Contribute as a Research Engineer in Machine Learning with Apple’s Product Operations team, focusing on anomaly detection and automated processes in manufacturing environments. Elevate manufacturing capabilities using your expertise in multi-modal data analysis.

This position offers a unique chance to work on cutting-edge ML technologies and advance Apple’s production processes. You will conduct important research, translating findings into practical solutions that underpin core manufacturing functions.

Collaboration with ML software engineers and training responsibilities will amplify your impact within the team.

Key Responsibilities:

- Conduct research in anomaly detection methods
- Design metrics and benchmarks for ML experiments




- Collaborate with software engineers on production integration
- Foster research partnerships across various academic institutions
- Deliver presentations of research results to stakeholders

Requirements:

- Ph.D. in Machine Learning or closely related area
- Proven capability in designing ML experiments
- Publication record in leading machine learning conferences
- Excellent verbal and written communication
- Strong skills in collaborative software development

Engage in meaningful research at Apple and drive advancements in the manufacturing sector.

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📌 Research Engineer in Machine Learning at Apple (Toronto)
🏢 Socket.dev
📍 Toronto