below marketmost similar roles pay hereabove market
This role pays more than
51%
of similar roles. Most pay
$192,050–$250,437
— the blue band above.
At the midpoint, this role pays about
$214k
versus about
$221k
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
3497 open roles
on FindRole.
Listed pay typically runs
$174,149–$277,600
across 2702 roles with salary data.
The Machine Learning/Operations Research Engineer joins the Machine Learning and AI team to apply advanced mathematical modeling, statistical analysis, and optimization algorithms to complex manufacturing challenges. The role involves developing mathematical models to optimize factory throughput, yield, cycle times, and supply chain metrics. Key responsibilities include building simulation models to create digital twins of assembly lines, identifying bottlenecks, and implementing data fusion techniques to generate manufacturing intelligence. The candidate must utilize solvers and modeling languages including Gurobi, CPLEX, CP-SAT, Pyomo, and GAMS, alongside simulation platforms like Arena, FlexSim, SimPy, and AnyLogic. Technical skills in PyTorch and Scikit-learn are required, with preferred experience in GenAI, LLM fine-tuning, and orchestration tools like Kubernetes, Apache Airflow, Docker, and Ray.
Large Language Models (LLMs)
Large Multimodal Models (LMMs)
PyTorch
TensorFlow
JAX
Transformers
Mixture-of-Experts (MoE)
Distributed Data Processing
Computer Vision
Natural Language Processing
Synthetic Data Generation
Production-scale Inference
Data Curation
High Performance Computing
Python
C++
PyTorch
CUDA
GPU Kernel Optimization
Distributed Training
Data Pipelines
Inference Serving
Computer Architecture
Model Deployment
Data Ingestion
Profiling
Debugging
Claude
Python
C++
PyTorch
CUDA
GPU Kernel Optimization
Distributed Training
Data Pipelines
Inference Serving
Computer Architecture
Model Deployment
Data Ingestion
Profiling
Debugging
Claude