Machine Learning Scientist
At a glance
Mid-level AI Research role at Radiancetech. Ruston · full-time · no salary stated · we estimate $135,000–$232,000 across the United States.
Radiancetech has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Develop algorithms and analyze varied data sources, using machine learning, data mining and statistical methods to produce insights
- Research and build advanced deep-learning architectures for different applications
- Shift between technical domains such as embedded systems, security, remote sensing or scientific computation as project needs change
- Track technical progress in documentation, coordinate with teammates and present results
- Prioritize research tasks and deliver under tight project timelines
What you bring
- A master’s degree in computer science, mathematics, statistics, physics or a related field, with a GPA of at least 3.5
- U.S. citizenship and eligibility to obtain a security clearance
- Strong Python programming skills and familiarity with major deep-learning architectures, including CNNs and transformers
- Experience applying machine-learning methods such as regression, classification, feature engineering or reinforcement learning
Who this fits
This role suits a research-oriented scientist who can generate ideas independently, prioritize work and move between technical applications. You must be a U.S. citizen and able to qualify for a security clearance.
From the employer
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.