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Machine Learning Scientist

Radiance Technologies
Ruston, USA
Full-time
Mid
Onsite
Discovered 2 weeks ago
gitpandaspythonpytorch

Full Job Posting

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.

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: 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

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