AIML - Sr Machine Learning Engineer, Data and ML Innovation
Core
Design and implement large-scale LLM pretraining and post-training pipelines, drive model hillclimbing through experimentation, and build agent environments for Apple Foundation Models.
Role type
Senior IC machine learning engineer (LLM & agentic systems)
Builds
Large language models, agentic systems, training pipelines, and evaluation frameworks for Apple products
Domain
Generative AI, Foundation Models, Reinforcement Learning
Deliverable
production ML models
Required skills
LLM training workflows (pretraining, SFT, RLHF/DPO/PPO), distributed training frameworks, dataset curation, hyperparameter tuning, evaluation framework design, agent environment design, software engineering fundamentals, publication record in top ML conferences
Preferred skills
Agentic systems experience, tool use, reinforcement learning, building training environments/simulators, model hillclimbing workflows, cross-functional collaboration
Technologies
LLM frameworks, distributed training frameworks, RL infrastructure, containerized environments
