A Machine Learning Engineer specializes in designing, building, and deploying machine learning models. They utilize statistical and mathematical techniques, parallelizing processing, hyperparameter tuning, and other optimization methodologies to improve model performance. Responsibilities also include collecting and preprocessing large datasets, conducting exploratory data analysis, working closely with data engineers to understand data requirements, and engineer input variables for machine learning models.
Sr. Production Engineer - ML/Inspection Applied Optoelectronics, Inc. - 3.1 Sugar Land, TX Job Details Full-time 4 hours ago Benefits Relocation assistance Health insurance Dental insurance Paid time off Vision insurance 401(k) matching Qualifications Computer science Mid-level Communication skills Full Job Description Summary We are seeking a Senior Production Engineer - Machine Learning/Inspection to support new production line setups and equipment qualifications to maintain the production line quality. In this role, you will work on configuring, testing, and validating automated machinery and processes to ensure smooth ramp-up and readiness for mass production. The ideal candidate is hands-on, detail-oriented, and passionate about combining mechanical design with automation solutions. Job Duties Lead new production line setup, configuration, and validation activities for NPI and mass production. Own and execute SAT (Site Acceptance Test) with vendors, ensuring all machines meet performance, safety, and reliability standards. Design and optimize production floor layouts to improve flow and equipment utilization Provide technical guidance to junior engineers and technicians during commissioning and troubleshooting Support floor layout design and process flow optimization to improve efficiency and safety. Perform reports to management on a weekly basis on the progress of projects status Lead root-cause analysis and conitinous improvement efforts during ramp-up or yield challengs Support equipment commissioning, maintenance, and calibration activities. 5 ~ 10% international travel is expected for supplier visits, equipment qualification, or line setup. Overtime may be required during ramp-up or line setup activities.
Qualifications Required :
Bachelor's degree in Mechanical, Industrial, Manufacturing Engineering, or Computer Science 2-5 years in manufacturing, process, or automation engineering Proven track record in SAT execution, process validation, and production readiness Strong leadership, communication, and cross functional collaboration skills
Preferred :
Bilingual in Chinese (Mandarin) is a plus Experience with LabVIEW or Nvidia software environments. Knowledge of PLC programming or industrial automation controls. Knowledge of Lean Manufacturing and process validation concepts (Cpk, GR&R). Knowledge about transceivers or optical module assembly/testing is a plus Location This position will be on-site based in Sugar Land, Texas. WHY AOI? In addition to competitive salary, AOI offers Flexible and competitive health (medical, dental, vision) plans offer the employee with the right options to meet individual and family needs Employer matching on 401(k) deferrals Generous PTO policy, with unused PTO payout at end of the year Relocation package available within US Immigration sponsorships (Must be currently authorized to work in the US)
