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Apple Senior Machine Learning Engineer Manager China, Beijing, Beijing 960003966
21.11.2024
Description
- Strong leadership, management, planning and co-ordination skills.- Proven industry experience in this or a related field. - Experience with modern machine learning algorithms including large language models. - Engage with others to find opportunities, understand requirements, and translate those requirements into technical solutions - Design data science/machine learning approach, applying tried-and-true techniques or developing custom algorithms as needed by the business problem - Collaborate with data engineers and platform architects to implement robust production real-time and batch decisioning solutions - Communicate results of analyses to business partners and executives - Research new technologies and methods across data science, data engineering, and data visualization to improve the technical capabilities of the team
Minimum Qualifications
- Experience with leading projects and co-ordinating work across a team.
- Excellent project management skills including project structuring and leading work streams interdependently.
- Detailed understanding of common machine/deep learning algorithms and practical experience in one or more of the following areas: time series forecasting, anomaly detection, convex optimization, computer vision, NLP, recommendation system and Auto ML
Preferred Qualifications
- Excellent problem solving, critical thinking, and interpersonal skills
- Proven skill of negotiating and distilling sophisticated technical requirements from multiple partners into a coherent long-term platform roadmap.
- Proven experience in implementing and training large language models
- Outstanding verbal and written communication and presentation skills, ability to convey meticulous mathematical concepts and considerations to non-experts.
- Excellent verbal and written communication skills, in both Mandarin Chinese and English
Education & Experience
- PhD. in Computer Science, Machine Learning, Statistics, Operations Research or related field; or - PhD. in Math, Engineering, Economics, or hard science with data science fellowship; or - M.S. in related field with experience applying machine learning engineer to real business problems
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