Apple
AIML - Sr Machine Learning Engineer, Data and ML Innovation
$150K–$278K
Cupertino, California · Senior · Full-time · Posted Jan 31, 2026
- Experience
- 5+ years of hands-on ML engineering experience, with at least 1+ years working directly on large language models or generative AI.
- Education
- Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, or a related technical field — or equivalent practical experience.
About the job
Develop and deploy large language models and agentic systems, improving model quality through training, evaluation, data, and infrastructure innovations.
What you'll do
- Design and optimize LLM pretraining and post-training pipelines, and drive model improvements through experimentation.
- Build evaluation frameworks, reward systems, and data pipelines for model and agent tasks.
- Develop agent training environments and scalable reinforcement-learning infrastructure.
What they ask for
- 5+ years of hands-on ML engineering experience, including at least 1+ years working directly on LLMs or generative AI.
- Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, or a related technical field — or equivalent practical experience.
- Hands-on experience with LLM training workflows, including pretraining or continued pretraining, SFT, or preference optimization.
- Strong software engineering fundamentals and demonstrated publication records in relevant conferences.
Nice to have
- Direct experience with agentic systems, tool use, environment design, or reinforcement learning.
- Experience building or operating training environments or simulators.
Pay
$150,400 and $277,600 (base salary)
Tools
LLMs, RLHF, DPO, PPO, SFT
AI focus
Develop and improve Apple Foundation Models, LLMs, and agentic systems through training, evaluation, reward systems, and reinforcement-learning infrastructure.
Model-written summary · the original posting is authoritative