Drive innovation in manufacturing as a Machine Learning Research Engineer with Apple. Focus on anomaly detection and automated ML to enhance multi-modal data applications. Apple's Product Operations machine learning team is seeking a talented engineer to conduct research in anomaly detection within manufacturing contexts.

You'll collaborate closely with global engineers, leveraging your expertise to propose impactful solutions. This role is central to the R&D; efforts, enhancing ML libraries for factory deployment, and working with academic partners to drive key initiatives. Key Responsibilities:
Drive research from ideation to practical applications
Collaborate with manufacturing ML engineers globally




Propose and execute creative ML approaches
Contribute to research strategy with academic partners
Communicate research results to diverse stakeholders

Requirements:
Ph.D. in Machine Learning or related field
Expertise in designing and implementing ML experiments
Proven publication record in relevant fields
Solid collaboration and software development skills
Excellent communication and presentation abilities

Utilize your research expertise in machine learning to elevate Apple's manufacturing capabilities.

📌 Machine Learning Research Engineer At Apple Ontario
🏢 Apple
📍 Ontario