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.
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 Analysis skills Entry level Full Job Description Summary We are seeking a 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 Plan and execute production line setup, ensuring equipment readiness for pilot and mass production. Develop and maintain SOPs, Work Instructions, and training materials for production processes. Support inspection model training and maintain the inspection accuracy to meet our quality policy Perform and document FAT/SAT (Site Acceptance Test) for new or transferred equipment. Collaborate with R D teams to integrate new processes for new products and implement to production lines. Support floor layout design and process flow optimization to improve efficiency and safety. Provide feedback to mechanical design colleagues on existing projects or design new systems with mechanical related issues. Troubleshoot mechanical, process, or equipment-related issues and drive root-cause corrective actions ensuring the yield stability and improvement. 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 0-2 years in manufacturing, process, or automation engineering Strong problem-solving and analytical skills Ability to read mechanical drawings and understand manufacturing processes
Preferred :
Bilingual in Chinese (Mandarin) is a plus Experience with LabVIEW or Nvidia software environments. Knowledge of PLC programming or industrial automation controls. Understanding of Lean Manufacturing and process validation concepts (Cpk, GR&R). Knowledge about transceivers or optical module assembly/testing 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)
