Machine Learning Scientist

Radiance Technologies; Ruston (LA); On-site; USD 90,000 - 150,000; Full time

Job summary

Radiance Technologies is seeking a Research Data Scientist to join the Advanced Cyber Technology Operation. You will apply machine learning, data mining, and statistical algorithms to analyze diverse data sources and provide insights to stakeholders, with a focus on developing advanced deep-learning architectures.

The role requires a Master’s degree, GPA 3.5, US citizenship with the ability to obtain a security clearance, and strong Python skills, plus expertise in DL architectures such as CNNs,

Qualifications

• 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: MLPs, CNNs, RNNs, Autoencoders, and Transformers.
• Experience in applying core Machine Learning methodologies: Regression, Classification, Dimensionality Reduction, Neural Networks & Deep Learning, Feature Engineering, Reinforcement Learning.

Responsibilities

• Documentation of technical progress and effective communication within a team.
• Presentation of results and progress to stakeholders.
• Support integration and analysis of diverse data sources and platforms.
• Develop and apply advanced deep‑learning architectures and ML methodologies.

Skills

Python

Deep Learning

Machine Learning

Research

Education

Master's degree

GPA 3.5

PhD (desired)

US citizenship

Tools

PyTorch

Pandas

Seaborn

SciPy

Git

ClearML

C++

Job description

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.

Required Skills

• 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

Desired Qualifications

• 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, SciPy, or respective similar libraries
• Experience with Git and modern DevSecOps practices
• Experience with modern MLOps frameworks such as ClearML
• Strong programming background in C++
• Experience with numerical and computational methodsKnowledge of differential equations
• Knowledge of algorithm analysis and computing theory
• Knowledge of graph theory

Clearance

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.