Senior Research Scientist - Machine Leaning

The Role

As a Senior 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.

Who you are

• BS + 5 years, MS + 3 years, PhD or equivalent experience in a scientific field such as applied math, physics, electrical engineering, computer science, or data science
• Experience building and training neural networks using standard deep learning tools (e.g., PyTorch, JAX, TensorFlow)
• Ability to perform experiment design, modeling/simulation runs, and associated verification and performance analysis using standard analysis tools (e.g. Python)
• Experience with standard data science tools including scikit-learn, Pandas, and Matplotlib
• Proficiency in one or more programming languages: Python, C/C++
• Able to work and collaborate on multi-disciplinary teams
• Ability to obtain a security clearance, for which U.S. citizenship is needed by 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
• Experience adapting novel machine learning approaches (e.g., from academic literature) to new data sets and problems
• Able to communicate technical foundations of models and algorithms to technical and non-technical audiences
• Expertise working with time series, geospatial, and/or spatio-temporal data

Pay Information

Full-Time Salary Range: $139,000 - $165,000

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.