Lead Research Scientist – Machine Learning

Lead Research Scientist – Machine Learning

About the team

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 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.

The role

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:

• Active Top Secret Clearance Required with SCI eligibility, for which U.S citizenship is needed by the U.S government
• MS with at least 5-10 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 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 team
• Able to communicate technical foundations of models and algorithms to technical and non-technical audiences
• Have experience in intelligence or military-related mission areas

Even better:

• 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

Pay information

Full-Time Salary Range: $157,000 - $224,000

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.