Machine Learning Engineer

Radiance is seeking a Machine Learning Engineer who will advance the artificial intelligence capabilities of the National Air and Space Intelligence Center at Wright Patterson Air Force Base. This engineer will provide expertise in data analytics and algorithm development supporting the integration and analysis of diverse data sources and develop machine learning, data mining and statistical algorithms for pattern recognition and anomaly detection. Additionally, this position will improve upon current methods for the automated processing and exploitation of large data sets. This will include R D on projects involving the exploitation of data from sensors including investigation of state-of-the-art machine learning classification methods to detect, track, and characterize targets of interest. Radiance Technologies is an employee-owned company with benefits that are unmatched by most companies in the Dayton OH area. Employee ownership, generous 401K, full health/dental/life/vision insurance benefits, interesting assignments, educational reimbursement, competitive salaries and a pleasant work environment combine to make Radiance Technologies a great place to work and succeed.

Required Experience:

A working knowledge of Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) Experience in applying core Machine Learning methodologies:

Regression, Classification, Clustering, Decision Trees, Dimensional Reduction, Neural Networks & Deep Learning, Feature Engineering Required Skills & Qualifications:

Bachelor's Degree in a quantitative field such as Physics, Engineering, Computer Science, Statistics, or a related field Strong programming skills in at least one of the following languages Python, Matlab, C++ Experience with Machine Learning APIs, such as TensorFlow, PyTorch, or Keras Active Secret Clearance with ability to obtain and maintain a

TS/SCI Desired Skills:

ML for either natural language processing, computer vision, reinforcement learning, generative modeling, or equivalent experience PhD in data science, mathematics, statistics, computer science, a physical science or engineering is strongly desired A mathematical background (Probability and Statistics) An experienced grasp of version control using Git for nonlinear workflows Thorough understanding of working in research, development and production environments Background in image science, imagery exploitation, spatial analysis, and computer vision are a plus R D on remotely sensed data to include modeling and development of algorithms. Ability to work independently or in a team environment Strong technical writing and oral communication skills Active Top Secret/SCI clearance Radiance Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Our growth is creating great opportunities! Our team is expanding, and we want to hire the most talented people we can. Continued success depends on it! So once you've had a chance to explore our current open positions, apply to the ones you feel suit you best and keep track of both your progress in the selection process, and new postings that might interest you! Thanks for your interest in working on our team!! Employee-Ownership Radiance is a proud employee-owned company! Employee-ownership benefits both our customers and workforce, and ensures that Radiance doesn't have to answer to stockholders or be driven by quarterly earnings reports. Thus, Radiance will always prioritize enhancing our customer's mission over expanding our bottom line. We are singularly focused on providing our customers with game-changing solutions to their most challenging requirements. This is only possible because employee-ownership attracts the highest quality employees, empowers them to identify capability enhancements, and provides them with the freedom to take risks to deliver high-quality solutions. Employee-ownership also provides tangible and long-term financial security for our people and their families. Therefore, employee-ownership embodies participation, empowerment, freedom, teaming, excellence, accountability, mission focus, and security. Our Culture Radiance's culture is driven by our commitment to our customers and our employee-owners. Our employee-owners thrive on entrepreneurship, empowerment, and mutual responsibility for growth and sustainability. Our culture consists of individuals who embody technical and leadership skills to deliver superior solutions to the nation's toughest technical challenges. We believe building trust and credibility with our customers leads to long-term results. We invest in a superior technical workforce where leaders are developed, innovation is encouraged, and achievements are recognized. We seek innovative ways to improve, experiment, take risks, foster collaboration, and empower our employee-owners. Our Values Our values drive our culture, business model, and daily interactions. These values constantly remind us of who we are and what we do. Our employee-owners influence how we operate our business. We relentlessly pursue operating excellence by innovating, improving our processes, and reducing waste. We believe in being wise and ethical stewards of capital and resources. Our values dictate how we interact with each other and our customers, partners, and suppliers. Honesty, trust, humanity, alignment, and value creation require that we treat our employees with dignity and respect and provide them with fair compensation and equal employment opportunity. We believe in connecting with our communities and have a responsibility to be good corporate citizens, and we believe in sustainable business practices, which include supporting the environment and the communities in which we work.