CFD Research Corporation · 7 hours ago
Machine Learning Engineer (Intelligence & Sensing)
CFD Research is a technology solutions company specializing in Aerospace & Defense, Biomedical & Life Sciences, Intelligence & Sensing, and Energy & Materials. They are seeking a Machine Learning Engineer to develop and advance high-performance computer vision and perception models for various applications, focusing on object detection, recognition, and tracking. The role involves collaboration with R&D teams to deliver production-quality models and requires expertise in machine learning and computer vision.
Cyber SecurityInformation TechnologyProduct DesignProduct ResearchSoftware
Responsibilities
Join a small, multidisciplinary R&D team focused on developing and advancing high-performance computer vision and perception models for intelligence, defense, and biomedical applications
Design and implement predictive and generative machine learning models for object detection, recognition, and tracking with an emphasis on robustness, accuracy, and scalability across diverse operational conditions
Collaborate with researchers and engineers to translate domain-specific challenges into effective learning-based solutions and to deploy production-quality models across desktop, cloud, and edge software environments
Contribute across the full model development lifecycle, from problem definition and data exploration through training, evaluation, and deployment of robust, high-performance vision and tracking pipelines
Perform exploratory data analysis, neural network architecture design and tuning, integration with sensor data streams, and rigorous quantitative and qualitative evaluation to ensure accuracy, stability, and generalization
Develop reliable, scalable models and use GPU acceleration where appropriate
Collaborate closely with engineers and subject matter experts across multiple domains to deliver validated, production-ready solutions
Qualification
Required
Candidate must be a U.S. Citizen and possess (or be eligible to obtain) and maintain a SECRET clearance
Master's degree in Computer Science, Electrical/Computer Engineering, Applied Mathematics, Physics, or a related STEM discipline
Strong proficiency in Python, with demonstrated experience developing and optimizing computer vision algorithms for real-time execution on embedded and edge platforms
Advanced understanding of computer vision and machine learning methods for object detection, object tracking, and object recognition
Proficiency with deep learning frameworks such as PyTorch or TensorFlow/Keras, including experience modifying or extending framework components to support custom vision pipelines and specialized hardware accelerators
Preferred
Experience with embedded vision systems, including low-level optimization in C/C++ or assembly, and integration of perception algorithms with sensor data streams (e.g., EO/IR, video, or multimodal inputs)
Proven track record of deploying computer vision and target tracking models into production environments, particularly on resource-constrained devices or distributed edge-compute architectures
Deep expertise in CUDA and/or OpenCL for accelerating image processing, neural network inference, and tracking pipelines on GPU-enabled systems
Experience with OpenGL and/or WebGL for real-time visualization of detections, tracks, sensor data, and algorithm outputs
Fluency working in Linux-based HPC and shared compute environments, with experience scaling training and evaluation of vision and tracking models across multiple GPUs or nodes
Experience collaborating within multidisciplinary engineering teams using Git-based version control workflows for code development, review, and integration
Benefits
Competitive salaries
Excellent employee benefits
Employer matching 401(k)
Employee Stock Ownership Plan (ESOP)
Highly competitive insurance package, including medical, vision, and dental insurance
Company paid leave
Compensation time
Parental leave
Long-term and short-term disability
Accidental death and dismemberment
Life insurance
Performance appraisals occur twice a year
Annual pay increases are based upon corporate goals, personal development, performance, and outstanding achievements
Group and individual bonuses are awarded for exceptional performance
Company
CFD Research Corporation
Founded in 1987, CFD Research develops innovative technologies that advance national security, aerospace, defense, life sciences, materials, and energy.
Funding
Current Stage
Growth StageTotal Funding
unknownKey Investors
Innovate Alabama
2023-08-09Grant
2022-08-30Grant
Leadership Team
Recent News
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2025-12-01
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