AI/ML Engineer Intern
Skills
About the role
Primary Duties & Responsibilities
Assist in developing AI/ML models to analyze test data from optical transceiver, 3D sensing, or high-speed hardware test systems.
Support supervised ML model development using algorithms such as Random Forest, XGBoost, LightGBM, or neural networks to predict test outcomes from early measurements.
Explore anomaly detection techniques such as Isolation Forests, clustering, or autoencoders to identify unusual test behavior or quality risks.
Help evaluate optimization techniques such as Bayesian Optimization, reinforcement learning, or multi-armed bandits for reducing tuning and test cycle time.
Work with senior engineers to analyze multi-parameter tuning problems involving bias currents, LUTs, equalizer settings, or calibration parameters.
Develop Python scripts and tools for test data cleaning, feature extraction, visualization, and model evaluation.
Assist in integrating ML prototypes with existing test automation frameworks, Python APIs, or lab test environments.
Analyze test station data to identify opportunities for test pruning, early termination, yield improvement, and throughput optimization.
Create reports, dashboards, or notebooks summarizing model performance, test-time savings, and key engineering insights.
Collaborate with AI/ML engineers, test engineers, hardware engineers, and manufacturing teams to understand test flows and data requirements.
Document experiments, model assumptions, results, and recommendations clearly for technical review.
Education & Experience
Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Data Science, Applied Physics, Machine Learning, or a related field.
Coursework, academic projects, internships, or research experience in machine learning, data analysis, statistics, signal processing, or test automation.
Experience working with Python for data analysis, scripting, or ML model development.
Exposure to hardware testing, optical communications, electronics, sensors, or manufacturing test environments is a plus.
Prior experience with lab instruments, automated testing, or large-scale test datasets is preferred but not required.
Skills
Strong Python development skills; proficiency with ML libraries (PyTorch, TensorFlow, scikit-learn, RLlib).
Hands-on with automation frameworks and hardware interfacing (DCAs, BERTs, oscilloscopes).
Knowledge of ML algorithms: supervised learning, reinforcement learning, Bayesian methods, anomaly detection.
Domain expertise in optical transceiver testing (TDECQ, ER, OMA, LUT calibration, BER tests) is a plus
Strong analytical, leadership, and cross-functional collaboration skills.
Experience working with statistical analysis tools for test data (SPC, yield analysis, correlation studies).
RESPONSIBILITIES
Assist in developing and optimizing AI/ML models for optical transceiver testing, ensuring accuracy and efficiency.
Integrate AI into calibration and validation processes, working closely with the engineering team.
Collect, preprocess, and analyze data for model training and improvement, a crucial step in our AI journey.
Support the team in identifying and solving complex engineering problems using AI/ML techniques, a key challenge in our industry.
Design and implement automated testing systems with AI integration, revolutionizing our testing processes.
Stay updated on the latest AI and ML advancements for optical communications, a critical aspect of our work.
Document and present your work, providing insights and recommendations to the team and stakeholders.
Engage in knowledge sharing, contributing to a collaborative and innovative work culture.
Assist in preparing technical reports and presentations, communicating our progress and findings.
QUALIFICATIONS
Pursuing a Bachelor's or Master's in Computer Science, Electrical Engineering, or a related field with an AI/ML focus.
Strong programming skills in Python, C++, or Java, a must-have for our AI endeavors.
Knowledge of machine learning algorithms and their applications, especially in optical communications, is essential.
Experience with data analysis and processing tools is preferred, a key asset for our data-driven approach.
Familiarity with optical transceivers and testing processes is advantageous, providing a solid foundation.
Excellent problem-solving and analytical skills, crucial for tackling complex engineering challenges.
Ability to work independently and collaboratively, a key trait for our team environment.
Good communication skills for effective knowledge sharing and collaboration.
Passion for innovation and a desire to contribute to cutting-edge technology, a driving force for our team.
Willingness to learn and adapt, embracing new technologies and methodologies.
ABOUT US
Coherent 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.
JOB INFO
Job Identification
2013034
Job Category
Manufacturing Engineering (R&D)
Posting Date
06/23/2026, 05:11 AM
Degree Level
Bachelor's Degree
Job Schedule
Full time
Locations
Unit 05-01, Hyderabad, Telangana, 500081, IN
(On-site)
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