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Apple Applied Scientist United States, California, Cupertino 339219631
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As an Applied Scientist in data mining and machine learning, your responsibility will be to drive your research from ideation to impact. You will work closely with manufacturing machine learning engineers around the world to understand the challenges and opportunities in the field. You’ll leverage your research experience to propose and execute on promising approaches. You will have the opportunity to collaborate with internal and academic research partners and contribute to our org’s comprehensive research strategy.
- 7+ years expertise in independently designing and implementing ML experiments — establishing appropriate metrics, benchmarks, milestones, and communicating results to stakeholders with varying levels of technical background
- Ph.D. in Machine Learning from CS or ECE
- Publication record commensurate with seniority
- Track record of successful research and interest in one or more of the following: weakly- and semi-supervised machine learning, domain adaptation, imbalanced classification and regression, tabular foundation models, etc.
- Excellent communication and presentation skills
- Demonstrable collaborative software development skills, including design review and code review
- For new-grad applicants, at least one first author publication in top machine learning / data mining conferences including ICML, NeurIPS, ICLR, KDD, CIKM, ICDM, SDM, The Web Conference, etc.
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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