Skip to main content
Back to jobs

Machine Learning and Optimization Engineer

External
Samsung logoSamsung · 12100 Samsung Blvd, Austin
$76K–$175K/yrFull-timeOn-siteToday
ComplianceFeature EngineeringForecastingLeadershipMachine LearningPython
Cover LetterConnect

Prepare for this interview

Elite

AI-generated questions, company research, and talking points tailored to this role

Requirements

  • 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.

Benefits

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 insuranceLife insurance and 401(k) matching with immediate vestingOnsite café(s) and workout facilitiesPaid maternity and paternity leavePaid time off (PTO) + 2 personal holidays and 10 regular holidaysWellness incentives and MOREEligible 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 ComplianceThis 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 NoticeBy 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.Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here .Samsung Electronics America, Inc. and its subsidiaries are committed to Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.Dental insuranceVision insurance401(k)Paid time offPerformance bonus

Additional Information

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.

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at Samsung? Share your experience

Interested in this role?

Apply on the company's website.

Cover LetterConnect