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Machine Learning Engineer

Cupertino, United States of America💼 Full-time🗓 2026-09-18 → 2026-09-28

Core

Apply advanced mathematical modeling, statistical analysis, and optimization algorithms to solve complex manufacturing challenges, directly impacting factory throughput, supply chain strategies, and cost-reduction initiatives.

Role type

Machine Learning/Operations Research Engineer (Manufacturing Optimization)

Builds

Mathematical models for capacity, yield, cycle times, and cost optimization; simulation models acting as digital twins of assembly lines.

Domain

Manufacturing / Operations Research / Supply Chain

Deliverable

production ML models

Required skills

Mathematical modeling, statistical analysis, optimization algorithms, simulation modeling, data fusion, machine learning

Preferred skills

GenAI application building, LLM/LMM development and fine-tuning, distributed computing, cloud infrastructure orchestration

Technologies

Gurobi, CPLEX, CP-SAT, Pyomo, GAMS, Arena, FlexSim, SimPy, AnyLogic, PyTorch, Scikit-learn, Kubernetes, Apache Airflow, Docker, Conductor, Ray

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