We are seeking a highly motivated and experienced Senior 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. The Senior 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
• 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
• Design and implement neural network architectures, including transformer-based architectures and autoencoders
• 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
• Stay up-to-date with the latest advancements in machine learning and artificial intelligence, and contribute to the development of novel algorithms and 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
• Refactor and optimize existing software for improved performance and scalability. 

Who You Are:

This position requires an active TS/SCI security clearance, for which U.S. citizenship is needed by U.S. Government.

• BS, MS, or PhD in Computer Science, EE, Physics, Mathematics, or a related field (0-5+ years relevant experience depending on 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
• Usage 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