Machine Learning Scientist

Radiance Technologies is searching for a talented Research Data Scientist to join the Advanced Cyber Technology Operation in its Scientific and Technical Intelligence Group. This individual will provide expertise in data analytics and algorithm development supporting the integration and analysis of diverse data sources and will apply machine learning, data mining, and statistical algorithms to provide insights and advance the needs of various stakeholders.

This position will particularly focus on application, research, and development of advanced deep-learning architectures. The ability to work under strict project timelines requires a research-oriented individual capable of independent ideation and effective task prioritization. Flexibility and willingness to transition between applications is critical as our mission calls for a wide variety of domains including embedded systems, hardware and software security, remote sensing, modeling and simulation, and scientific computation (biology, thermodynamics, electromagnetics, etc.).

Responsibilities will include documentation of technical progress, effective communication within a team, and presentation of results and progress.

• Master’s Degree in Computer Science, Mathematics, Statistics, Physics, or related area
• Minimum GPA of 3.5
• US citizenship with the ability to obtain a security clearance
• Strong programming background in Python
• A working knowledge of major Deep-Learning architectures:
  Multilayer Perceptrons (MLPs), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Autoencoders, and Transformers
• Experience in applying core Machine Learning methodologies:
  Regression, Classification, Dimensionality Reduction, Neural Networks & Deep Learning, Feature Engineering, Reinforcement Learning

• Possesses or pursuing Ph.D. in Computer Science, Mathematics, Statistics, Physics, or related area
• Publications/presentations demonstrating strong research experience
• Experience in an applied quantitative, scientific domain
• Experience with PyTorch, Pandas, Seaborn, Sci Py, or respective similar libraries
• Experience with Git and modern Dev Sec Ops  practices
• Experience with modern MLOps frameworks such as ClearML
• Strong programming background in C++
• Experience with numerical and computational methods
• Knowledge of differential equations
• Knowledge of algorithm analysis and computing theory
• Knowledge of graph theory

Applicants selected may be subject to a government security investigation and must meet eligibility requirements for access to classified information.

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.

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 our 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,…