Intern, Machine Learning - Semiconductor Laser Manufacturing (Summer 2026)

Job SummaryWe are seeking a highly motivated Machine Learning Intern to join our Semiconductor Laser Engineering team for Summer 2026. In this role, you will apply machine learning techniques to improve semiconductor laser manufacturing yield, optimize diode laser screening methods and inverse engineer for better performance. You will work closely with process engineers, device engineers, and data scientists to develop models that enhance process control and product performance prediction in a high-volume manufacturing environment.Primary Duties & ResponsibilitiesAnalyze large-scale manufacturing and test datasets to identify yield drivers and performance trends in semiconductor laser productionDevelop and evaluate machine learning models to:Predict device performance and reliabilityIdentify root causes of yield lossImprove wafer-level and die-level screening strategiesDesign data preprocessing and feature engineering pipelines for manufacturing and parametric test dataApply statistical analysis and ML techniques (e.g., regression, classification, clustering, anomaly detection) to optimize diode laser screening thresholdsCollaborate with device, process, and test engineers to translate model insights into actionable manufacturing improvementsValidate model performance using historical production data and controlled experimentsPresent findings, technical insights, and recommendations to engineering leadershipDeliver a final technical report and presentation summarizing methodology, results, and potential production implementation roadmapEducation & ExperienceEducation Level Required: Bachelor's / Master's / PhDMajors: Computer Science, Electrical Engineering, Applied Physics, Materials Science, Data Science, Statistics, Applied Mathematics, or related technical disciplineRelevant coursework or extracurricular experience in machine learning, statistics, data analytics, semiconductor devices, solid-state physics, or manufacturing process analysis is a plus.Experience with programming (Python preferred), data analysis, and machine learning frameworks through coursework, research projects, or internships is highly desirable.Open to currently enrolled students or those who have graduated within one year of the internship start date.Skills & Other RequirementsStrong programming skills in Python (NumPy, Pandas, scikit-learn, PyTorch or TensorFlow preferred)Understanding of machine learning fundamentals (supervised and unsupervised learning)Familiarity with statistical methods and experimental designExperience with data visualization tools (Matplotlib, Seaborn, etc.)Ability to work with large datasets and perform feature engineeringExcellent written and verbal communication skillsTeam-oriented but capable of independent technical workAttention to detail in data analysis and model validationPreferred but not required:Experience with semiconductor test data or manufacturing datasetsKnowledge of DOE (Design of Experiments), SPC, or yield analysisFamiliarity with SQL or manufacturing database systemsAdditional Information* Internship Duration: 10 - 14 weeks.* At Coherent, interns are valued members of our team and have the opportunity to make meaningful contributions from day one. In addition to hands-on project experience, our internship program includes opportunities to connect with fellow interns and colleagues across the organization through virtual and in-person networking events, team-building activities and more. Interns are expected to actively participate in these events as part of their professional development and to fully immerse themselves in our collaborative and innovative culture.Working Conditions* This role will be based on-site in Fremont, CA.* Regular use of a computer and other office equipment is necessary.Physical RequirementsSitting for extended periods while working on a computer or in meetings.Use of hands and fingers for typing, writing, and handling documents.Occasional lifting of objects or materials up to 20 pounds for administrative tasks.Ability to communicate verbally and in writing.Safety RequirementsAll employees are required to follow the site EHS procedures and Coherent Corp. EHS standards.Quality & Environmental ResponsibilitiesDepending on location, this position may be responsible for the execution and maintenance of the ISO 9000, 9001, 14001 and/or other applicable standards that may apply to the relevant roles and responsibilities within the Quality Management System and Environmental Management System.Culture CommitmentEnsure adherence to company's values (ICARE) in all aspects of your position at Coherent Corp.:Integrity - Create an Environment of TrustCollaboration - Innovate Through the Sharing of IdeasAccountability - Own the Process and the OutcomeRespect - Recognize the Value in EveryoneEnthusiasm - Find a Sense of Purpose in WorkCoherent Corp. is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.If you need assistance or an accommodation due to a disability, you may contact us at talentacquisition@coherent.com.ABOUT USCoherent is a global leader in lasers, engineered materials and networking components. We are a vertically integrated manufacturing company that develops innovative products for diversified applications in the industrial, optical communications, military, life sciences, semiconductor equipment, and consumer markets. Coherent provides a comprehensive career development platform within an environment that challenges employees to perform at their best, while rewarding excellence and hard-work through a competitive compensation program. It's an exciting opportunity to work for a company that offers stability, longevity and growth. Come Join Us!Note to recruiters and employment agencies: We will not pay for unsolicited resumes from recruiters and employment agencies unless we have a signed agreement and have required assistance, in writing, for a specific opening.