Intern Analyst Jobs

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Location Singapore Department Global Procurement, Front-End Materials Procurement Operations Project Title AI-Enabled Procurement Analytics and Process Transformation Project Description The Global Procurement team contributes to Micron’s growth by advancing total-cost effectiveness, supply-chain resilience, predictive capabilities, risk analysis, sustainability, and supplier diversity. The team provides a skills-based learning environment in which team members can develop capabilities, explore career pathways, and collaborate across a global organization. The intern will undertake a structured procurement transformation project involving data analytics, Artificial Intelligence, and automation. The project will provide practical exposure to procurement systems, supply-chain data, inventory analysis, workflow improvement, and Agentic AI while contributing to improved visibility and decision-making within Front-End Materials Procurement Operations. Objective of the Project Develop an AI-Enabled tracking and analytics solution for selected procurement and supply-chain activities. Analyze procurement workflows, data, and inventory indicators to identify risks, trends, a

About Bolna Bolna is a YC-backed voice AI orchestration platform built for the Indian market—powering multilingual, vernacular voice agents across Hindi, Hinglish, Tamil, and 10+ languages at sub-500ms latency across collections, recruitment, sales, and e-commerce use cases. We are an orchestration layer, not a model company: our moat is outcome-labelled vernacular data, rigorous evaluation infrastructure, and a growing taxonomy of how Indian enterprise voice AI fails in production. Why This Role Exists Product decisions at Bolna increasingly hinge on rigorous, code-mixed-aware data analysis—and not just one kind. On one side, there is model and evaluation rigor: LLM benchmarking for post-call intelligence, ASR/WER evaluation, inter-rater reliability on human-labelled calls, and routing and latency economics. On the other, there is product and growth insight: understanding where self-serve users drop off in their journey, what patterns emerge across lakhs of monthly calls, and which use cases and configurations are actually working. Both currently sit with the Head of Product alongside strategy and roadmap ownership. We need a dedicated analyst to own the execution and recurring cadence across both-freeing product leadership to act on findings rather than produce them. What You’ll Do Model and Evaluation Analysis LLM and model benchmarking: Run structured comparisons across model providers such as Sarvam, DeepSeek, Gemini, and Claude variants for tasks including post-call extraction and LLM-as-judge scoring. Evaluate cost, accuracy, fill rate, and TTR, with particular attention to Hinglish and code-mixed content. Evaluation infrastructure: Build and maintain LLM-as-judge pipelines using tools such as DeepEval, design and track evaluation metrics, and run inter-rater reliability analysis such as Krippendorff’s alpha across human call reviewers. Golden dataset creation: Support the construction of golden datasets for ASR and transcript labelling, including flagging co

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Location Singapore Department Global Procurement Project Title Procurement Analytics and Supplier Performance Improvement Project Description The intern will undertake a structured project within the Global Procurement team, gaining practical exposure to strategic sourcing, supplier management, procurement analytics, and business process improvement. Working under the guidance of experienced procurement professionals, the intern will examine procurement and supplier data, conduct market and supplier research, and develop analytical outputs that inform sourcing and category-management decisions. The project will provide opportunities to collaborate with stakeholders from Facilities, Engineering, Finance, Operations, and Global Procurement. The intern will also gain an understanding of procurement governance, supplier evaluation, cost analysis, and digital ways of working in a global business environment. Objective of the Project Develop an understanding of strategic sourcing, supplier management, and procurement governance. Apply analytical techniques to procurement, spend, cost, and supplier-performance data. Identify insights and improvement opportunities th

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Department ADTS ATI PI Project Title Faster Cell Metrics Drift Detection Using Advanced Data Analytics Project Description The intern will undertake a structured engineering project to develop data analytics and detection models for the early identification of cell metric drift using large-scale manufacturing test and measurement data. Under the guidance of experienced engineers, the intern will analyze relationships among inline, probe, cell metric, and quality data. The intern will gain exposure to industrial data analytics, statistical analysis, detection modelling, and visualization techniques used in semiconductor manufacturing. The project may also involve AI-Enabled workflows for data exploration, pattern identification, and analytical productivity. Project activities will focus on defined analytical assignments and measurable learning outcomes. Objective of the Project Develop an understanding of cell metrics and their relationship with semiconductor manufacturing and product-quality data. Analyze manufacturing data to identify early indicators of cell metric drift. Develop a detection methodology for monitoring selected cell metrics and potential quality excursions. Communicate a

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Location 1 Woodlands Industrial Park D, Street 1, Singapore Department Dry Etch Manufacturing Project Title Predictive Modelling of Dry Etch Equipment Consumable-Part Lifetime for Cost and Productivity Improvement Project Description The intern will undertake a structured engineering project focused on identifying key consumable parts in Dry Etch equipment and studying the process and equipment parameters that influence their useful lifetime. Under the guidance of experienced engineers, the intern will analyze equipment, process, maintenance, and consumables-related data to develop a predictive analysis model for estimating part lifetime. The project aims to improve consumable utilization and cost efficiency while maintaining safety, product quality, equipment performance, and manufacturing yield. The project will provide exposure to Dry Etch equipment, lean manufacturing, cost management, data analytics, predictive modelling, dashboard development, and AI-Enabled engineering workflows. Objective of the Project Develop an understanding of Dry Etch equipment functions, processes, and key consumable parts. Identify equipment and process parameters that influence consumable-part lifetime

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Department F10 Manufacturing, Photolithography Project Title Internet of Things-Based Photolithography Equipment Monitoring and Anomaly Detection Project Description The intern will undertake a structured engineering project focused on developing an Internet of Things-based solution for photolithography equipment and process monitoring. Under the guidance of experienced engineers, the intern will study photolithography equipment behaviour, process flow, and available sensor signals. The intern will apply Python programming, data analytics, system integration, and selected Machine Learning techniques to develop or enhance a defined monitoring use case. The project will provide practical exposure to semiconductor manufacturing equipment, Internet of Things architecture, data ingestion, signal processing, visualization, and AI-Enabled anomaly detection. Project activities will be limited to the assigned use case and conducted with appropriate engineering guidance. Objective of the Project Develop a strong understanding of photolithography equipment behaviour, process flow, and process signals. Design and implement an Internet of Things-based solution for enhanced equipment or process monitoring. Ena

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Location 990 Bendemeer Road, Singapore 339942 Department Storage Technology and Products Group Product Engineering, System and Solid-State Drive Project Title Product Yield, Test Coverage, and Failure Analysis Improvement Project Description Micron’s Product Engineering organization develops and qualifies memory and storage products that meet high standards of quality, performance, and reliability. The intern will undertake a structured engineering project involving NAND Flash, high-speed memory products, and solid-state drives. Under the guidance of experienced engineers, the intern will gain exposure to product development, qualification, manufacturing ramp, testing, product characterization, yield analysis, and electrical failure analysis. The intern will collaborate with engineers and cross-functional stakeholders on an assigned product engineering challenge. The project may also include the development of an AI-Enabled analytical or automation solution to improve selected engineering workflows. Objective of the Project Develop an understanding of NAND Flash, high-speed memory, and solid-state drive product engineering. Evaluate test coverage and engineering data to identify yield, quali

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Location 1 North Coast Drive, Singapore Department Product Integration Engineering, Yield Enhancement Project Title Data Analytics for Yield Enhancement in Advanced Memory Manufacturing Project Description This internship provides structured exposure to yield enhancement challenges in advanced memory manufacturing. Through guided learning and supervised technical exploration, the intern will gain practical experience applying data analytics techniques to understand yield behaviour and identify potential improvement opportunities. The project will involve semiconductor probe-test data, electrical failure modes, fabrication-process metrics, multivariate analysis, Python-based analytics, and introductory Machine Learning techniques. The intern will also explore approved Artificial Intelligence and Generative AI tools to enhance data exploration, solution development, and technical documentation. The project emphasizes learning, skills development, and the practical application of analytical methods in a manufacturing environment. It is designed to prepare the intern for future engineering and data-analysis roles in the semiconductor industry. Objective of the Project Develop an understanding of yield b

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Location 990 Bendemeer Road, Singapore 339942 Department Storage Technology and Products Group Product Engineering, Business Operations Project Title Artificial Intelligence Data Harness for End-to-End Ramp Intelligence and Business Operations Planning Project Description The Storage Technology and Products Group Product Engineering organization is at the forefront of developing Micron’s storage technologies and products. The Business Operations team drives strategic planning and operational excellence across key domains, including research and development cost management, operational expense planning, workforce management, metrics governance, and capital expenditure optimization. Under the guidance of experienced team members, the selected intern will contribute to a structured project to develop an Artificial Intelligence-enabled data harness platform. The platform will integrate relevant business-planning data and enable intelligent decision support for quarterly planning activities. This project offers an opportunity to apply Artificial Intelligence, data engineering, and business analytics to defined business-planning challenges within a global semiconductor research and development environment.<br

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Micron's vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate, and advance faster than ever. Department Introduction The Probe Area Manufacturing Engineering (AME) team supports semiconductor manufacturing through data-driven decision making, capacity planning, and continuous improvement initiatives. We collaborate closely with Operations, Industrial Engineering, Process Engineering, and Equipment Engineering to improve factory performance and operational excellence. Our team develops scalable systems, analytics, and business processes that enable manufacturing success. Position Overview The Manufacturing Engineering Intern will support projects focused on manufacturing analytics, process optimization, and operational improvement. This role provides hands-on experience applying Industrial Engineering principles within a fast-paced semiconductor manufacturing environment. The successful candidate will partner with engineers to develop insights, improve reporting solutions, and support data-driven decision making. Responsibilities Analyze manufacturing data and develop insights to improve factory performance. Develop dashboards and reporting solutions that support engineering and

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Location Micron Singapore, Fab 10 (1 North Coast Drive, Singapore 757432) Department Photolithography Process and Equipment Engineering Project Title AI-Enabled Quality Drift Detection and Engineering Workflow Automation Project Description Advanced data analytics and machine learning are increasingly used in semiconductor manufacturing to improve efficiency, process control, and quality performance. This internship project focuses on applying data analytics and machine learning techniques to large-scale quality datasets for faster detection of quality-metrics drift. The intern will contribute to an end-to-end solution covering data querying, preprocessing, analytics, modelling, and results visualization. Objective of the Project Develop analytical models for monitoring key quality metrics and detecting potential drift. Apply machine learning and multivariable analysis to large-scale test and measurement data. Create automated workflows that improve engineering productivity and analytical efficiency. Develop visualizations that communicate model results and quality trends effectively. Opportunities for Full Tim

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Location F10A Singapore, 1 North Coast Avenue Singapore 757432 Department High Bandwidth Memory Product and Systems Engineering, Industrial Engineering Management Project Title AI-Enabled High Bandwidth Memory Sample Planning and Workflow Optimization Project Description As an intern in the High Bandwidth Memory Product and Systems Engineering Industrial Engineering team, you will participate in a structured project to improve the visibility and planning of High Bandwidth Memory sample workflows through data analytics, dashboard development, and Artificial Intelligence. The project focuses on mapping the end-to-end sample workflow from Die Bank through probe, test, shipment, and the Reliability Lab. The intern will develop an AI-Enabled solution to predict sample arrival and reliability start dates, forecast burn-in resource demand, automate selected notifications, and provide operational insights through interactive dashboards. The internship provides hands-on exposure to semiconductor sample logistics, process documentation, predictive analytics, business intelligence, and workflow optimization. The intern will collaborate with engineering, planning, operations, and information techn

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Location Singapore Department Front End Capital Procurement Operations Project Title AI-Enabled Supplier Performance Analytics and Procurement Process Transformation Project Description This internship project focuses on developing data-driven and AI-Enabled solutions to improve supplier performance visibility, procurement analytics, and process efficiency within Front End Capital Procurement Operations. The intern will undertake a structured project involving supplier performance analysis, capital equipment delivery tracking, procurement dashboard development, and workflow optimization. The intern will also explore how Artificial Intelligence, Generative AI, AI Assistants, and Agentic AI can improve data analysis, reporting, knowledge retrieval, and decision-making. Objective of the Project Develop an analytical framework that improves visibility into supplier performance, capital equipment delivery, and procurement activities. Apply data analytics and AI-Enabled methodologies to identify supply risks, operational trends, and improvement opportunities. Evaluate procurement workflows and recommend opportunities for process simplification, standardizat

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Location Micron Singapore Bendemeer (MSB) Department Solid State Drive Manufacturing Operations Project Title Solid State Drive Manufacturing Productivity and Operational Improvement Project Description The Solid State Drive Manufacturing Intern will undertake a structured improvement project within the Manufacturing Operations team. The intern will apply industrial engineering, lean manufacturing, and data analytics principles to identify opportunities related to productivity, quality, safety, material flow, and operational efficiency. The project may cover Front End of Line, Middle End of Line, Back of Line, or Configure-to-Order manufacturing operations. The intern will gain practical exposure to semiconductor manufacturing while collaborating with Manufacturing, Industrial Engineering, Process Engineering, Test Engineering, Quality, and Planning stakeholders. Where relevant, the intern will use AI-Enabled analytics tools, Generative AI, or an AI Assistant to enhance data analysis, identify patterns, develop visualizations, and improve project documentation. Objective of the Project The objective is to provide the intern with practical experience in manufacturing improvement

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Location Singapore Department Product Engineering Project Title Machine Learning and Agentic AI Solutions for Semiconductor Product Engineering Project Description The Product Engineering Machine Learning and Agentic AI Intern will undertake an engineering project focused on applying Artificial Intelligence to semiconductor yield analysis, test optimization, data processing, and workflow automation. Working under the guidance of experienced Product Engineers and Citizen Data Scientist mentors, the intern will develop Machine Learning models, explore Agentic AI solutions, and evaluate engineering data from probe, wafer, test, and manufacturing processes. The project provides hands-on exposure to structured data analytics, Artificial Intelligence agents, engineering automation, and production-oriented AI applications in a semiconductor environment. Objective of the Project Develop Machine Learning solutions for semiconductor yield, reliability, test-time, or cycle-time improvement. Explore Agentic AI applications that automate selected engineering analysis and documentation workflows. Transform high-volume semiconductor datasets into structur