Senior Research Scientist - Machine Learning

STR • Woburn, MA

11h • $134,000 - $184,000 • Onsite

About The Position

STR’s Analytics Division researches and develops novel technologies to solve challenging national security problems through advanced analytics. Our team consists of passionate and motivated engineers and scientists with advanced degrees in engineering, computer science, mathematics, physics, and data science. We use our expertise and creativity to take innovative ideas from conception to mature implementation in order to improve mission success of our customers.
The Signals Exploitation and Tracking (SET) Group in the Analytics Division focuses on applying machine learning, statistics, estimation, and information theory algorithms for signals exploitation, target tracking, and system resource management.
As a Research Scientist at STR, you will help develop disruptive technologies focused on signals exploitation, estimation theory, system resource management, and systems analysis. You will develop cutting edge AI/ML algorithms for novel application domains and modalities, participate on 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.

Requirements

• BS + 5 years, MS + 3 years, or equivalent experience in a scientific field such as applied math, physics, electrical engineering, computer science, or data science
• Ability to perform experiment design, modeling/simulation runs, and associated verification and performance analysis using standard analysis tools (e.g. Python or MATLAB)
• Familiar with a deep learning framework (e.g., PyTorch, JAX, TensorFlow) and data science tools such as scikit-learn, Pandas, and Matplotlib
• Proficiency in one or more programming languages: Python, C/C++
• Able to work and collaborate on multi-disciplinary teams

Nice To Haves

• Have experience in systems simulation capabilities, Monte Carlo or optimization methods, data structures
• Able to communicate technical foundations of models and algorithms to technical and non-technical audiences
• Have expertise working with time-series sensor data
• Have experience in intelligence or military-related mission area

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level