Machine Learning/Operations Research Engineer

Apple • Cupertino, CA

3d

About The Position

We are seeking a machine learning/operations research engineer to apply advanced mathematical modeling, statistical analysis, and optimization algorithms to solve complex manufacturing challenges. Machine learning/operations research engineers on our team directly impact our factory throughput, supply chain strategies, and cost-reduction initiatives by transforming raw operational data into actionable, data-driven decisions.

Requirements

• Master’s degree or PhD in Operations Research, Industrial Engineering, Management Science, Applied Mathematics, or related field.
• Proficiency with solvers and modeling languages such as Gurobi, CPLEX, CP-SAT, Pyomo, and GAMS.
• Hands-on experience with simulation platforms like Arena, FlexSim, SimPy, and AnyLogic.
• Experience with machine learning platforms such as PyTorch and Scikit-learn.
• Excellent communication and presentation skills; ability to explain complex statistical and mathematical theories to non-technical stakeholders in simple, universal language.
• Proven experience in GenAI application building with agents and agentic workflows.

Nice To Haves

• Experience with LLM and LMM development and fine-tuning is a major plus.
• Proficiency in using cutting-edge GenAI tools, i.e. Claude Code, Roo Code, etc.
• Familiarity with distributed computing, cloud infrastructure, and orchestration tools, such as Kubernetes, Apache Airflow (DAG), Docker, Conductor, Ray for LLM training and inference at scale is a plus.

Responsibilities

• Develop and implement mathematical models for optimization of capacity, yield, cycle times, costs, throughput, shop-floor layout usage, dynamic scheduling, and other factory and supply chain metrics.
• Build and maintain mathematical models for simulation to act as a \"digital twin\" of our assembly lines, identifying bottlenecks and testing \"what-if\" capacity scenarios.
• Develop and implement data fusion techniques to integrate different operational data sources and generate actionable insights for manufacturing intelligence.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior