Machine Learning/Operations Research Engineer

Socket.dev; Cupertino (CA); On-site; USD 180,000 - 280,000; Full time

Job summary

Socket.dev seeks a machine learning/operations research engineer to apply advanced mathematical modeling, statistical analysis, and optimization to solve complex manufacturing challenges. You will directly impact throughput, supply chain strategies, and cost-reduction initiatives by turning raw data into actionable decisions.

Ideal candidates hold a Master’s or PhD in OR/IE/Management Science/Applied Math with proficiency in Gurobi, CPLEX, Pyomo, PyTorch, and related tools, plus simulation

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

• Apply advanced mathematical modeling, statistical analysis, and optimization to solve manufacturing challenges.
• Impact factory throughput, supply chain strategies, and cost-reduction initiatives through data-driven decisions.
• Transform raw operational data into actionable insights for management and stakeholders.

Education

Master’s degree or PhD in Operations Research, Industrial Engineering, Management Science, Applied Mathematics, or related field

Tools

Gurobi

CPLEX

CP-SAT

Pyomo

GAMS

Arena

FlexSim

SimPy

AnyLogic

PyTorch

Scikit-learn

Kubernetes

Apache Airflow

Docker

Conductor

Ray

Job description

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.

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.