Research Scientist/Engineer - Special Projects
Apple - Santa Clara, United States of America
Posted Nov 12, 2025
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
- Not verified last checked Jun 13, 2026
- Salary
- Not verified not verified - source not recorded; timestamp not recorded
- 401(k) match
- Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Research Scientist/Engineer - Special Projects Santa Clara, United States of America We're seeking research scientists and engineers to create breakthrough innovations in machine learning. We are particularly interested in frontier models (LLMs and diffusion models) as well as the interface of AI and science. You will work in an organization of world-class machine learning researchers and engineers. Our work powers cutting-edge technologies across the Apple ecosystem and is published in the most selective scientific journals and conferences. We are a team of best-in-the-world research scientists and engineers with deep experience in machine learning. We work on exciting new technologies that bring joy to millions of people. In our daily work, the team stays innovative, productive, and fun by sharing some key values: Passion for the mission: We're here to make something extraordinary. We seek whatever work is right and strive for the best possible results. Modesty: The right answer is more significant than being right. We search for solutions as a team and value clear-eyed feedback. Lean habits: You can't grow without limits. Time constraints and big goals encourage us to sharpen our focus and learn to make phenomenal decisions. Minimum Qualifications: Publication record in relevant conferences (eg. NeurIPS, ICML, ICLR, COLM) and scientific journals (Nature, Science, PNAS). Significant experience building complete prototypes that achieve state-of-the-art performance in your areas of expertise. Comfortable across the entire ML research stack, from low-level system programming to high-level algorithm development. Solid software engineering skills in complex systems. Fluency in Python. Expertise in ML
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