Apple
Research Scientist/Engineer - LLM Efficiency
$185K–$325K
Santa Clara, California · Full-time · Posted Oct 12, 2026
- Education
- Preferred: BS, BS, or PhD in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field, or equivalent academic or professional experience.
About the job
Research and develop efficient frontier machine-learning models, validate them empirically, and help ship research across Apple products.
What you'll do
- Design, train, and adapt frontier models to improve efficiency and performance; conduct empirical studies.
- Build prototypes and publish or present research.
- Collaborate with Apple product teams to ship research.
What they ask for
- Significant experience building complete prototypes that achieve state-of-the-art performance in areas of expertise.
- Publication record at relevant conferences, such as NeurIPS, ICML, ICLR, and COLM.
- Experience across the ML research stack, including systems programming and algorithm development; solid software engineering skills and experience with complex systems.
- Fluency in Python; expertise in ML algorithms and deep learning practices; proficiency with PyTorch and JAX.
Nice to have
- BS, BS, or PhD in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field, or equivalent academic or professional experience.
Pay
USD $184,700 and $324,800 (base salary)
Tools
Python, PyTorch, JAX
AI focus
Research and engineering focused on improving the efficiency and performance of frontier models, including LLMs and diffusion models.
Model-written summary · the original posting is authoritative