Internship General Sales Support Intern in United States

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. We are accepting applications for this position until 10/16/2026 Position Overview: At Freddie Mac, you will do meaningful work that helps build a stronger housing finance system and supports homeownership and rental housing opportunities across the nation. Launch your career by contributing to one of the most important risk management functions in the financial services industry. Our internships and graduate programs provide opportunities to tackle complex business challenges, collaborate with experienced professionals, and make an impact from day one. As an Enterprise Risk Business Intern, you will gain exposure to enterprise-wide risk management practices, emerging technology risks, AI governance, and strategic oversight activities while developing valuable analytical, communication, and leadership skills. Our Impact: Enterprise Risk Management (ERM) helps build and maintain a strong, effective, and efficient risk management framework across Freddie Mac. We provide independent oversight and assessment of financial and non-financial risks while promoting a strong risk culture throughout the organization. As risk management continues to evolve, our teams play an increasingly important role in overseeing areas such as artificial intelligence, model risk, fraud risk, data governance, and enterprise-wide risk frameworks. We work across business functions to ensure that risk management practices remain effective, scalable, and aligned with regulatory and busines

About the Team The Astral team builds high-performance developer tools to power the future of programming, at OpenAI and beyond, including Ruff, uv, and ty. The Astral toolchain sees hundreds of millions of installs per month and powers hundreds of millions of package downloads per day for the Python ecosystem. As a team, we are building on those foundations to continue solving impactful tooling problems as programming evolves. About the Role We are looking for an experienced software engineer to build next-generation programming language tooling. If you like writing high-performance Rust, it could be a good fit; if you like thinking about the future of programming, it could also be a good fit. Strong candidates tend to have deep experience with Rust, Python, open source, compilers, or developer tools — but few candidates are deep in all of these areas, and we've hired candidates without prior Rust or Python experience. In this role, you will: Design and implement features in Astral’s existing open source projects (Ruff, uv, ty, and python-build-standalone, and more). Support Astral’s open source projects as a maintainer, triaging user issues, reviewing pull requests, and participating in community discussions. Evolve the Astral toolchain to accelerate development velocity at OpenAI. Build entirely new tools, in entirely different programming ecosystems, to power the future of agentic software development. Your background might look something like: 5+ years of professional engineering experience, excluding internships, in relevant engineering roles. High agency and comfort operating in a fast-moving environment, with strong ownership of security, reliability, and operational excellence. Strong developer empathy and communication skills, including experience maintaining open source projects. Exceptional systems engineering fundamentals and a track record of leading complex projects from ambiguous problem statements through to user impact. Proficiency in one or more s

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role Emerging Talent is an important part of how Ramp builds for the long term. It gives us the opportunity to meet exceptional people early, build relationships before they enter the broader talent market, and develop the next generation of Ramp talent. We’re hiring a Recruiter to help build and execute our Emerging Talent programs. You’ll own full-cycle recruiting across early-career roles and internships, partnering closely with hiring teams to identify, assess, and close exceptional candidates. A big part of the job is finding talent before everyone else does. You’ll build relationships with students and early-career candidates, develop new ways to reach high-potential talent, and help create an exceptional experience from a candidate’s first interaction with Ramp through offer and, for our interns, potential conversion to full-time. You’ll also have the opportunity to improve how we operate, test new approaches, and help shape a growing Emerging Talent function. What You'll Do Own full-cycle recruiting across Ramp’s Emerging Talent ro

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. The Agent Infra team builds the infrastructure that runs autonomous AI agents at Roblox for millions of creators building experiences on our platform, and for thousands of Roblox engineers shipping production code every day. Agent workloads break the assumptions most infrastructure is built on. They run for hours instead of milliseconds, they're non-deterministic, they execute code nobody wrote, and they need real credentials against real systems to be useful at all. Making that safe, durable, and cost effective at Roblox’s scale is the hard problem our team is solving. As an early member of the Agent Infra team you’ll work alongside an experienced engineering team on systems that are already in front of real users, at scale, in a field that didn’t exist two years ago. You Are Early in your career : 1-3 years of professional experience or a recent grad; with strong CS fundamentals and an interest in learning infrastructure, distributed, and agentic systems. Someone who builds things: You have projects, internships, or open-source work you'd genuinely enjoy walking us through. Into AI agents. You've built something with them, even something small, and you can tell us what broke. Comfortable

About the Team API Multimodal builds the developer-facing products and infrastructure that bring OpenAI’s image, audio, and real-time model capabilities into the world. We are responsible for high-scale APIs for image generation, speech transcription, speech generation, and low-latency voice interactions. We partner closely with Research and Inference to bring frontier model capabilities to developers and use customer feedback to improve our models. About the Role As a software engineer on API Multimodal, you will build and operate the products and distributed systems behind OpenAI’s image, audio, and real-time APIs. You will work across model integration, API design, and production infrastructure to turn new research capabilities into reliable developer experiences. This hands-on role combines backend and systems depth with product judgment: you will own projects end to end, partner with Research, Inference, and Safety, and help make multimodal AI useful at scale. Model training experience is not required. In this role, you will: Design, build, and ship developer-facing APIs and backend services that serve frontier models. Architect low-latency streaming, request, session, and model integration systems that make complex multimodal interactions reliable and intuitive at scale. Work directly with Research to bring new model capabilities into production, shape the systems around them, and incorporate feedback from real-world developers and customers. Own the availability, latency, scalability, and cost efficiency of the services you build. Own projects from technical design and implementation through launch and ongoing iteration, while raising the team’s engineering standards. Your background might look something like: 7+ years of professional experience, excluding internships, in backend, infrastructure, platform, or product engineering roles. A track record of designing, building, and operating production backend services, developer-facing APIs, or distributed syste

About the Team The Cloud Agents team builds product infrastructure for long-running agents in the cloud: orchestration, sandboxing and isolation, secure environment connectivity, secrets and identity, observability, reliability, and cost controls. These agents securely connect to diverse developer and customer environments and use tools to accomplish goals. We partner closely with product, research, and infrastructure teams to turn agentic capabilities into dependable platforms for OpenAI products and developers building on OpenAI. About the Role We are looking for an experienced software engineer to help build and scale our cloud agent platform. You will design and operate systems for orchestrating agents at scale. You will work closely with product engineers on ChatGPT, API, and Codex to define the right abstractions and enable them to ship products quickly. Strong backend or infrastructure experience is important; experience with Python, Rust, distributed systems, cloud infrastructure, or product platforms is especially helpful. In this role, you will: Design and scale the orchestration, sandboxing and storage systems that run agentic workloads for Codex, ChatGPT, and the OpenAI API. Partner with product engineers to build a platform that enables them to ship quickly and turn feedback into robust abstractions. Improve reliability, security, performance, and cost efficiency for long-running agents. Deploy services that can operate across different environments and clouds. Your background might look something like: 9+ years of professional engineering experience, excluding internships, in relevant roles at technology and product-driven companies. Experience leading large-scale backend, platform, or infrastructure projects from ambiguous problem statements to production systems. Proficiency in one or more backend languages such as Python, Go, Rust, TypeScript, or similar, and the ability to move across service, platform, and product boundaries. Strong understanding

About the Team At OpenAI, we’re building the connective tissue between our mission and our people. People Innovation Labs is a fast-moving engineering team embedded in the People organization, focused on rethinking how we find and retain the best talent and empower everyone to do their best work. From recruiting to culture, we’re designing systems that give our People Team a significant edge by infusing OpenAI’s models and first-principles thinking into every aspect of our work. Our projects range from greenfield 0-1 products like OpenHouse (our internal knowledge hub) to AI-powered automations and scalable recruiting tools. We’re defining the future of work at OpenAI, creating a blueprint for how AI can supercharge productivity, culture, and innovation. About the Role We are looking for a self-starter engineer who loves building new products in an iterative and fast-moving environment. This team is for full stack product engineers who are deeply curious about culture, recruiting and people development, and want to know everything from the business strategy and metrics down through the code that gets us there. In this role, you will work with members of the People Team and leaders across the company to build software focused on HR, culture and recruiting from the ground up. You’ll also innovate on how we apply LLMs in these domains. In this role, you will: Own the full product development lifecycle for new people products end-to-end Talk to internal stakeholders to understand their problems and design solutions to address them Work with the research team to share relevant feedback and iterate on applying their latest models Collaborate with a cross-functional team of engineers, HRBPs, recruiters, researchers, product managers, designers, and people in operations to create cutting-edge products Your background might look something like: 4+ years of professional engineering experience (excluding internships) in relevant roles at tech and product-driven companies Forme

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: Freddie Mac’s Finance Division is seeking curious, motivated Accounting & Finance Interns to gain entry-level, hands-on experience in accounting, finance, business analysis, and the mortgage industry. We are accepting applications for this position until 10/16/2026 Our Impact: Finance is an internal support organization that is instrumental in helping Freddie Mac achieve strategic objectives critical to establishing itself as a marketplace leader. We support business areas with financial analysis and data that inform decisions. As an intern, you will see this impact firsthand through meaningful work in the Finance Division. Your Impact: Support accounting activities related to “closing the books” and producing accurate GAAP financial statements. Develop your business understanding by reporting on and analyzing data. Assist in preparing unbiased financial reports on business performance for internal management. Gain an understanding of specialized areas of the Finance Division and related areas of the company. Contribute to projects that help solve business problems with guidance from experienced team members. Collaborate with colleagues to execute projects, share knowledge, and build relationships. Qualifications: Pursuing a bachelor’s degree in accounting, Finance, Economics, Business Administration, or a related field Current junior in college or rising senior at the time of the internship <