Apple
AIML - Senior Machine Learning Research Engineer, LLM Post-training (Multilinguality)
$185K–$325K
New York City, New York · Senior · Full-time · Posted Sep 1, 2026
- Experience
- 4+ years in machine learning and NLP focused on LLMs, post-training, or reinforcement learning.
- Education
- Master’s/PhD, or equivalent practical experience, in Computer Science, Machine Learning, or a related technical field.
About the job
Develop and post-train multilingual large language models for Apple products, improving assistant capabilities, language coverage, and real-world performance.
What you'll do
- Translate product needs into model capabilities and improve training-stage loss patterns.
- Develop multilingual data strategies using human and synthetic data, filtering, and curriculum learning.
- Design end-to-end post-training strategies and evaluations for model behavior, helpfulness, factuality, and utility.
What they ask for
- 4+ years of machine learning and NLP experience focused on LLMs, post-training, or reinforcement learning, with a strong record of accomplishments.
- Proficiency in Python and a major deep learning framework such as JAX or PyTorch.
- Master’s/PhD, or equivalent practical experience, in Computer Science, Machine Learning, or a related technical field.
Nice to have
- Experience developing natively multilingual LLMs and training large models at scale.
- Experience deploying large-scale user-facing LLM or machine translation systems.
Pay
USD $184,700 to $324,800 base salary
Tools
Python, JAX, PyTorch, Bash, Java, C, C++
AI focus
LLM post-training and multilingual model research, including instruction following, tool use, reasoning, synthetic-data generation, and evaluation.
Model-written summary · the original posting is authoritative