Asks for

The ad says“A working knowledge of major Deep-Learning architectures: Multilayer Perceptrons (MLPs), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Autoencoders, and Transformers”
The ad says“Strong programming background in C++”
The ad says“Experience in applying core Machine Learning methodologies: Regression, Classification, Dimensionality Reduction, Neural Networks & Deep Learning, Feature Engineering, Reinforcement Learning”
The ad says“A working knowledge of major Deep-Learning architectures: Multilayer Perceptrons (MLPs), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Autoencoders, and Transformers”
The ad says“Experience in applying core Machine Learning methodologies: Regression, Classification, Dimensionality Reduction, Neural Networks & Deep Learning, Feature Engineering, Reinforcement Learning”
The ad says“A working knowledge of major Deep-Learning architectures: Multilayer Perceptrons (MLPs), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Autoencoders, and Transformers”
The ad says“Experience in applying core Machine Learning methodologies: Regression, Classification, Dimensionality Reduction, Neural Networks & Deep Learning, Feature Engineering, Reinforcement Learning”
The ad says“Experience in applying core Machine Learning methodologies: Regression, Classification, Dimensionality Reduction, Neural Networks & Deep Learning, Feature Engineering, Reinforcement Learning”
The ad says“A working knowledge of major Deep-Learning architectures: Multilayer Perceptrons (MLPs), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Autoencoders, and Transformers”
The ad says“Experience in applying core Machine Learning methodologies: Regression, Classification, Dimensionality Reduction, Neural Networks & Deep Learning, Feature Engineering, Reinforcement Learning”
The ad says“Strong programming background in Python”
The ad says“A working knowledge of major Deep-Learning architectures: Multilayer Perceptrons (MLPs), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Autoencoders, and Transformers”
The ad says“Experience in applying core Machine Learning methodologies: Regression, Classification, Dimensionality Reduction, Neural Networks & Deep Learning, Feature Engineering, Reinforcement Learning”
The ad says“Experience in applying core Machine Learning methodologies: Regression, Classification, Dimensionality Reduction, Neural Networks & Deep Learning, Feature Engineering, Reinforcement Learning”
The ad says“A working knowledge of major Deep-Learning architectures: Multilayer Perceptrons (MLPs), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Autoencoders, and Transformers”

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 methods

Knowledge 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.

Asks for

Values