Join Apple’s Product Operations team as a Machine Learning Research Engineer, driving cutting-edge research in anomaly detection. Tackle challenges in multi-modal data to enhance manufacturing capabilities. In this pivotal role, you will lead research from concept to impact, collaborating closely with global machine learning engineers.

Your expertise in machine learning experimentation will guide the integration of robust solutions into production code. With a focus on domain-specific challenges, you’ll work alongside academic partners to advance our team's research strategy. Key Responsibilities:
Conduct research in anomaly detection and automated machine learning
Drive projects from ideation through validation




Collaborate with manufacturing ML engineers globally
Integrate successful research into training models
Support and train Machine Learning Engineers in applied research Requirements:
Ph.D. in Machine Learning or related field
Expertise in implementing ML experiments and metrics
Robust publication record in relevant conferences
Excellent communication and collaboration skills
Ability to write production-quality code Contribute to Apple’s transformative ML capabilities and collaborate on impactful research solutions.

📌 Machine Learning Research Engineer At Apple Toronto
🏢 Omaze
📍 Toronto