Machine Learning and Optimization Engineer

Location: 12100 Samsung Blvd, Austin, TX, USA

Remote Type: On-site

Time Type: Full time

Job Description

About Samsung Austin Semiconductor
Samsung is a world leader in advanced semiconductor technology, founded on the belief that the pursuit of excellence creates a better world. At Samsung Austin Semiconductor, we are Innovating Today to Power the Devices of Tomorrow. 

Come innovate with us!

Position Summary

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.

Role and Responsibilities

Here’s What You’ll Be Responsible For:

• 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.

Skills and Qualifications

Here's what you'll need:

• Degrees: 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.

• Previous leadership experience or technical roadmap management preferred but not required.

• Machine Learning.

• Statistics.

• Stochastic Systems.

• Graph Theory.

• Exposure to mixed integer programming is a plus.

The current base salary range for this role is between $76,000 - $174,500. Individual base pay rates will depend on factors including duties, work location, education, skills, qualifications and experience. Total compensation for this position will include a competitive benefits package and may include participation in company incentive compensation programs, which are based on factors to include organizational and individual performance.

Total Rewards
At Samsung Austin Semiconductor, base pay is just one part of our total compensation package. The base compensation for this role will depend on education, experience, skills, and location.

We offer a comprehensive benefits package, including:

• Medical, dental, and vision insurance

• Life insurance and 401(k) matching with immediate vesting

• Onsite café(s) and workout facilities

• Paid maternity and paternity leave

• Paid time off (PTO) + 2 personal holidays and 10 regular holidays

• Wellness incentives and MORE
   

Eligible full-time employees (salaried or hourly) may also receive MBO bonuses based on company, division, and individual performance.

All positions at Samsung Austin Semiconductor are full-time on-site.

U.S. Export Control Compliance
This role may require access to information subject to U.S. export control laws. Applicants must be authorized to access such information or eligible for government authorization.

Trade Secrets Notice
 By submitting an application, you agree not to disclose to Samsung—or encourage Samsung to use—any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity.

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