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Apple Senior Machine Learning Manager United States, California, Cupertino 396322656
12.05.2025
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As a Senior Manager of our ML team, you will lead all aspects of ML architecture, technology selection, model training, fine-tuning, ablation studies, and productization. You will drive applied machine learning, using emerging technologies to solve complex mapping challenges. You will collaborate with world-class multi-functional teams, including engineers, data analysts, labelers, and validators, to develop innovative solutions. You will also play a key role in architecting a sophisticated ML-centric data platform, collaborating with some of the brightest engineering minds in the world. Your work will span a wide range of models, from large-scale datacenter grade solutions to lightweight edge solutions. By ensuring the freshest and most accurate data, your contributions will power seamless and delightful user experiences.
- 10+ years of experience applying and leading teams that apply sophisticated statistical and ML methods to analyze and process large, complex data sets.
- Experience in one or more of the following domains: Algorithms, Architecture, Artificial Intelligence, Data Mining, Deep Neural Networks, Distributed Systems, Information Retrieval, ML, NLP, and Computer Vision.
- Strong foundational understanding of mathematics behind modern machine learning, including linear algebra and statistics.
- Hands-on-experience in developing & supervising production code in Python or Java.
- Familiarity with databases, SQL, and scripting languages.
- Proven ability to translate requirements from design to implementation, both independently and within larger teams.
- Demonstrated ability to actively manage team performance and take ownership of driving outcomes.
- Master's degree or equivalent experience in AI, ML, Mathematics, Computer Science, or a related field.
- PhD degree in AI, Machine Learning, Computer Science, Mathematics
- Experience in evaluating and deploying multiple search features, including large-scale ML models, deep learning, and NLP solutions.
- Experience with geospatial data is a plus.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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