Artificial Intelligence Research Intern Jobs

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. Roles & responsibilities can include but are not limited to: Define the global Defense Line (DL) matrices (Turnaround time, overdue matrices, detection compliance, Statistical Bin Limits (SBL) reactions etc) Ensure all sites adhere to globally aligned DL workflows Drive global automation and AI enhancements (YIT, Auto-contain, auto-disposition, Smart Manufacturing & Artificial Intelligence (SMAI) assisted detection) Oversee universal alignment for DL signals behave the same across sites Monitor the Assembly and Test specifications Improvements and optimization in existing DL systems via automation systems Spec limits (Analog values and limits, SBL Bins, Product level ESD) Test coverage/DL improvements (based on lessons learnt, Material review boards and Fail Mode Registers(FMR)) Network standardization (Dispositions/problems) FMR, Failure analysis, Failure analysis modelling and Defense Line Correlations Test program review and release Collaborate with cross-functional teams from Product Engineering, Media Health, Global Quality, Advanced Packaging Technology Development and Test Systems Engineering and drive projects to further enhance defense line 4 capabilities Mandatory Requirements: Strong understanding of semiconductor device physics Experience in device modelling and simulation using TCAD (Silvaco, Sentaurus, etc), as well as compact modelling. <

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. As a Senior Engineer, MCT Operations Quality at Micron Technology, Inc., you will lead and collaborate closely with Global Assembly & Test (AT) sites, Global Quality, and various cross-functional stakeholders to drive on Manual Touchpoint Reduction. You will champion a Quality-First mindset by driving manufacturing solutions and end-to-end redesign initiatives to eliminate manual steps upfront that reduce operational error, prevent customer events and enhance product quality across Global AT network. Job Responsibilities: Lead global initiatives and collaborate with AT sites and Global Quality to identify and eliminate high-risk manual touchpoints across Assembly, Test/Post E, Module/SSD, HBM/PWF areas. Conduct onsite validation of the manual touchpoints at the source, identify quality risks, and propose improvements to eliminate the touchpoints. Collaborate with subject matter experts and drive the development and deployment of scalable solutions through physical automation/robotics, system automation, and Predictive Quality & Generative AI-enabled solutions. Collaborate with subject matter experts on end-to-end redesign initiatives to eliminate manual touchpoints upfront. Lead as the central team program governance to drive strategy, alignment, and execution consistency across all AT sites. Drive the rapid replication and scaling of proven solutions across AT sites through structured deployment frameworks

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our products and make business decisions. This will involve identifying and scoping opportunities, shaping team priorities, recommending and implementing technical solutions, designing experiments, and measuring the impact of new features. The Airports team, within the Driver organization, focuses on the airport marketplace and the unique products designed for this use case. Airports are one of the most important, impactful, and complex parts of Lyft’s Rideshare business, as they are a key part of both the rider and driver Lyft experience and have unique dynamics. As a Data Scientist on the Airport team, you will collaborate with our team of engineers, product managers, and designers to think critically about the current rider and driver experience and implement product enhancements to facilitate market growth. The ideal candidate can apply strong business acumen to propose product changes, develop end-to-end technical solutions, and is comfortable working with a highly cross functional team. In this role, you will help us tackle problems such as: What rider segments are present at airports and how can we address their major pain points to grow our airport marketshare? What new airport product features can we introduce to grow rider demand? Are we able to forecast rider demand and use this prediction to adjust ride offerings or improve the rider experience? How can we optimize ride offerings for each rider to maximize conversion? Responsibilities Define and implement decision frameworks, measurement strategies, and scientific methodologies that bring consistency and rigor to business decisions and forecasts, balancing opportunity and uncertainty Desi

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is transforming the future of data and we are looking for a dynamic Sr. Manager, Technical Delivery to lead our Snowflake Professional Services team. As strategic experts in implementing the Snowflake platform, we engage with customers to optimize, accelerate, and drive meaningful business outcomes through cutting-edge technology solutions including Artificial Intelligence (AI) and Generative AI (GenAI). As a Delivery Manager, you will lead teams executing complex migrations from legacy systems to the Snowflake platform. Your role will involve close collaboration with customers and system integrators to understand requirements, design robust migration strategies, oversee seamless transitions, and act as a strategic advisor to your customers. Your leadership will ensure that Snowflake is positioned as the premier solution in data warehousing and analytics, influencing both technical and executive stakeholders. AS A DELIVERY MANAGER AT SNOWFLAKE, YOU WILL: Lead, develop, and mentor a team of Solutions Architects and Consultants, who serve as our Snowflake implementation, optimization, development and delivery experts Play an active role in sourcing and screening potential candidates and managing the interview process Be a technical expert on all aspects of Snowflake

Sigma’s vision is to create an insight-driven world where people, organizations, and, ultimately, humanity are transformed for the better by data. At Sigma, we are building a cloud-native business intelligence platform that allows users to tap into their biggest databases hosted in the cloud and easily conduct ad hoc analysis to gain business insights in seconds. All without any SQL programming. We are growing the Solution Engineering team and are looking for a Solution Engineer who will help redefine the business intelligence landscape for our customers. You will join a talented team of Solution Engineers with a shared mission to truly make data access easy to drive business results. The Sigma Solution Engineer believes in the power of analytics to transform organizations and uncover new data insights to increase business agility. The Sigma Solution Engineer will act as the trusted advisor to our prospects and customers working in tandem with Sales, Business Development, Product Management, Engineering, and Support. This individual is ultimately responsible for managing and delivering on all activities related to the technical presales cycle. This includes presentations, demonstrations, and hands on development of prototypes. You will align closely with our field Regional Sales Managers (Enterprise) focused on sales in new and existing accounts. What You Will Be Doing Understand and uncover business challenges and issues faced by the customer and be able to run a targeted discovery sessions or workshop Engage with business users to define, create, and showcase solution prototypes Build and present customized demos for customers, trade shows, and webinars Confidently present and articulate the business value of the Sigma platform to all levels within an organization Deliver product, technical, and security related responses on RFPs/RFIs Participate in product, sales, and relevant technology certifications to acquire, maintain, and gro

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. Roles & responsibilities can include but are not limited to: Define the global DL4 matrices (Turnaround time, overdue matrices, detection compliance, Statistical Bin Limits (SBL) reactions etc) Ensure all sites adhere to globally aligned DL4 workflows Drive global automation and AI enhancements (YIT, Auto-contain, auto-disposition, Smart Manufacturing & Artificial Intelligence (SMAI) assisted detection) Oversee universal alignment so DL4 signal signals behave the same across sites Monitor the Assembly and Test specifications Improvements and optimization in existing DL4 systems via automation systems Spec limits (Analog values and limits, SBL Bins, Product level ESD) Test coverage/DL4 improvements (based on lessons learnt, Material review boards and Fail Mode Registers(FMR)) Network standardization (Dispositions/problems) FMR, Failure analysis, Failure analysis modelling and Defense Line Correlations Test program review and release Collaborate with cross-functional teams from Product Engineering, Media Health, Global Quality, Advanced Packaging Technology Development and Test Systems Engineering and drive projects to further enhance defense line 4 capabilities Mandatory Requirements: Strong understanding of semiconductor device physics Experience or know-how in device modelling and simulation using TCAD (Silvaco, Sentaurus, etc), as well as compact modellin

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. 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. As a Physical Verification Engineer, you will be a key technical contributor within the Heterogeneous Integration Group (HIG), responsible for defining, executing, and driving sign-off quality physical verification flows for next‑generation HBM logic die and memory‑centric SoCs. You will work across physical design, design rule development, EDA tool teams, foundry interfaces, and product engineering teams to deliver industry‑leading, tape-out-ready silicon under aggressive schedule, quality, and reliability constraints. This role combines full-chip physical verification ownership — including DRC, LVS, ERC, and DFM — with deep collaboration across implementation and silicon bring‑up, ensuring design integrity from layout through first silicon. Responsibilities will include, but are not limited to: Implement physical verification sign‑off for full‑chip and hierarchical designs, including Design Rule Check (DRC), Layout Versus Schematic (LVS), Electrical Rule Check (ERC), Physical Electrical Rule Check (PERC), antenna checking, and Design for Manufacturability (DFM). Implement and

About the Team: OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. In this role you will: As a Hardware Test Engineer, you will work on Machine Learning/AI hardware system projects to craft the solutions for current and future data center deployments. You will bring a strong understanding of hardware system testing, excellent project management skills, and the ability to collaborate across multiple teams to ensure efficient lab operations. You will be responsible for designing, implementing, and executing comprehensive test plans that ensure the reliability, performance, and scalability of our supercomputing hardware systems. You will develop detailed test plans and methodologies tailored to hardware components, including processors, memory modules, custom accelerators and interconnects. You will collaborate with hardware design, manufacturing, firmware teams and vendors to identify, analyze, and resolve issues affecting hardware, power, thermal and high-speed interconnects. You will perform in-depth debugging on the hardware system Excellent analytical skills to diagnose hardware issues, troubleshoot problems, and propose solutions. Ability to interpret complex test data, identify trends, and draw meaningful conclusions. High-speed links, with a focus on SerDes (Serializer/Deserializer) technology to assess signal integrity, error rates, and overall link performance. You will collaborate with the lab manager to maintain the equipment and hardware systems, including oscilloscopes, thermal test chambers, liquid cooling systems, and other mea

Internship Summary Are you looking for an internship that provides real life experience? Phoenix Contact's Corporate Management Team is seeking a highly analytical and business-oriented Data Science & Analytics Intern to support strategic initiatives across Product Management, Operations, Sales, and Marketing. This role is ideal for students who enjoy combining technical data skills with business problem solving to identify trends, uncover opportunities, and recommend actions. Our Fall (Sept – Dec) interns work full time with the opportunity to continue through Spring. We strongly prefer candidates who can work onsite regularly to accelerate learning, collaboration, and business understanding. What does a typical day look like? Onsite Day Meet with Product Management, Operations, Manufacturing, Sales, or AEP teams to understand business challenges and decision-making needs. Analyze customer, product, pricing, operations, supply chain, and financial data to identify trends, root causes, and improvement opportunities. Translate ambiguous business questions into structured analytical approaches. Work directly with leadership and subject matter experts to understand product portfolios, operational processes, and customer dynamics. Build dashboards, predictive models, business cases, and executive-level recommendations. Present findings, risks, and recommended actions to stakeholders. Remote day: Deep analytical work including: Data mining and exploration Statistical analysis Predictive modeling Data cleansing and transformation AI-assisted analytics and automation Develop Power BI dashboards and self-service reporting tools. Prepare executive-ready presentations and recommendations. Document assumptions, methodologies, and business insights What makes this internship unique? Phoenix Contact is a global technology leader where interns work on real business challenges that impact customers, products, and operations. Unlike many internships focused solely on reporting,

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. Location: Madrid for an onboarding period of 2 years and a possible relocation to London after. Customer base will be in the UK, involving travel to meet clients in person. Start date: 1st of February 2027. Role Description As an Applied (AI) Value Engineer you are pushing the envelope in solving business-critical problems for our customers. You are part of our Value Engineering team and are the trusted advisor for customers working on the intersection of technology and business. You will be working with our most strategic customers, understanding their objectives and key challenges, and building Celonis solutions using the world’s leading Process Intelligence (PI) platform in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers. Launch Yo

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. Location: Madrid for an onboarding period of 2 years and a possible relocation to London after. Customer base will be in the UK, involving travel to meet clients in person. Start date: 1st of February 2027. Role Description As an (AI) Solution Consultant you are pushing the envelope in solving business-critical problems for our customers. You are part of our Value Engineering team and are the trusted advisor for customers working on the intersection of technology and business. You will be working with our most strategic customers, understanding their objectives and key challenges, and building Celonis solutions using the world’s leading Process Intelligence (PI) platform in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers. Launch Your

Manager, Commercial Solution Engineering San Francisco, CA (hybrid, 4 days/week onsite) Sigma is the AI runtime environment for the modern enterprise. Teams build apps, agents, and analytics directly in Sigma, with governance and security inherited from the cloud data warehouse. No extracts, no separate AI pipelines, no shadow stack to maintain. Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and JPMorgan Chase. Sigma announced its $80M in Series E financing in May 2026. The round was led by Princeville Capital, with new strategic investors Databricks Ventures, ServiceNow Ventures, and Workday Ventures participating alongside returning investors Altimeter Capital, Avenir Growth Capital, D1 Capital Partners, K5 Global, NewView Capital, Spark Capital, Sutter Hill Ventures, and XN. This milestone follows Sigma reaching $200M in annual recurring revenue in April 2026, with more than 100% year-over-year growth and 1.1 million new active users added in the latest fiscal year. We are growing the Solution Engineering team and are looking for a Manager, Commercial Solution Engineering to lead our Commercial team — a group of Solution Engineers with a shared mission to make data access easy and drive business results. The Sigma Solution Engineering Manager is a first-line, player-coach leader who believes in the power of coaching people and the power of analytics to transform organizations. You act as a trusted advisor to your team and to the business, working in tandem with Sales, Customer Success, Product, and Marketing, while remaining ultimately responsible for the health, growth, and output of your Commercial Solution Engineering team. What you will be doing Hire, ramp, and coach a team of Commercial Solution Engineers, giving direct and timely feedback delivered from the heart — always be coaching Build individual development plans that give each SE agency and a path toward future leadership Keep a warm benc

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. 職務概要 Production Line Management Engineerは、Fab15のHVM製造ラインにおけるオペレーションを担当し、ラインバランスの維持、スループット最大化、サイクルタイム短縮を目的とした運用管理を行います。製造現場の課題を分析し、改善策を実装することで、安定した生産と顧客納期遵守しMax Outに貢献します。 職務内容 AI / SQL / Python 等を用いて問題の定期と解析及び解決のsolution提案。 製造ラインの稼働状況監視とラインバランス調整 サイクルタイム、スループット、稼働率などのKPI分析と改善提案 生産計画に基づくロットフロー管理、優先度設定&#xff08;Lot Priority&#xff09; 異常発生時の迅速なトラブルシューティングとリカバリー対応 DXチームやOMTチームとの連携による自動化・効率化施策の推進 FabPace改善活動への参画 必須条件 半導体製造プロセス、ライン管理、サイクルタイム改善の製造オペレーション知識を持ち、なおかつ3年以上の実務経験がある方 問題解決能力&#xff1a;異常時の原因分析と迅速な対応 コミュニケーション能力&#xff1a;現場オペレーター、DXチームとの協働 データ分析スキル&#xff1a;Excel、SQLを用いたKPI分析 歓迎条件 データ分析スキル&#xff1a;Excel、SQLを用いたKPI分析基本ITスキル&#xff1a;MES&#xff08;生産管理システム&#xff09;操作、レポート作成、標準ツールの活用 生産スケジューラの知識 英語力&#xff1a;日常会話レベル以上 日本語力&#xff1a;ビジネスレベル&#xff08;JLPT N2相当&#xff09;以上 Job Summary The Production Line Management Engineer is responsible for the operation of the high-volume manufacturing (HVM) production line at Fab15. This role focuses on maintaining line balance, maximizing throughput, and reducing cycle time. By analyzing manufacturing issues and implementing improvement measures, the e

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. 職務内容 Tool Install Engineerは、Micron広島工場における半導体製造装置の新規導入、増設、移設、改造および撤去プロジェクトを担当します。設備オーナー、プロセスエンジニア、Facilities各部署、建設業者および装置メーカーと連携し、Tool InstallationおよびHookup工事を安全・高品質・納期遵守で実行します。 また、プロジェクトマネジメントを通じてScope、Budget、Scheduleを管理し、設備立上げまでの工程を主導します。さらに、データ分析やAI技術を活用して業務改善を推進するとともに、安全性、生産性およびコスト効率の向上に貢献します。 業務内容 ・半導体製造装置の新規導入・増設・移設・改造・撤去プロジェクトの実行 ・Tool Install Projectの計画立案および実行管理 ・Scope、Budget、Scheduleの管理 ・Tool Owner、Process Engineer、Facilities Engineer、Vendorとの調整 ・Tool Service Requirement&#xff08;TSR&#xff09;および設計資料のレビュー ・Hookup Drawing Packageの確認および工事内容の精査 ・Utility供給能力確認および設備改造計画の立案 ・Hookup工事、建設工事、設備搬入工程の管理 ・安全・品質・工程管理および施工検査の実施 ・Design Reviewおよびリスクアセスメントの実施 ・FMEA等を用いたリスク分析と予防策の立案 ・設備立上げ、Utility Release、Tool Qualification支援 ・トラブル発生時の原因分析および恒久対策の推進 ・工事コスト最適化および省エネルギー活動の推進 ・設備導入プロセスの標準化および継続的改善 ・Tableau、Power BI等を活用したデータ分析および可視化 ・AIおよびデジタルツールを活用した業務改善活動 ・関係者向け技術資料およびトレーニング資料の作成 ・グローバルチームとの連携および技術情報共有 必要な知識・能力・経験など Must&#xff08;必須条件&#xff09; ・ビジネスレベルの日本語能力 ・学士号&#xff08;工学系歓迎&#xff09;または同等の実務経験 ・半導体工場または製造業における設備導入・建設・Facilities関連業務経験 ・プロジェクトマネジメント経験 ・安全管理およびリスクアセスメントに関する知識 ・Tool InstallまたはHookup工事に関する知識 ・図面&#xff08;P&ID、Layout、Utility Drawing等&#xff09;の読解能力 ・複数プロジェクトを同時に管理できる能力 ・問題解決能力および関係者調整能力 ・Microsoft Office&#xff08;Excel、Power

About the job Build the framework support that helps AI developers unlock Graphcore hardware. You will help Graphcore accelerators work seamlessly with state-of-the-art ML frameworks, including Triton and PyTorch. Reporting to a Team Lead in Frameworks, you will design, implement, optimise and support critical software. Your work will shape how researchers and engineers use Graphcore hardware for demanding machine learning workloads. You will improve performance, quality and usability across a complex software stack. You will join our Triton team, delivering new features, reviewing code, writing technical documentation and working with upstream communities. You will also help coordinate open-ended technical work across teams. This role offers deep technical ownership and visible impact as the ML software landscape evolves. You will keep learning and may contribute across other framework teams. The team and culture The Frameworks team connects Graphcore hardware with the tools ML engineers and researchers rely on. We work across PyTorch, Triton, JAX and TensorFlow, focusing on usability and performance. Work happens through agile practices, close technical discussion and clear ownership. Engineers are trusted to speak up, solve hard problems and move work forward with pace. Decisions are shaped by evidence, code quality and business outcomes. You will work across Graphcore and with open-source communities to deliver software developers can trust. What we’re looking for · Strong software engineering skills, with the judgement to manage quality, complexity and technical debt. · Experience developing in Python and C++. · Experience in compiler development. · Ability to manage complex technical tasks with cross-team dependencies. · Clear communication skills, with a proactive approach to collaboration and technical leadership. · Interest in AI, ML frameworks, performance optimisation or computationally intensive engineering. Benefits · Flexible working: Balance your work