Become a Machine Learning Research Engineer at Apple, focusing on automated ML and anomaly detection for manufacturing data applications. Take your research to the next level.

Apple's manufacturing team is looking for a dedicated Machine Learning Research Engineer to perform advanced research in anomaly detection and automated machine learning methodologies. This role involves close collaboration with engineers globally, leveraging creative research to solve complex challenges.

As part of the core R&D; team, your insights will enhance essential ML libraries that are pivotal for factory operations.

Key Responsibilities:

- Lead research initiatives from concept to execution
- Collaborate with manufacturing engineers worldwide




- Innovate on approaches to enhance research outcomes
- Contribute to defining the research strategy
- Share insights with stakeholders across technical levels

Requirements:

- Ph.D. in Machine Learning or equivalent
- Expertise in creating ML experiments and metrics
- Publication record indicative of seniority
- Collaborative skills in software design and code review
- Strong ability to communicate complex ideas clearly

Bring your expertise in machine learning research to Apple and shape the future of manufacturing technology.

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📌 Research Engineer in Machine Learning at Apple (London)
🏢 Apple
📍 London