Horizon Pharma Plc - Pittsburgh, PA
posted 26 days ago
At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of AI technologies and systems. We currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security. As our government customers adopt AI and machine learning to provide leap-ahead mission capabilities, we build real-world, mission-scale AI capabilities through solving practical engineering problems. We discover and define the processes, practices, and tools to support operationalizing AI for robust, secure, scalable, and human-centered mission capabilities. We prepare our customers to be ready for the unique challenges of adopting, deploying, using, and maintaining AI capabilities, and we identify and investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscape. As a machine learning engineer on our team, you will build machine learning capabilities using leading-edge technologies for important and challenging government problems and needs. You will work with machine learning frameworks such as TensorFlow, PyTorch, Torch, and Caffe, and modern programming languages including Python, C/C++, and Java. You will build and work with data pipelines, ETL processes, and backend systems. You will work with, extend, and implement state-of-the-art machine learning methods. Additionally, you will experiment with modern and emerging machine learning frameworks, methods, and algorithms, exploring areas such as inverse reinforcement learning, adversarial machine learning, and custom hardware for scalable, high-performance machine learning in application domains that include computer vision, natural language processing, planning and scheduling, and robot control.