systems. We provide special mission system design, modification, and operations with emphasis on the development and integration of state-of-the-art EO/IR sensor systems.
L3Harris Aeromet has an opportunity for an Image Science Engineer working to apply Data Science techniques to our advanced EO/IR mission systems and processing tools. We are seeking a skilled engineer with a capability to work with full motion, multi-spectral video to produce new capabilities that will be deployed to a number of environments. The successful candidate will join an engineering team developing statistical learning models and real-time active, passive, and multi-spectral optical systems in support of the national defense.
EOIR Image Processing
Evaluation and optimization of ML/DL models for target hardware
Model and Data Visualization
Model Architecture research and development
Pipeline Development/Data Engineering
Bachelors or Graduate Degree in Computer Science, Mathematics, Statistics, or related field.
4-5 years of relevant experience or 2-3 with master’s using unsupervised learning techniques such as PCA or Clustering for exploratory data analysis.
4-5 years of relevant experience or 2-3 with master’s using supervised learning techniques to train and test ML/DL models.
4-5 years of relevant experience of 2-3 with master’s designing and implementing generative models such as Generative Adversarial Networks and Vibrational Auto-encoders.
Strong Python, or other scientific language, experience.
Strong Image and/or Signal Processing experience with multi-spectral imagery.
Experience designing (Hidden) Markov chain processes e.g. Kalman Filters, Particle Filters.
Experience with learning under uncertainty i.e. Bayesian inference.
Experience in C/C++
Experience with modern software engineering design patterns and OOP.
Preferred Additional Skills:
Experience with Optimization/Quantization libraries for Model deployment e.g. TensorRT and OpenVINO
Experience with HPC languages/frameworks e.g. Cuda, OpenCL
Experience with low-power processing architectures (e.g. NVidia Jetson, Intel Movidius)
Experience in model development/deployment lifecycle.
Mentorship/Teaching/Team lead experience.
An interest to participate in the overall AI/ML community e.g. attend and present at premier conferences.
Experience in long tail data distributions and long tail classification.
L3Harris Technologies is proud to be an Affirmative Action/Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law.