Senior Machine Learning Engineer

Develop machine learning solutions for wireless communication systems at Motorola Solutions' subsidiary Silvus Technologies. Work on enhancing MANET radios with AI, collaborating with a team to integrate ML algorithms across edge and data center scales.

• Manage inputs from software defined radio captures over a wide range of RF signals. Combine signal processing, probability, statistics, and ML to build large-scale, high-throughput systems. Collaborate with UX designers, infrastructure engineers, and research scientists to develop prototypes and integrate ML algorithms.

• 6+ years experience as a machine learning engineer. Expert knowledge in Python and PyTorch or TensorFlow. Strong foundation in supervised/unsupervised learning and statistical modeling. Strong mathematics background in linear algebra and probability. Strong written and oral communication skills.

• Advanced degree in electrical and computer engineering, physics, mathematics, or statistics. Familiarity with relational and NoSQL databases. Familiarity with RF signal processing and SDR for signals intelligence or electronic warfare. Familiarity with Azure and/or AWS. Experience with Jira, Azure DevOps, Linux, DevOps, Docker, Kubernetes. Familiarity with regulated environments.