Machine Learning/Operations Research Engineer

Apple Inc.; Cupertino, Northern (CA, KY); Hybrid; USD 150,000 - 278,000; Full time

Job summary

Apple Inc. is seeking a Machine Learning/Operations Research Engineer to apply advanced optimization and modeling techniques to manufacturing challenges in Cupertino, CA. You will develop mathematical models for capacity, yield, cycle times, and Costs while building digital-twin simulations of assembly lines.

The role emphasizes data fusion, analytics, and cross-functional communication. Ideal candidates hold a Master’s or PhD in OR/IE/Applied Mathematics and are proficient with Gurobi, CPLEX,

Qualifications

• 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.

Responsibilities

• Production Optimization: Develop mathematical models for optimization of capacity, yield, cycle times, costs, throughput, and scheduling.
• Simulation Modeling: Build models for a digital twin of assembly lines to test capacity scenarios.
• Data fusion and analytics: Integrate operational data sources to generate actionable insights for manufacturing intelligence.

Skills

Operations Research

Optimization

Data analytics

Communication

Presentation skills

Education

Master’s degree or PhD in OR/IE/Applied Math

Tools

Gurobi

CPLEX

Pyomo

GAMS

Arena

FlexSim

SimPy

AnyLogic

PyTorch

Scikit-learn

Job description

Machine Learning/Operations Research Engineer

Cupertino, California, United States Machine Learning and AI

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.The people here at Apple don’t just create products — they create the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple and help us leave the world better than we found it.

Description

With the explosive growth of Apple products we are creating new opportunities for individuals to work on the most exciting new technologies at Apple. 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.

Responsibilities

• Production Optimization: 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.
• Simulation Modeling: 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.
• Data fusion and analytics: Develop and implement data fusion techniques to integrate different operational data sources and generate actionable insights for manufacturing intelligence.

Minimum Qualifications

• 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.

Preferred Qualifications

• Proven experience in GenAI application building with agents and agentic workflows. 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.

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.