This role pays less than
52%
of similar roles. Most pay
$189,462–$254,750
— the shaded band above.
At the midpoint, this role pays about
$214k
versus about
$222k
for comparable roles.
Based on 240 similar postings.
Employer
About Apple Inc
Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software
Apple Inc currently has
1984 open roles
on FindRole.
Listed pay typically runs
$175,000–$277,600
across 1590 roles with salary data.
The Machine Learning/Operations Research Engineer joins the team to apply advanced mathematical modeling, statistical analysis, and optimization algorithms to solve complex manufacturing challenges. This role focuses on production optimization by developing models for capacity, yield, cycle times, and shop-floor layout usage while building simulation models to act as digital twins of assembly lines. The engineer will also perform data fusion to integrate operational sources into actionable insights. Required technical skills include proficiency with solvers like Gurobi, CPLEX, CP-SAT, Pyomo, and GAMS; experience with simulation platforms such as Arena, FlexSim, SimPy, and AnyLogic; and machine learning tools including PyTorch and Scikit-learn. Preferred qualifications involve GenAI agentic workflows, LLM fine-tuning, and infrastructure tools like Kubernetes, Apache Airflow, Docker, and Ray to address manufacturing intelligence and supply chain strategies.
LLM
PyTorch
TensorFlow
JAX
Transformers
MoE
Computer Vision
Natural Language Processing
Distributed Data Processing
Machine Learning
Deep Learning
OCR
Synthetic Data Generation
Data Curation
High Performance Computing
Machine Learning
Operations Research
Python
SQL
Pandas
scikit-learn
XGBoost
Keras
TensorFlow
Deep Learning
Combinatorial Optimization
Mathematical Programming
Data Manipulation
Algorithms