Machine Learning and Optimization Engineer

Samsung Electronics•Austin, TX

1d•$76,000 - $174,500•Onsite

About The Position

Samsung Austin Semiconductor is looking for an advanced machine learning engineer for our growing optimization organization in support of our rapidly expanding Central Texas fab footprint. We are looking someone with significant academic and industrial exposure to machine learning as used for large scale forecasting systems. This role would involve the development of new, and refinement of existing, forecasting models that are used to optimize the plant. Many of these models will require novel first principles sub-models for feature engineering, and strong statistical skills are necessary to isolate model improvements and effects. Python skills are required for the development and deployment of the model (lower level languages may also be acceptable). Additionally, this role may also include the development of future technical roadmaps and associated technical strategies, as well as engagement in academic outreach initiatives.

Requirements

Mathematics, Statistics, Industrial Engineering, Physics, Computer Science (only with significant math and statistics exposure). Masters or above preferred, others may be considered given significant experience.
Machine Learning.
Statistics.
Stochastic Systems.
Graph Theory.
Python skills are required for the development and deployment of the model (lower level languages may also be acceptable).

Nice To Haves

Previous leadership experience or technical roadmap management preferred but not required.
Exposure to mixed integer programming is a plus.

Responsibilities

Development of (and improvement of existing) machine learning models for forecasting and optimization of line performance.
Development of first principles stochastic models for feature engineering.
Development of predictive heuristic KPIs to drive optimization strategies.
Comparative Statistical Analysis of model performance.
Technical roadmap planning.