Join Apple's Product Operations team as a Machine Learning Research Engineer focused on anomaly detection and automated ML. Contribute to enhancing manufacturing capabilities through innovative research and collaboration. In this role, you will be a core member of the machine learning team dedicated to developing solutions for manufacturing challenges using multi-modal data.

Your expertise in designing and implementing ML experiments will guide research from ideation to validation. You will also collaborate closely with ML software engineers to refine production-ready applications and train other machine learning engineers for factory contexts. Key Responsibilities:

- Conduct research in anomaly detection and automated machine learning




- Design and implement ML experiments with clear metrics
- Support code translation efforts for production deployment
- Collaborate with academia and Apple's research organization
- Communicate findings clearly to various stakeholders Requirements:
- Ph.D. in Machine Learning or related field
- Proven track record in ML experiments
- Robust publication record in relevant conferences
- Excellent communication and presentation skills
- Collaborative software development experience Drive research and innovation in machine learning while contributing to Apple's manufacturing excellence.

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