STR
Overview
STR’s Intelligence Division researches, develops, and transitions advanced analytics and machine learning-based solutions to solve challenging problems related to national security. Our team consists of engineers with advanced degrees in engineering, computer science, mathematics, and data science, who use deep technical knowledge and creativity to tackle complex problems for government customers. Our projects span multiple 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, operating under 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. The Role
We are seeking a highly motivated and experienced Lead Machine Learning Scientist to join our dynamic team. The ideal candidate will have a strong background in machine learning, deep learning, and a proven track record in developing innovative solutions for complex problems. This role requires a deep understanding of mathematical concepts, proficiency in programming languages such as Python, and experience in leading research projects. Lead Machine Learning Scientist will work closely with cross-functional teams to design, develop, and implement machine learning models that drive impactful results in various national security related domains. What you will do
Lead the development of machine learning and deep learning algorithms for large-scale multimodal data fusion problems Deep understanding of Generative AI (GenAI) models and reinforcement learning models to address specific business challenges Lead a team of research scientists and software engineers, guiding project direction and ensuring successful project delivery Collaborate with other research scientists, software engineers, and mission partners to create robust solutions that leverage state-of-the-art deep learning and advanced data analysis techniques Work with large data sets in a parallel computing environment, utilizing tools such as AWS services (EC2, S3, etc.) for data storage and processing Stay up-to-date with the latest advancements in machine learning and artificial intelligence, and contribute to the development of novel algorithms and techniques Design and implement neural network architectures, including transformer-based architectures and autoencoders Refactor and optimize existing software for improved performance and scalability Who you are
Active Top Secret security clearance for which U.S. citizenship is needed by U.S. Government PhD, MS, or BS in Computer Science, Electrical Engineering, Physics, Mathematics, or a related field with 5-10+ years of relevant experience depending on your degree Proven experience in developing bespoke machine learning algorithms, particularly in high-dimensional multivariate complex-valued functions Strong proficiency in Python, with expertise in libraries such as PyTorch, TensorFlow Experience with cloud computing platforms, preferably AWS Experience in database management, including SQL and NoSQL databases Excellent understanding of mathematical concepts, including linear algebra, graph theory, and algebraic geometry Knowledge of DevOps practices and CI/CD pipelines STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can’t do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at www.str.us for more info. 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. If you need a reasonable accommodation for any portion of the employment process, email us at appassist@str.us and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws. Voluntary Self-Identification
For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary and will not be considered in hiring decisions. Any information you provide will be confidential. If you want to learn more about the law or this form, visit the U.S. Department of Labor’s OFCCP website. As set forth in STR’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. Disability categories may include, but are not limited to the disabilities listed in the form. This section is provided for federal compliance purposes. PUBLIC BURDEN STATEMENT: According to the Paperwork Reduction Act of 1995 no persons are required to respond to a collection of information unless such collection displays a valid OMB control number. This survey should take about 5 minutes to complete.
#J-18808-Ljbffr
STR’s Intelligence Division researches, develops, and transitions advanced analytics and machine learning-based solutions to solve challenging problems related to national security. Our team consists of engineers with advanced degrees in engineering, computer science, mathematics, and data science, who use deep technical knowledge and creativity to tackle complex problems for government customers. Our projects span multiple 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, operating under 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. The Role
We are seeking a highly motivated and experienced Lead Machine Learning Scientist to join our dynamic team. The ideal candidate will have a strong background in machine learning, deep learning, and a proven track record in developing innovative solutions for complex problems. This role requires a deep understanding of mathematical concepts, proficiency in programming languages such as Python, and experience in leading research projects. Lead Machine Learning Scientist will work closely with cross-functional teams to design, develop, and implement machine learning models that drive impactful results in various national security related domains. What you will do
Lead the development of machine learning and deep learning algorithms for large-scale multimodal data fusion problems Deep understanding of Generative AI (GenAI) models and reinforcement learning models to address specific business challenges Lead a team of research scientists and software engineers, guiding project direction and ensuring successful project delivery Collaborate with other research scientists, software engineers, and mission partners to create robust solutions that leverage state-of-the-art deep learning and advanced data analysis techniques Work with large data sets in a parallel computing environment, utilizing tools such as AWS services (EC2, S3, etc.) for data storage and processing Stay up-to-date with the latest advancements in machine learning and artificial intelligence, and contribute to the development of novel algorithms and techniques Design and implement neural network architectures, including transformer-based architectures and autoencoders Refactor and optimize existing software for improved performance and scalability Who you are
Active Top Secret security clearance for which U.S. citizenship is needed by U.S. Government PhD, MS, or BS in Computer Science, Electrical Engineering, Physics, Mathematics, or a related field with 5-10+ years of relevant experience depending on your degree Proven experience in developing bespoke machine learning algorithms, particularly in high-dimensional multivariate complex-valued functions Strong proficiency in Python, with expertise in libraries such as PyTorch, TensorFlow Experience with cloud computing platforms, preferably AWS Experience in database management, including SQL and NoSQL databases Excellent understanding of mathematical concepts, including linear algebra, graph theory, and algebraic geometry Knowledge of DevOps practices and CI/CD pipelines STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can’t do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at www.str.us for more info. 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. If you need a reasonable accommodation for any portion of the employment process, email us at appassist@str.us and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws. Voluntary Self-Identification
For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary and will not be considered in hiring decisions. Any information you provide will be confidential. If you want to learn more about the law or this form, visit the U.S. Department of Labor’s OFCCP website. As set forth in STR’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. Disability categories may include, but are not limited to the disabilities listed in the form. This section is provided for federal compliance purposes. PUBLIC BURDEN STATEMENT: According to the Paperwork Reduction Act of 1995 no persons are required to respond to a collection of information unless such collection displays a valid OMB control number. This survey should take about 5 minutes to complete.
#J-18808-Ljbffr