Interns in San Francisco

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. We would love to hear from you! We are always looking to connect with people who are passionate about our Mission. If you don’t see an open role that matches your background and interests, please apply here and let us know what you are looking for in your next career move. We would love to hear from you! We will review your background and keep you in mind as we open future opportunities. Compensation & Benefits (Full-Time Employees) The salary range for this role is listed above. Final salary offered is based upon multiple factors including individual job-related qualifications, education, experience, knowledge and skills. At HP IQ, we offer a competitive and comprehensive benefits package, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) Why HP IQ? HP IQ is HP’s new AI innovation lab, bu

Pharmacy Intern — CA - San Francisco. Apply via Workday.

National Security Hackathon Attendees – Stay Connected with Scale AI This posting is for candidates who attended National Security Hackathon and connected with a member of the Scale AI team. It was great meeting you at the Hackathon! Whether we spoke at our booth or on the floor, we always enjoy connecting with people who are passionate about advancing AI and machine learning. At Scale AI, our mission is to develop reliable AI systems for the world's most important decisions. For the past ten years, Scale has been the leading AI data foundry, supporting some of the most exciting advancements in AI, including generative AI, defense applications, robotics, and autonomous systems. We’re continuing to grow our team across a range of technical and mission-focused roles. If you're excited about the problems we’re tackling, feel free to share your information here. A member of our team will reach out if there’s a strong fit with one of our open opportunities. And even if the timing isn’t right today, we’d love to stay connected. We look forward to continuing the conversation. In the meantime, you can learn more about our work at scale.com . Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: c

About the Team At DoorDash, we’re reimagining how people connect with the things they need — whether it’s a meal, a grocery run, and anything in between. Our audiences — Consumers, Dashers, and Merchants — are at the heart of everything the Design org builds. Our content design team plays a big part in this, with each content designer shaping the experience and bringing our vision to life through clear, thoughtful language that makes our three-sided marketplace easier, faster, and more human. About the Role We’re looking for a full stack UX Design Engineer to be the technical backbone of our global Content Design org and leader who builds the platforms, tooling, and ML systems that make world-class, localized product content effortless across DoorDash, Wolt, and Deliveroo. You’ll work at the intersection of design and engineering to build content tooling and embed LLM-driven workflows into product experiences. You’ll accelerate content design AI tooling so that CD’s can focus on the highest leverage strategic work, while your tools enable product designers and cross functional partners to ship high-quality content faster across DoorDash, Wolt, and Deliveroo. You're excited about this opportunity because... Design and build internal content tools that: Help PMs and designers generate, manage, localize, and deploy product content at scale. Plug custom GPTs and other LLMs into everyday product workflows for content iteration and improvements. Own full-stack development of these tools: Build and maintain frontend experiences using React and modern JavaScript/TypeScript. Design and implement backend services and APIs (e.g., Kotlin/Java) to support content tooling, experimentation, and automation. Integrate tooling with experimentation and infra: Embed content tools into A/B testing platforms so teams can test and ship variants with minimal engineering dependency. Build pipelines from variant generation → experiment → automated deployment of winners. Operationalize

Scale's LLM post-training platform team builds our internal distributed framework for large language model training. The platform powers MLEs, researchers, data scientists, and operators for fast and automatic training and evaluation of LLMs. It also serves as the underlying training framework for the data quality evaluation pipeline. Scale is uniquely positioned at the heart of the field of AI as an indispensable provider of training and evaluation data and end-to-end solutions for the ML lifecycle. You will work closely with Scale’s ML teams and researchers to build the foundation platform which supports all our ML research and development works. You will be building and optimizing the platform to enable our next generation LLM training, inference and data curation. If you are excited about shaping the future AI via fundamental innovations, we would love to hear from you! You will: Build, profile and optimize our training and inference framework. Collaborate with ML and research teams to accelerate their research and development, and enable them to develop the next generation of models and data curation. Research and integrate state-of-the-art technologies to optimize our ML system. Ideally you’d have: Passionate about system optimization Experience with multi-node LLM training and inference Experience with developing large-scale distributed ML systems Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc. Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc. Strong written and verbal communication skills to operate in a cross functional team environment. Nice to haves: Demonstrated expertise in post-training methods and/or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and multimodal, etc. Compensation packages at Scale for eligible roles include base salary, equity,

Scale’s ML platform (RLXF) team builds our internal distributed framework for large language model training and inference. The platform has been powering MLEs, researchers, data scientists and operators for fast and automatic training and evaluation of LLM's, as well as evaluation of data quality. Scale is uniquely positioned at the heart of the field of AI as an indispensable provider of training and evaluation data and end-to-end solutions for the ML lifecycle. You will work closely across Scale’s ML teams and researchers to build the foundation platform that supports all our ML research and development. You will be building and optimizing the platform to enable our next generation of LLM training, inference and data curation. If you are excited about shaping the future AI via fundamental innovations, we would love to hear from you! You will: Build, profile and optimize our training and inference framework Collaborate with ML teams to accelerate their research and development and enable them to develop the next generation of models and data curation Research and integrate state-of-the-art technologies to optimize our ML system Ideally you’d have: Strong excitement about system optimization Experience with multi-node LLM training and inference Experience with developing large-scale distributed ML systems Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc. Strong written and verbal communication skills and the ability to operate in a cross functional team environment Nice to haves: Demonstrated expertise in post-training methods &/or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and multimodal, etc. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the positi

About the Team Come help us build and develop tools serving hundreds of engineers internally! We’re looking for a Fullstack Software Engineer to join our Developer Insights team. About the Role Our mission is to improve the developer experience of engineers at DoorDash by building various internal products, including our internal developer portal, Developer Insights. Our success as a platform team depends on the success of the product teams we serve. Because of this, we invest in building a strong community that encourages participation and promotes best practices. You’re excited about this opportunity because you will… Introduce cutting edge technologies to our engineering organization, including tools built on LLMs Build new features for Developer Insights (using Backstage.io) Improve the developer experience for all of our engineers Work and collaborate across team boundaries. Contribute features and bug fixes to upstream open-source projects. Mentor and educate your peers. Lead the team in a technical fashion and assist in roadmap planning and measurement of existing features. Represent the team at large in OKR and engineering all-hands presentations. Context switch from frontend to backend to data depending on the need that arises. We’re excited about you because… You have at least 2 years of experience in web technologies using Typescript with React on the frontend with Java, Kotlin, Python or Go backend experience. You have a product mindset and apply that to how you would build out platform services. You love systems and software, and you're proficient in both. You’re curious and dive deep into different system architectures. You are an organized and excellent written and verbal communicator. You have proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software Compensation The successful candidate’s starti

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . We’re looking for a highly organized, tech-savvy, and proactive litigation paralegal to join Reddit’s Legal team. In this role, you will be the primary paralegal and operational lead supporting Reddit’s Employment, IP, and General Litigation teams. This role is ideal for someone who is equally comfortable handling day-to-day matter support and scaling systems to make a growing litigation function run better. You should be excited to own core litigation support workflows, improve processes, manage discovery and preservation work-streams, and help Reddit use legal technology and AI thoughtfully to increase efficiency. Location : Hybrid. This role is remote; however, the successful candidate must be able to work from our San Francisco office approximately once a week. What You’ll Do: Serve as the lead paralegal supporting Reddit’s employment, IP, and general litigation dockets. Own core case support workflows, including matter intake, trackers, calendaring, document management, deadline tracking, and matter closeout. Coordinate with outside counsel on filings, discovery, document collection and production, invoices, and day-to-day matter administration. Own and manage Reddit’s legal hold and preservation process, including drafting legal hold notices, issuing and tracking legal holds, and managing preservation activities within various systems to ensure the preservation of potentially relevant information. Lead and assist with e-discovery matters, including initiating and managing data collections

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The Media Experience team exists to empower users to discover, consume, and engage with the best media content on Reddit. We do that by making video consumption intuitive and engaging. Because video is a powerful medium for community connection, our goal is to ensure our video experience is best-in-class for every user. Our north star is growing video views and video users . These are users who consistently return to Reddit for the unique, authentic content that fuels our communities. Achieving this level of consistent engagement requires a product flywheel that surfaces the right video features, UI optimizations, and playback improvements at the right moment to accelerate organic engagement. We use data, Quality of Experience (QoE) signals, and rapid product experimentation to identify and resolve any friction preventing a seamless viewing experience. We move with urgency, instrument everything, and treat a missed engagement milestone as a signal to learn from, not a number to ignore. If you want to build iOS video experiences that measurably change the trajectory of tens of millions of users and improve the overall engagement of Reddit itself, this is your team. What you’ll do: 🚀 Drive the Technical Strategy for Media Engagement Lead the iOS architecture for user-facing features that boost video discovery and consumption. You’ll design and build immersive viewing surfaces and intuitive UI/UX flows that directly maximize watch time, user retention, and daily active video consumers. 🔬 Champion for User Experience With

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . We are seeking a senior leader to lead Revenue Strategy & Operations for Reddit’s Global Large Customer Sales (LCS) channel. This role will serve as the operating partner to the global LCS leadership team, helping translate company and channel strategy into clear goals, disciplined execution, and measurable revenue outcomes across regions, verticals, and customer segments. You will own the strategy and operations that drive LCS growth—from annual and quarterly planning through weekly performance management, forecasting, resource allocation, and execution of the highest-impact growth initiatives. You will partner closely with Sales, Finance, Marketing, Product, Business Operations, and other cross-functional leaders to improve sales productivity, unlock new pockets of demand, and scale a globally consistent go-to-market model. This is one role that will lead Strategy & Operations for the Global Large Customer Sales channel. The role is required to be based within commuting distance (50mi) of one of our North America sales hubs in San Francisco, Los Angeles, Chicago, New York, or Toronto. Responsibilities: Serve as a trusted strategic partner to the Global LCS leadership team, shaping channel strategy, priorities, operating model, and investment decisions. Lead the annual and quarterly planning processes for Global LCS, partnering with Finance as well as regional and vertical sales leaders to build credible goals, capacity plans, coverage models, and resource recommendations. Establish and run the global business

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. Lyft is in a defining moment — from turnaround to international growth, from traditional rideshare to the autonomous future — and how we build, organize, and lead our people will determine how well we get there. As Vice President, People, you will help drive the business forward through the strength of our people strategy, serving as a right hand to our Chief People Officer and a trusted advisor to Lyft's executive leadership team. This is a high-impact role for a seasoned people executive who operates at altitude and on the ground in equal measure, thrives in fast-paced, dynamic environments, and is energized by the chance to own some of the most complex and consequential work in the function. Reporting to the Chief People Officer, you will lead the People Business Partner organization, own workforce planning for the enterprise, and drive the human capital strategy behind Lyft's M&A activity from diligence through integration. You'll partner directly with the executive leadership team, represent the People function in cross-functional forums, and shape the org design, structure and ways of working that will carry Lyft into its next chapter. You'll anticipate challenges, help leaders look around corners, and bring forward-thinking solutions to keep Lyft's workforce agile, engaged, and ready for the future while shaping how the People function itself grows from here. Join us and help shape the future of work at one of the most mission-driven, people-focused companies redefining mobility. Responsibilities: Executive Partnership & People Strategy Partner directly with the Chief People Officer and executive leadership team on the people strategy behind Lyft's most significant business decisions, acting as a trusted advisor and bringing best-in-class practices to enable growth. People Business Par

About the Team DoorDash Labs is an independent team within DoorDash. We're hiring a backend software engineer to work at the intersection of software engineering and robotics to solve key business problems with elegant technical solutions. If you have a passion for applying robotics solutions to a service loved by millions of people, then we want to talk to you! About the Role We’re looking for Backend Engineers to work on both Product and Product Platform based teams in DoorDash Labs. Product focused Engineers work at the intersection of product and infrastructure to solve key business problems with elegant technical solutions. You'll operate our backend services and architecture that support all product functionality and will be challenged to consider the big picture -- collaborating cross-functionally, as well as evaluating and executing on trade-offs to maximize business impact for the company. You're excited about this opportunity because you will... Design and implement backend services for IoT that integrates with core DoorDash data, focused on reliability, and future extensibility Create a well documented APIs for other departments to integrate with Improve performance, reliability, scalability and security for our backend systems Introduce tools and best practices to accelerate our development process Design and implement backend services for autonomous delivery system that integrate with core DoorDash data. We're excited about you because you have... B.S., M.S., or PhD. in Computer Science or equivalent 6+ years of industry experience as a software engineer Experience with backend for frontend architecture Ability to improve efficiency, scalability, and stability of multiple system resources Experience with service oriented architecture, writing REST API’s, unit testing, and architectural design Understanding of modern web stacks and architecture (HTTP, REST) Experience with SQL Experience with either Java or Kotlin Nice to Have Experience with

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As an IT Service Desk Engineer on our IT team, you'll own the end-to-end onboarding operations experience that sets every new hire up for success on Day 1. This role sits at the center of how Coinbase scales onboarding support globally, partnering across IT, People Ops, Engineering, and Security to deliver a consistent, high-quality experience. You'll run the day-to-day support operations, maintain the documentation and workflows that power onboarding, and drive automation that reduces friction while keeping quality high. What you'll do: Own new hire onboarding support operations, including Slack-based troubleshooting, Day 1 issue resolution, and facilitated sessions for high-touch or specialized cohorts Manage the global onboarding support rotation, ensuring regional coverage and readiness, and train rotating team members on onboarding standards and processes Lead intake, triage, and escalation of onboarding-related requests through ticketing systems, coordinating with partner teams to resolve blockers impacting new hires Maintain the Computer Setup Guide and onboarding knowledge base, ensuring documentation stays accurate and aligned with live UI, system behavior, and operational workflows Drive onboarding workflow improvements by identifying repetitive issues and piloting low-code automations, bots, and AI-assisted support motions that reduce manual work at

About the Team The Customer Experience team serves as a foundational operations pillar at DoorDash, dedicated to resolving friction within the last mile. We architect and oversee an expansive global network of support centers — spanning both teammate-assisted and AI-driven support — obsessing over the user journey to ensure every interaction is seamless and reliable. As the analytics team, our mission is to make every support interaction measurably better: we define what a great resolution looks like, quantify where we fall short, and turn that into a roadmap for product, operations, and AI/ML partners. We are looking for a Manager to lead and grow the analytics team behind our core support experience. About the Role As a Manager on the Customer Experience Analytics team, you'll set the analytical vision for how DoorDash measures and improves customer resolutions across our global network of support teammates and their interactions with our customers. You'll lead and grow a team of data scientists working at the intersection of customer experience quality and operational cost — uncovering opportunities to drive perfect interactions and informing improvements to teammate tooling that leverages AI-driven resolutions. You'll establish a clear measurement framework for resolution quality, own insights to drive strategy and roadmap, and align partners across CX, Product, Engineering, Operations, and AI/ML. This is a high-visibility leadership role: success means better outcomes for customers, a more effective support organization, and a team of data scientists who are growing in their craft. You're excited about this opportunity because you will… Lead, grow, and develop a team of data scientists — providing mentorship, feedback, and clear career development pathways. Set the analytical vision for the core support experience, defining what a great customer resolution looks like and building the metrics to measure it. Uncover opportunities to drive perfect interactions, tr

About the Team At DoorDash we’re building the industry’s most scalable and reliable delivery network to support our three-sided marketplace of consumers, merchants, and dashers. TPMs on our Engineering teams provide fundamental support to the underlying technology services as well as the engineers building these services. It’s no simple task, but it wouldn’t be interesting if it was! About the Role Platform Services is one of DoorDash’s organizations responsible for extending DoorDash beyond the consumer marketplace. The team owns three distinct business lines: Drive, a white-label delivery API that enables external businesses to access DoorDash’s delivery network; Parcels, which provides last-mile logistics for retailers and merchants; and Enterprise (DoorDash for Business), a b2b product suite powering corporate meal programs and large ordering for organizations of all sizes. We are looking for a Senior Technical Program Manager to help scale Platform Services. You will lead important engineering wide initiatives across Enterprise, Drive, and Parcels, working with Engineering, Product, Operations, and business leaders to deliver dependable, extensible logistics capabilities for external businesses. Programs will span backend services, partner and merchant integrations, operational tooling, and platform interfaces. They require strong technical judgment, cross organizational coordination, stakeholder management, and ownership of results. You will report into the centralized Technical Program Management team in Engineering. You're excited about this opportunity because you will… Drive Platform Services’ Most Strategic Programs - You will partner closely with Engineering and Product leadership, Strategy & Operations, and cross-functional teams to turn Platform Services’ strategy into executable technical programs. The portfolio spans Drive (DoorDash’s white-label delivery offering), Parcels (last-mile logistics for merchants and retailers), and Enterprise (DoorDa