STR · 17 hours ago
Lead Research Scientist - Machine Learning
Systemstechnologyresearch is a growing technology company specializing in advanced research and development for defense, intelligence, and national security. As a Senior Research Scientist, you will lead the development of AI/ML algorithms and participate in project teams to solve complex problems related to signals exploitation and resource management.
Artificial Intelligence (AI)Machine Learning
Responsibilities
Help develop disruptive technologies focused on signals exploitation, estimation theory, system resource management, and systems analysis
Lead the development of cutting-edge AI/ML algorithms for novel application domains and modalities
Participate on and lead project teams
Interact with customers
Explore fascinating datasets
Develop cutting-edge algorithmic techniques
Solve high-impact, unique problems for our customers
Qualification
Required
MS with at least 5 years of experience, and/or PhD with at least 2 years of experience, (or equivalent experience) in a scientific field such as applied math, physics, electrical engineering, computer science, or data science
Experience designing and implementing experiments to verify and compare algorithm performance with measured data and/or simulations using standard analysis tools (e.g., Python)
Experience building neural networks using standard tools (e.g., PyTorch, JAX, TensorFlow), including implementing new layers/network architectures, model training, hyperparameter tuning, and ablation studies
Experience with standard data science tools such as scikit-learn, Pandas, and Matplotlib
Proficiency in one or more programming languages: Python, C/C++
Able to work, collaborate on, and lead multi-disciplinary teams
Able to communicate technical foundations of models and algorithms to technical and non-technical audiences
Preferred
Have experience in statistical inference, systems simulation capabilities, Monte Carlo or optimization methods, and/or data structures
Have expertise working with time-series sensor data (sampled signals and/or discrete event series)
Have expertise working with geospatial and/or spatio-temporal data
Have experience in intelligence or military-related mission areas