Position Summary A leading applied technology organization focused on advanced manufacturing and automation is seeking a Machine Learning Engineer (Computer Vision & Robotics) to develop and deploy AI-driven solutions in industrial environments. This role focuses on building machine learning models, developing computer vision systems, and integrating AI into robotics, automation systems, and digital manufacturing workflows. The position collaborates with cross-functional engineering teams and external stakeholders to support smart factory and Industry 4.0 initiatives. Key Responsibilities • Develop, train, and optimize machine learning and deep learning models for applications such as computer vision, predictive maintenance, anomaly detection, and process optimization • Build and deploy neural networks using frameworks such as PyTorch, TensorFlow, Keras, or scikit-learn • Collect, clean, and process data from sensors, robotics systems, PLCs, and industrial equipment • Develop scalable data pipelines for model training and real-time inference • Integrate AI/ML models into robotics systems, automation workflows, and digital twin environments • Deploy models to edge devices (e.g., industrial PCs, embedded systems) • Develop Python-based tools, APIs, and microservices to support AI workflows • Implement MLOps practices including version control, testing, monitoring, and model lifecycle management • Support cloud-based machine learning workflows (AWS, Azure, or similar platforms) • Conduct experiments, analyze results, and translate findings into production-ready solutions • Prepare technical documentation, reports, and presentations • Collaborate with internal teams and external stakeholders on applied AI initiatives • Ensure adherence to safety and operational protocols • Perform additional duties as assigned Education • Bachelor’s degree in Computer Science, Data Science, Robotics, Electrical Engineering, or a related field (or equivalent experience) Required Qualifications • 4+ years of experience developing machine learning or deep learning applications in industry or research • Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn) • Experience with computer vision, image processing, or sensor data analysis • Experience building, evaluating, and optimizing machine learning models • Familiarity with data pipelines, deployment workflows, or MLOps practices • Strong foundation in mathematics (linear algebra, probability, statistics) • Strong communication and technical documentation skills • U.S. citizenship required to meet regulatory compliance requirements Preferred Qualifications • Advanced degree in AI, Machine Learning, Robotics, or related field • Experience with robotics, automation, or manufacturing systems • Familiarity with digital twins or simulation environments • Experience deploying models to edge devices (e.g., NVIDIA Jetson) • Knowledge of industrial communication protocols (OPC UA, MQTT, REST APIs) • Experience with cloud ML platforms (AWS, Azure, GCP) • Experience with industrial vision systems, sensors, or 3D imaging • Experience in customer-facing or applied engineering environments Work Environment This is a full-time role in office and lab environments, with occasional interaction in industrial or production settings. The role involves extended computer-based work and collaboration with cross-functional teams. Position Details • Reports to: Engineering Leadership • Employment Type: Full-Time, Exempt • Travel: Limited • Compensation: $105,000 – $120,000 (based on experience) Equal Opportunity Statement This employer is committed to providing equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, national origin, disability status, veteran status, or any other protected characteristic under applicable law.