Apple
Machine Learning Engineer, Search & Knowledge Quality
$142K–$278K
Santa Clara, California +1 · Full-time · Posted May 7, 2026
- Location
- Santa Clara, California
Seattle, Washington - Experience
- 3+ years of industry-related experience.
- Education
- BSc or Master’s degree in Machine Learning, Data Science, Computer Science, Information Security, Mathematics, Statistics, or a related field.
About the job
Build and deploy machine-learning and LLM features for Siri Search, including query understanding, document ranking, and answer generation.
What you'll do
- Design and implement ML models and RAG-based agentic solutions for NLP and multimodal applications.
- Integrate and own ML solutions in production systems and workflows at scale.
- Collaborate across engineering, data science, and product teams to define and deliver solutions.
What they ask for
- BSc or Master’s degree in a related field.
- 3+ years of industry-related experience.
- Programming experience with Python, C/C++, or GoLand.
- Experience with ML libraries such as TensorFlow, PyTorch, HuggingFace, AXLearn, and Scikit-learn; familiarity with production ML integration, CI/CD workflows, and ML pipelines.
Nice to have
- Ph.D. in a related field.
- Experience with LLM fine-tuning, neural network optimization, RL, or rigorous LLM benchmarking.
Pay
$142,300 and $263,300 USD (base salary); $150,400 and $277,600 USD (base salary)
Tools
Python, C/C++, GoLand, TensorFlow, PyTorch, HuggingFace, AXLearn, Scikit-learn
AI focus
Apply LLM and ML techniques to query and intent understanding, information retrieval, document ranking, contextual answer generation, and RAG-based agentic NLP and multimodal solutions.
Model-written summary · the original posting is authoritative