100% onsite - Columbia, MDWe are seeking a highly skilled and hands-on Senior Staff Engineer to lead development efforts in AI, MLOps, and signal processing, with a strong emphasis on deploying intelligent systems on microcontrollers and working directly with customer data.  This role demands not only proficiency in machine learning frameworks but also a deep understanding of the underlying algorithms and their practical application to real-world sensor data.  The ideal candidate will also bring extensive experience in software production development, including CI/CD pipelines, GitHub workflows, and rigorous testing practices.Key Responsibilities:Architect, develop, and maintain scalable ML product codebases with production-grade quality.Lead MLOps strategy including model deployment, monitoring, and lifecycle management.Apply advanced signal processing techniques to one-dimensional sensor data (e.g., audio, motor control, accelerometers).Collaborate with customers to ingest, debug, and analyze their data for model development and validation.Design and implement machine learning models tailored to time-series and sensor data, with a strong grasp of algorithmic foundations (e.g., SVM, decision trees, neural networks, reinforcement learning).Optimize and deploy ML models on microcontrollers (MCUs) and embedded platofrms.Develop smaller, faster models suitable for edge deployment.Implement and maintain CI/CD pipelines, GitHub workflows, and automated testing frameworks.Write and maintain unit tests, integration tests, and documentation to ensure code quality and reliability.Assemble hardware setups (e.g., sensor arrays, embedded boards) and collect data from real-world environments to support model development and validation.Mentor junior engineers and contribute to technical leadership across teams.Stay current with emerging technologies in AI, embedded ML, and signal processing.
