Apple
Machine Learning Scientist - Apple Services Engineering, GenAI & ML Frameworks
$185K–$325K
New York City, New York · Full-time · Posted Oct 6, 2026
- Experience
- 3+ years of relevant work experience.
- Education
- BS/MS in a quantitative field, including Computer Science, Maths, Statistics, Physics, etc.
About the job
Develop and integrate large language models and agentic systems into production features across Apple Services Engineering.
What you'll do
- Improve LLM domain knowledge, tool use, reasoning, and system integration.
- Build and optimize LLM training, agentic systems, and deployment workflows for production use.
- Lead cross-LOB initiatives with product, infrastructure, and foundation model teams.
What they ask for
- BS/MS in a quantitative field, including Computer Science, Maths, Statistics, or Physics.
- 3+ years of relevant work experience.
- Proficient programming skills in Python and hands-on experience with Jax, Tensorflow or PyTorch.
- Track record in training or deploying large models or building large-scale distributed systems; deep understanding of Deep Learning, LLMs, and Natural Language Processing.
Nice to have
- PhD in a quantitative field, including Computer Science, Maths, Statistics, or Physics.
- Experience building synthetic-data generation, evaluation, and LLM training pipeline tooling.
Pay
$184,700 and $324,800 (base salary range)
Tools
Python, Jax, Tensorflow, PyTorch
AI focus
LLM continual pretraining and post-training, preference optimization/RL, agentic systems and reinforcement learning, model evaluation, and production deployment optimization.
Model-written summary · the original posting is authoritative