This role pays more than
84%
of similar roles. Most pay
$192,987–$254,750
— the shaded band above.
At the midpoint, this role pays about
$255k
versus about
$224k
for comparable roles.
Based on 240 similar postings.
Employer
About Apple Inc
Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software
Apple Inc currently has
1984 open roles
on FindRole.
Listed pay typically runs
$175,000–$277,600
across 1590 roles with salary data.
Machine Learning Scientist - Apple Services Engineering, GenAI & ML Frameworks joins the GenAI & ML Frameworks team to bridge foundation model capabilities with real-world production systems. This role involves end-to-end development across LLM training, including domain-adaptive continual pretraining, post-training, and preference optimization using GRPO-style methods. The candidate will build agentic systems featuring tool schemas and multi-turn reliability while performing deployment-aware optimizations for latency, cost, and reliability. Key responsibilities include developing tools for synthetic data generation, evaluation harnesses, and training pipelines to improve LLM domain knowledge and reasoning. Required skills include proficiency in Python and deep learning toolkits such as Jax, TensorFlow, or PyTorch. The role focuses on the technical challenge of integrating large language models into user-facing features by solving problems related to system integration and production readiness across various cross-LOB initiatives.
LLM
Multi-modal LLM
Python
PyTorch
JAX
TensorFlow
Deep Learning
Synthetic Data
Reward Modeling
Preference Learning
Data Pipelines
Agentic Systems
Data-centric AI
Pre-training
Post-training