STR is seeking a Research Engineer to join our tight-knit, growing Autonomy team. We design, develop, and demonstrate software to control distributed autonomous robots. The software ranges from early prototypes to fielded systems and will revolutionize the way that heterogeneous teams of autonomous robotic systems (e.g., drone swarms) assist humans in accomplishing shared objectives. This hybrid position is based out of STR's 3500 sq.ft., state-of-the-art Autonomy lab, which is located steps from STR's Woburn, MA corporate headquarters. We are seeking experienced candidates in search of impactful Research and Development (R&D) opportunities.

STR's Analytics division researches and develops advanced analytics and machine learning-based solutions to solve challenging problems related to national security. Our team consists of passionate and motivated engineers with advanced degrees in engineering, computer science, mathematics, and data science, who are seeking opportunities to use their deep technical knowledge and creativity to tackle some of the hardest problems that our customers face. Our projects span multiple different data modalities and incorporate advanced algorithms, deep learning, and statistical techniques to uncover patterns in social media, structured and unstructured text, time series, geospatial, and imagery data, and must operate under challenging constraints not typically found in the commercial world. The tools and technologies we develop have real world impact and US Government analysts use them to extract and enrich intelligence information around the globe. As a Machine Learning Researcher, you will utilize State of the Art (SOTA) deep learning methods to work with disparate and unlabeled multimodal data sources to create a knowledge engine that can be easily queried by humans.

STR's Analytics division researches and develops advanced analytics and machine learning-based solutions to solve challenging problems related to national security. Our team consists of passionate and motivated engineers with advanced degrees in engineering, computer science, mathematics, and data science, who are seeking opportunities to use their deep technical knowledge and creativity to tackle some of the hardest problems that our customers face. Our projects span multiple different data modalities and incorporate advanced algorithms, deep learning, and statistical techniques to uncover patterns in social media, structured and unstructured text, time series, geospatial, and imagery data, and must operate under challenging constraints not typically found in the commercial world. The tools and technologies we develop have real world impact and US Government analysts use them to extract and enrich intelligence information around the globe. As a Data Scientist, you will analyze a diverse of collection of interesting and challenging datasets to develop, implement, and evaluate statistical machine learning algorithms to discover interesting trends and form valuable intelligence insights.

STR is seeking a Software Engineer to join our growing Autonomy team, with a focus on building User Interfaces (UIs) for controlling teams of autonomous robotic systems. As part of STR's Autonomy team, you will design, develop, and test software that ranges from early prototypes to fielded systems and will revolutionize the way that humans interact with robotic systems. You will be able to develop and test your software in simulation, live demonstration, and field experiments. This hybrid position is based in STR's state-of-the-art Autonomy lab, which is located steps from STR's Woburn, MA corporate headquarters. We are seeking candidates at all levels – from established technical leads with proven experience to talented recent graduates seeking impactful research and development opportunities.

STR's Analytics division researches and develops advanced analytics and machine learning-based solutions to solve challenging problems related to national security. Our team consists of passionate and motivated engineers with advanced degrees in engineering, computer science, mathematics, and data science, who are seeking opportunities to use their deep technical knowledge and creativity to tackle some of the hardest problems that our customers face. Our projects span multiple different data modalities and incorporate advanced algorithms, deep learning, and statistical techniques to uncover patterns in social media, structured and unstructured text, time series, geospatial, and imagery data, and must operate under challenging constraints not typically found in the commercial world. The tools and technologies we develop have real world impact and US Government analysts use them to extract and enrich intelligence information around the globe. As a Data Scientist, you will analyze a diverse collection of interesting and challenging datasets to develop, implement, and evaluate statistical machine learning algorithms to discover interesting trends and form valuable intelligence insights.

STR's Analytics division researches and develops advanced analytics and machine learning-based solutions to solve challenging problems related to national security. Our team consists of passionate and motivated engineers with advanced degrees in engineering, computer science, mathematics, and data sciences, who are seeking opportunities to use their deep technical knowledge and creativity to tackle some of the hardest problems that our customers face. Our projects span multiple different data modalities and incorporate advanced algorithms, deep learning, and statistical techniques to uncover patterns in social media, structured and unstructured text, time series, geospatial, and imagery data, and must operate under challenging constraints not typically found in the commercial world. The tools and technologies we develop have real world impact and are used by analysts to extract and enrich intelligence information around the globe. In the Machine Learning Engineer – Algorithms Lead role, you will lead teams that develop and evaluate statistical and machine learning algorithms to uncover hidden information and patterns from a diverse collection of massive datasets.