Internship Job Descriptions
Data Scientist 405
Team Description: The [Classified] Commerce Platform Experiences (CPX) Engineering Team is dedicated to optimizing and stabilizing the purchase experiences for our customers. Our team is responsible for billions of dollars and millions of commercial transactions per year. We are seeking a talented and creative student intern to join our team. In this role, you will help us refine our telemetry systems, enhancing our core infrastructure to meet new security standards, and leverage Copilot / machine learning tools to empower our telemetry dashboard.
Responsibilities:
- Enhance Core Infrastructure: Assist in securing our core infrastructure to comply with new security standards.
- Telemetry System Improvement: Contribute to the development and enhancement of our telemetry systems to better track and analyze purchase experiences.
- Machine Learning Integration: Utilize Copilot and other machine learning tools to improve our telemetry dashboard and extract actionable insights from purchase flow data.
- Collaboration: Work closely with team members to ensure integration of new tools and methodologies aligns with project goals and objectives.
Preferred Skills:
- Familiarity with agile practices, including continuous integration, delivery, and production deployment processes.
- Proficiency in programming languages such as C#, Python, or Java.
- Experience with machine learning frameworks and data analysis tools is desirable.
- Focus on quality and security right from the design phase, incorporating best practices and test methodology.
- Proficient in both written and verbal communication, essential for collaborating effectively with engineering teams located around the world.
- Good technical, analytical, and problem-solving skills and a creative approach to tackling challenges.
- Ability to work independently as well as part of a team in a fast-paced environment.
Data Scientist 404
Team Description: Leverage the OpenAI Azure API to develop a core file analysis tool. This tool will utilize Natural Language Processing (NLP) and Artificial Intelligence (AI) to accelerate the analysis of core files. You will be responsible for training the model using existing core files from customers, exploring different models, and converging on a solution that provides highly accurate results for similarity searches.
Program Manager 401
Team Description: The Intune Mobility team ships products which provide mobile device management and mobile app management protection to Android, Apple and virtual reality devices. With Intune, employees can access their organization’s applications and data securely through the policies that their IT administrator has applied to their mobile device. Intune solutions enable end-users to work from anywhere and from any device.
Project Details: Create a sample SwiftUI application for iOS that showcases the features of the Intune App SDK (https://learn.[Classified].com/en-us/mem/intune/developer/app-sdk-ios-phase1) for iOS.
The [Classified] Intune App SDK for iOS allows iOS application developers to incorporate support for Mobile Application Management (MAM) policies into their iOS application, allowing IT administrators to protect their organization’s data in both the fully managed device scenario as well as in an unmanaged bring-your-own-device (BYOD) scenario. The Intune iOS MAM client team often works closely with iOS application developers both within and outside of [Classified] to help them integrate the Intune App SDK. The team provides resources like documentation, Q/A forums, and sample applications to help application developers successfully integrate the SDK. As Apple’s application development technologies have changed over time, the team has developed both Objective-C (https://github.com/[Classified]connect/wagr) and Swift (https://github.com/[Classified]connect/Chatr-Sample-Intune-iOS-App) sample applications for developers to use as a reference when integrating the SDK into their own application. Most recently, Apple has introduced SwiftUI (https://developer.apple.com/xcode/swiftui/) - a declarative framework that application developers can leverage to quickly and easily build their applications for all Apple platforms. In this role, you’ll be expected to develop and deliver a high quality SwiftUI-based iOS/iPadOS application which integrates the Intune App SDK and showcases the features and capabilities of Intune Mobile App Management. Your application will be used as a reference by developers across the globe while working to integrate the Intune App SDK into their own applications.Preferred Skills:
- UI development experience
- Mobile application development experience
- Experience working with in Objective-C, Swift, and/or SwiftUI
Program Manager 402
Team Description: [Classified] Intune helps millions of people and organizations do more at work and at school with the devices they love. We build software that runs on Android, iOS, Mac, Windows, and the Azure cloud to manage devices for companies and schools around the world. Externs will work primarily with our program management team here in Cambridge with a focus on learning, investigating, collaborating and designing new features for customers who use Intune to manage iOS, macOS or Android devices.
Program Manager 399
Team Description: The Intune Mobility team ships products which provide mobile device management and mobile app management protection to Android, Apple and virtual reality devices. With Intune, employees can access their organization’s applications and data securely through the policies that their IT administrator has applied to their mobile device. Intune solutions enable end-users to work from anywhere and from any device.
Project Details: Create a sample SwiftUI application for iOS that showcases the features of the Intune App SDK (https://learn.[Classified].com/en-us/mem/intune/developer/app-sdk-ios-phase1) for iOS.
The [Classified] Intune App SDK for iOS allows iOS application developers to incorporate support for Mobile Application Management (MAM) policies into their iOS application, allowing IT administrators to protect their organization’s data in both the fully managed device scenario as well as in an unmanaged bring-your-own-device (BYOD) scenario. The Intune iOS MAM client team often works closely with iOS application developers both within and outside of [Classified] to help them integrate the Intune App SDK. The team provides resources like documentation, Q/A forums, and sample applications to help application developers successfully integrate the SDK. As Apple’s application development technologies have changed over time, the team has developed both Objective-C (https://github.com/[Classified]connect/wagr) and Swift (https://github.com/[Classified]connect/Chatr-Sample-Intune-iOS-App) sample applications for developers to use as a reference when integrating the SDK into their own application. Most recently, Apple has introduced SwiftUI (https://developer.apple.com/xcode/swiftui/) - a declarative framework that application developers can leverage to quickly and easily build their applications for all Apple platforms. In this role, you’ll be expected to develop and deliver a high quality SwiftUI-based iOS/iPadOS application which integrates the Intune App SDK and showcases the features and capabilities of Intune Mobile App Management. Your application will be used as a reference by developers across the globe while working to integrate the Intune App SDK into their own applications.
Preferred Skills:
- UI development experience
- Mobile application development experience
- Experience working with in Objective-C, Swift, and/or SwiftUI
Program Manager 398
Team Description: Join MAIDAP for a ~1-month Applied Science (AS) internship where you will leverage your AI expertise to advance state-of-the-art technology and product development. Ideal candidates are Juniors, MSc. (in their final year) or PhD students majoring in Statistics, Mathematics, Computer Science, Electrical or Computer Engineering, or related fields with experience and interests in AI/generative AI, machine learning, deep learning frameworks, and proficiency in programming languages such as Python. You will collaborate with interdisciplinary teams to develop and implement AI solutions, stay current with the latest research, and communicate your findings with key stakeholders. This role offers a unique opportunity to work on impactful projects and drive innovation at [Classified]. You may also have the opportunity to patent and publish relevant IP and scientific research. If you are passionate about data-driven learning and excited by the prospect of working on a wide variety of datasets and AI applications across many products and engineering teams, this is the opportunity for you.
Program Manager 397
Team Description: Join MAIDAP for a ~1-month Applied Science (AS) internship where you will leverage your AI expertise to advance state-of-the-art technology and product development. Ideal candidates are Juniors, MSc. (in their final year) or PhD students majoring in Statistics, Mathematics, Computer Science, Electrical or Computer Engineering, or related fields with experience and interests in AI/generative AI, machine learning, deep learning frameworks, and proficiency in programming languages such as Python. You will collaborate with interdisciplinary teams to develop and implement AI solutions, stay current with the latest research, and communicate your findings with key stakeholders. This role offers a unique opportunity to work on impactful projects and drive innovation at [Classified]. You may also have the opportunity to patent and publish relevant IP and scientific research. If you are passionate about data-driven learning and excited by the prospect of working on a wide variety of datasets and AI applications across many products and engineering teams, this is the opportunity for you.
SDE 396
Team Description: [Classified] Health & Life Sciences (HLS) are looking for a Software Engineer to join the Diagnostics Innovation Acceleration Team. Our team’s mission is to take on challenging and forward-looking pieces of work that enable the rest of our division to thrive and succeed. We touch all areas of the stack, inclusive of cloud infrastructure and architecture, AI, backend and API services, and front-end user experience. We work across the spectrum to deliver innovative solutions for our diagnostics products. You will work alongside our Copilot engineers, developing bespoke solutions to specific problems that bolster our products. The ideal candidate will be inquisitive and a self-starter, willing to take on challenging and complex pieces of work across the stack. The successful candidate will have interests in designing and building software, and a drive to deliver high-quality solutions, with testing, security, and deployments in mind.
Responsibilities: You have an interest in the designing and developing of solutions using modern software engineering practices, cloud technologies, and API development. Your responsibilities will include:
- Take part in design, implementation, and code reviews.
- Follow a security-first approach in the development of cloud infrastructure, automation, and services.
- Align with our business compliance and security pillars.
- Apply knowledge of debugging tools, logs, telemetry, and other methods.
- Actively engage and communicate within and across teams to reach successful outcomes through collaboration.
- Write extensible, re-usable code for services and features, following reuse practices as applicable.
Preferred Skills:
- Experience with agile methodologies; continuous integration, delivery and deployment to production.
- Understanding of / experience with software life cycle experience, including deployment.
- Interest in / experience of building robust, secure, scalable, services and distributed systems in one or more general purpose programming languages (.Net, C#, Python, Golang).
- Focus on quality and security right from the design phase, incorporating best practices and test methodology.
- Familiarity / interest with service and cloud-based architectures.
- Strong communication skills, both written and verbal, required for effective collaboration with globally distributed engineering teams.
- Passion for software engineering, design, and performance.
- Good technical, analytical, and problem-solving skills.
SDE 395
Project Description: Azure Networking offers a comprehensive set of services for connecting, securing, delivering, and monitoring both cloud and hybrid networks. While these services are robust, managing and optimizing them can become complex and time-consuming, particularly as networks grow and evolve. Network Copilot, powered by large language models (LLMs), is designed to assist customers by enhancing network design and architecture, troubleshooting issues, optimizing performance and availability, analyzing traffic, detecting anomalies, creating monitors, and answering questions about network topology. The goal of this project is to build an Azure Networking plugin that will aid in the custom orchestration and will augment Azure Copilot with Networking specific scenarios. This role involves building a tool that helps customers design, manage, and troubleshoot their networks more easily.
Preferred Skills: Working knowledge of AI/LLMs/ML and data analysis techniques, with practical coding experience in at least one language.
SDE 394
Project Description: Build a wireless networking Protocol Feature in C++. Explore and understand the software development lifecycle through the design and implementation of a wireless protocol feature using C++. This project provides a structured approach to understanding and executing the software development lifecycle including requirements gathering, design, implementation, testing, and documentation.
SDE 392
Project Description: Roles are to work on Loop Copilot, our AI platform for collaborative, multi-user Generative AI coupled with a collaborative and flexible canvas capable of capturing a wide modality of answers and artifacts. This is the technology behind not only [Classified] Loop app, but also the newly announced [Classified] Copilot Pages product. We're looking for candidates passionate about leveraging AI and LLMs, and technology opportunities ranging the full stack - from advancing prompt engineering, to working on technology to leverage M365 to ground prompts, to working on frontend solutions for capturing and reusing LLM interactions.