Apple
Machine Learning Engineer, Advanced Analytics
$185K–$278K
Sunnyvale, California · Full-time · Posted Sep 24, 2026
- Experience
- 5+ years of industry experience developing Machine Learning Solutions; preferred: 10+ years building and deploying production machine learning systems.
- Education
- MS in Computer Science, Machine Learning, Applied Math or a related field.
About the job
Develop and integrate scalable machine learning and generative AI solutions that address supply chain challenges such as forecasting, inventory, and logistics.
What you'll do
- Design and develop ML and GenAI models for supply chain use cases, and identify high-value opportunities.
- Integrate scalable analytics solutions into enterprise systems with engineering, data science, and application teams.
- Guide analytics data strategy and infrastructure, communicate results to stakeholders, and mentor team members.
What they ask for
- MS in Computer Science, Machine Learning, Applied Math, or a related field.
- 5+ years of industry experience developing Machine Learning Solutions.
- Hands-on experience with Python.
- Experience deploying ML solutions to production.
Nice to have
- PhD in a related field.
- 10+ years building and deploying production machine learning systems using Python, C++, TensorFlow, or PyTorch.
Pay
USD $184,700 to $277,600 base salary
Tools
Python, C++, TensorFlow, PyTorch, SQL, Spark
AI focus
Apply machine learning and GenAI to supply chain problems, including forecasting, inventory optimization, logistics planning, and enterprise-scale deployment.
Model-written summary · the original posting is authoritative