Turn this role into an interview — a resume and cover letter built around what this employer wants.
STR in Woburn, MA is seeking a Senior Research Scientist - Machine Learning to develop innovative algorithms focused on signals exploitation and resource management. This role demands a PhD or equivalent experience alongside strong technical skills in machine learning and data analytics.
Ideal candidates have experience with deep learning tools and a track record of solving complex problems with cutting-edge technologies. STR is dedicated to equal opportunity employment.
Location: Woburn, MA
STR’s Analytics and C2 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 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 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. We are looking for someone to join our team onsite as this position is based primarily in the Woburn, MA office.
Full‑Time Salary Range: $139,000 - $165,000
STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws.