Apple
Machine Learning Engineer, Sales Engineering
Austin, Texas · Full-time · Posted Oct 29, 2026
- Experience
- 5+ years in each of the two stated areas: developing and deploying ML solutions focused on LLMs or LMMs; and working with LLMs and transformer-based architectures.
- Education
- BS or MS in Computer Science, Machine Learning, Artificial Intelligence, or a closely related technical field, or equivalent experience.
About the job
Designs, deploys, and optimizes machine-learning and generative-AI systems for Apple’s global Channel Sales ecosystem.
What you'll do
- Build production-ready ML and generative-AI applications, pipelines, and workflows, including RAG and agentic systems.
- Fine-tune, evaluate, and optimize transformer-based models for accuracy, performance, and scale.
- Collaborate across teams to turn business needs into data-driven systems; apply MLOps practices and protect sensitive data.
What they ask for
- BS or MS in Computer Science, Machine Learning, Artificial Intelligence, or a closely related technical field, or equivalent experience.
- 5+ years developing and deploying machine-learning solutions, focused on LLMs or LMMs.
- 5+ years working with LLMs and transformer-based architectures.
Nice to have
- Experience fine-tuning and deploying LLMs/LMMs in production; proficiency in Python, PyTorch, and TensorFlow.
- Experience with Hugging Face Transformers, RAG, orchestration frameworks, distributed computing, cloud platforms, and containerization tools.
Tools
LLMs, LMMs, RAG, GPT, LLaMA, BERT, Python, PyTorch
AI focus
Builds and deploys ML, generative-AI, RAG, and agentic applications; fine-tunes and evaluates transformer models and applies MLOps.
Model-written summary · the original posting is authoritative