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Lead Research Scientist - Machine LearningScience & Technology Research (STR) • United States
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Lead Research Scientist - Machine Learning

Science & Technology Research (STR)
  • US
    United States
  • US
    United States
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À propos

Lead Research Scientist - Machine Learning
The Signals Exploitation and Tracking (SET) Group in the Analytics and C2 Division focuses on applying machine learning, statistics, estimation theory, and information theory algorithms for signals exploitation, target tracking, predictive analytics, and system resource management. As a Lead Research Scientist at STR, you will help develop disruptive technologies focused on signals exploitation, estimation theory, system resource management, and systems analysis. You will lead the development of cutting-edge AI/ML algorithms for novel application domains and modalities, participate on and lead project teams, and interact with customers. You will explore fascinating datasets, develop cutting-edge algorithmic techniques, and solve high-impact, unique problems for our customers. We are looking for someone to join our team onsite as this position is based primarily in the Woburn, MA office. Who You Are: MS with at least 8 years of experience, and/or PhD with at least 5 years of experience (or equivalent experience) in a scientific field such as applied math, physics, electrical engineering, computer science, or data science Experience building neural networks using standard deep learning tools (e.g., PyTorch, JAX, TensorFlow), including implementing new layers/network architectures, model training, hyperparameter tuning, and ablation studies Experience adapting novel machine learning approaches (e.g., from academic literature) to new data sets and problems 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 Ability to obtain and maintain a security clearance, for which U.S citizenship is needed by the U.S government Even Better: Active US government security clearance Experience applying deep learning to domains other than images/text, such as time series, discrete event sequence, or geospatial Experience with self-supervised machine learning Expertise working with time series, geospatial, and/or spatio-temporal data Experience in intelligence or military-related mission areas Pay Information Full-Time Salary Range: $174,000 - $220,000 The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.
  • United States

Compétences linguistiques

  • English
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