Frontier ML Research Scientist/Engineer (Agentic AI)

Apple, Inc.; Santa Clara (CA); On-site; USD 185,000 - 325,000; Full time

Benefits offered by this job

Medical and dental coverage

Employee stock programs

Job summary

Apple, Inc. in Santa Clara, California, is seeking Research Scientist/Engineer to push frontier models and agentic workflows across language, vision, robotics, and reinforcement learning. You will work with world-class researchers and engineers to develop breakthrough AI technologies powering the Apple ecosystem.

Join a team that values curiosity, collaboration, and rigorous experimentation. This role invites you to prototype, evaluate, and scale advanced ML systems, delivering impactful,

Qualifications

• Significant experience building complete prototypes that achieve state-of-the-art performance in your areas of expertise.
• Solid software engineering skills in complex, multi-language systems. Fluency in Python.
• Expertise in ML algorithms and top practices for working with deep learning systems.
• Proficiency with ML modeling frameworks (PyTorch, Tensorflow, etc.).

Responsibilities

• 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.

Skills

Python

ML algorithms

Deep learning

PyTorch

TensorFlow

Education

BS/MS/PhD in CS/EE

Job description

Apple, Inc. in Santa Clara, California, is seeking Research Scientist/Engineer to push frontier models and agentic workflows across language, vision, robotics, and reinforcement learning. You will work with world-class researchers and engineers to develop breakthrough AI technologies powering the Apple ecosystem.

Join a team that values curiosity, collaboration, and rigorous experimentation. This role invites you to prototype, evaluate, and scale advanced ML systems, delivering impactful,