Manager, Machine Learning Engineering

We are seeking an experienced and motivated Machine Learning Engineering Manager to lead a specialized team of ML and MLOps Engineers. The ideal candidate combines technical expertise in AI with strong leadership skills to drive engineering excellence and deliver high-quality ML systems aligned with business objectives. You will be responsible for executing the technical vision for critical AI-driven manufacturing applications at Apple, leading the team responsible for building, deploying, and scaling them. You possess the strategic foresight to anticipate challenges without over-engineering solutions and can articulate clear, simple approaches to complex algorithmic problems. Minimum Qualifications 8+ years of experience in Software Engineering, Data Science, or Machine Learning, including 3+ years in a leadership role. Proven track record of leading teams to deliver scalable, high-quality Machine Learning models into production environments. Experience building and managing technical teams with a mix of algorithmic and infrastructure expertise. Experience leading effective development processes to deliver high-quality production code. Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Statistics, or a related field. Preferred Qualifications Experience with MLOps frameworks (e.g., Kubeflow, MLflow) and containerization (Docker, Kubernetes). Experience scaling ML systems with large datasets (Computer Vision or Time-Series). Experience deploying models to Edge devices (Industrial PCs, Gateways) or mobile devices (CoreML). Experience with cloud platforms (e.g., AWS) and DevOps practices. Proficiency in Python, PyTorch/TensorFlow, SQL, and Linux. Knowledge of Agile/Scrum software development methodologies. Exposure to Manufacturing, Industrial IoT, or Smart Manufacturing environments is a plus.