Machine Learning Researcher
At Systems & Technology Research (STR), we harness the power of technology to solve challenging national security problems. Our nation's military and intelligence services employ advanced technologies at all echelons, from central commands to battlefields, to create strategic and tactical advantage. Our mission is to provide this advantage through the development and delivery of innovative sensors and information processing capabilities. Recent applications include analysis of social media and discovery of activities and patterns of life in massive data sets.
STR is seeking researchers and engineers with a strong background in machine learning to support exciting new projects in the Woburn, MA area. This posting is for one or more full time positions.
Job Description:
Qualifications:
STR seeks to provide an outstanding work environment for its employees with excellent benefits and competitive compensation. Full-time employees enjoy 401(k), profit sharing, health and welfare benefits, subsidies for training and conference attendance to foster continued learning and development, and a casual yet technically challenging work environment.
STR is dedicated to fostering a diverse and inclusive workforce where all employees, regardless of race, ethnicity, gender, neurodiversity, or other personal characteristics, feel valued, included, and empowered to achieve their best. We recognize that each employee’s backgrounds, experiences, and perspectives are essential for providing our customers with innovative solutions to challenging national security problems. STR’s commitment to attracting, retaining, and engaging talented and diverse professionals is demonstrated by our participation, sponsorship, and support in local and national minority organizations.
Applicants must be US Citizens.
STR is seeking researchers and engineers with a strong background in machine learning to support exciting new projects in the Woburn, MA area. This posting is for one or more full time positions.
Job Description:
- Develop, implement, and apply advanced statistical machine learning techniques to problems in social media, graph analytics, text analytics, activity-based intelligence, and discovery of patterns of life
- Work with massive amounts of data collected from diverse sources
- Collaborate with a team of machine learning researchers and software engineers to develop research prototypes and deployable software systems
- Adapt state of the art academic research to problems of interest and develop new research concepts
- Contribute to technical reports, proposals, publications and presentations
Qualifications:
- Applicants must be U.S. Citizens and able to obtain a security clearance; an active TS or TS//SCI clearance is a plus
- A degree in electrical engineering, computer science, physics, applied mathematics or a related field. Positions available at all levels of academic accomplishment and industry experience.
- Strong scientific programming skills in Python, JAVA, MATLAB, and/or C++.
- Familiarity with machine learning software frameworks
- Knowledge and experience with machine learning theory and application
- Strong communication skills and the ability to describe complex concepts to fellow researchers as well as to non-technical audiences
- Publication record is a plus
STR seeks to provide an outstanding work environment for its employees with excellent benefits and competitive compensation. Full-time employees enjoy 401(k), profit sharing, health and welfare benefits, subsidies for training and conference attendance to foster continued learning and development, and a casual yet technically challenging work environment.
STR is dedicated to fostering a diverse and inclusive workforce where all employees, regardless of race, ethnicity, gender, neurodiversity, or other personal characteristics, feel valued, included, and empowered to achieve their best. We recognize that each employee’s backgrounds, experiences, and perspectives are essential for providing our customers with innovative solutions to challenging national security problems. STR’s commitment to attracting, retaining, and engaging talented and diverse professionals is demonstrated by our participation, sponsorship, and support in local and national minority organizations.
Applicants must be US Citizens.
