Software Engineering Internship at Exa | San Francisco

Sieve is an AI research lab based in San Francisco, focused on large-scale video data. The team builds and maintains infrastructure capable of handling exabyte-scale video, while developing advanced methods for video understanding. Sieve also curates extensive and diverse datasets to support new approaches in video modeling. With video now accounting for a significant portion of internet traffic, the company aims to remove barriers to high-quality training data for fields like creativity, communication, gaming, AR/VR, and robotics. The company recently completed its Series A and is backed by investors including Matrix Partners, Swift Ventures, Y Combinator, and AI Grant. Sieve has worked with leading AI labs and continues to grow, generating $XXM last quarter with a small team of 15. Role overview The Software Engineering Intern at Sieve works across the stack to help build and scale data pipelines that deliver video datasets to clients. This role involves taking full ownership of projects, from sourcing and curating video data to developing machine learning filters, improving system efficiency, and building internal dashboards for quality assurance and delivery. The work directly impacts the timely delivery of high-quality data to customers. What you will do Build and scale data pipelines for delivering video datasets Source and curate video data for a range of applications Develop and refine machine learning filters to enhance data quality Improve system efficiency and reliability Create internal dashboards for quality assurance and delivery tracking Who thrives here This internship is well suited to those who enjoy solving complex technical problems, want to collaborate directly with customers at the forefront of Video AI, and seek meaningful challenges in a high-performance setting.

About SieveSieve stands as a pioneering AI research lab dedicated solely to video data. Our innovative approach integrates exabyte-scale video infrastructure with state-of-the-art video understanding techniques and a myriad of data sources, creating unparalleled datasets that redefine video modeling. With video accounting for 80% of global internet traffic, it has become the vital digital medium fueling creativity, communication, gaming, AR/VR, and robotics. At Sieve, we aim to eliminate the most significant bottleneck hindering the expansion of these applications: access to high-quality training data.With strategic partnerships with leading AI labs, our team of just 12 has achieved remarkable financial success, generating $XXM last quarter alone. Earlier this year, we secured Series A funding from elite firms including Matrix Partners, Swift Ventures, Y Combinator, and AI Grant.About the RoleAs we process petabytes of video across numerous nodes and cloud environments, ensuring reliability, observability, and security is essential to our growth.We are seeking our inaugural Reliability Engineer, who will focus entirely on fortifying the infrastructure that underpins Sieve. This role demands high ownership and a deep understanding of:System throughput and stabilityMonitoring and incident managementSecurity principles, including least-privilege designMinimizing operational burdens for the entire engineering teamYou will collaborate closely with our CTO and founding engineers to develop the foundational tools that empower our engineering efforts.This position is ideal for an engineer who is passionate about reliability, throughput, observability, and security. You are proactive in anticipating potential failure modes, reducing operational risks, and designing resilient systems.If a system failure occurs, you take it personally, thriving under the weight of responsibility.What You'll Be DoingCollaborate with engineering to design and validate infrastructure supporting PB-scale workloadsDevelop and manage Terraform-based multi-cloud deploymentsEnhance cloud and data security (SSO, IAM, least privilege access, auditability)Lead incident response efforts and strengthen systems against failuresCreate CI/CD systems to minimize user errors and maximize safetyEstablish monitoring and alerting frameworks (Prometheus, OpenTelemetry, VictoriaMetrics)

About UsSieve is a pioneering AI research lab dedicated solely to harnessing the potential of video data. Our innovative approach combines massive exabyte-scale video infrastructure with cutting-edge video understanding techniques and a multitude of data sources, allowing us to create datasets that redefine video modeling. Given that video comprises 80% of internet traffic, it serves as a vital digital medium fueling creativity, communication, gaming, AR/VR, and robotics. At Sieve, we aim to eliminate the primary bottleneck hindering the growth of these applications: the need for high-quality training data.In just a small team of 15, we've collaborated with leading AI labs and generated $XXM in revenue last quarter. Our growth has been supported by our Series A funding from top-tier firms such as Matrix Partners, Swift Ventures, Y Combinator, and AI Grant.About the RoleAs a Software Engineer at Sieve, you will play a pivotal role in developing and scaling the data pipelines that produce the datasets we provide to our customers. You will take full ownership of projects from inception to deployment: managing data sourcing and curation, developing machine learning filters, enhancing system efficiency, and creating internal dashboards for quality assurance and delivery. Your contributions will be essential in ensuring that our customers receive timely and high-quality data consistently.This position is perfect for individuals who excel at tackling challenging problems, enjoy direct customer engagement, and aspire to push the boundaries of Video AI technology.

Sieve is a 15-person AI research lab in San Francisco focused on video data. The team builds exabyte-scale video infrastructure and develops new approaches for video understanding, drawing from diverse data sources to create advanced datasets. With video now accounting for most internet traffic, Sieve aims to solve the challenge of delivering high-quality training data for applications in creativity, communication, gaming, AR/VR, and robotics. The company partners with leading AI labs and has achieved strong financial results, backed by Series A funding from Matrix Partners, Swift Ventures, Y Combinator, and AI Grant. Internship overview The Applied Research Engineering Intern will help build high-performance components and large-scale pipelines to advance video understanding at internet scale. This role involves tackling ambiguous research problems and turning them into practical solutions. Projects often cover computer vision, audio processing, and text processing. What you will do Develop and optimize models and APIs for video, audio, and text data Improve performance through pre- and post-processing, parallelism, pipelining, and inference optimization Occasionally fine-tune models for specific tasks Work through open-ended research challenges with a small, focused team Who succeeds here Comfortable working with machine learning models and APIs Skilled at optimizing systems for speed and accuracy Enjoys solving ambiguous technical problems across computer vision, audio, and text domains

About UsAt Sieve, we are pioneering the future of AI by being the only research lab solely dedicated to video data. Our unique approach integrates exabyte-scale video infrastructure, cutting-edge video comprehension techniques, and a multitude of data sources to create datasets that redefine the boundaries of video modeling. With video constituting 80% of internet traffic, it has become the essential digital medium for creativity, communication, gaming, AR/VR, and robotics. Our mission is to address the critical challenge hindering the growth of these applications: acquiring high-quality training data.Having partnered with leading AI laboratories, our team of just 15 individuals generated $XX million last quarter, and we successfully secured Series A funding from prestigious firms such as Matrix Partners, Swift Ventures, Y Combinator, and AI Grant.About the RoleAs a Product Engineer at Sieve, you will be at the forefront of developing our video collection platform: a system designed to compensate contributors for submitting video recordings.You'll engage in full-stack development, covering frontend, backend, systems, and mobile, to swiftly deliver products, enhance reliability, and scale the platform to support millions of users. Additionally, you will create internal tools that enable the team to efficiently source, review, and deliver high-quality data. You will take ownership of projects from start to finish.This position is perfect for individuals who thrive in a high-ownership environment, enjoy building products with rapid feedback loops, and want to contribute directly to the core engine driving advanced video AI.What You’ll DoDevelop and scale a production product used by contributors, partners, and internal teams.Deliver full-stack features encompassing frontend, backend APIs, and supporting systems.Implement mobile features that facilitate easy video capture and submission.Enhance reliability, performance, and developer velocity across the platform.Create internal tools and workflows to ensure operations, QA, and delivery are swift and consistent.Collaborate closely with customers and operators to translate requirements into product features and iterate on them.RequirementsProficient full stack engineer capable of taking projects from concept to production.Expertise in TypeScript with modern frontend experience (React/Next.js preferred).Experience with mobile development in React Native, particularly for media capture or upload workflows.Backend development experience in Python or Go, with a solid understanding of API and database fundamentals.Comfortable working across both product and systems domains.

Join Our Pioneering TeamAt Sieve, we are trailblazers in the realm of AI research, specifically dedicated to harnessing the power of video data. Our cutting-edge infrastructure processes exabyte-scale video, utilizing innovative video understanding methodologies, and integrating diverse data sources to create groundbreaking datasets that redefine video modeling. With video accounting for a staggering 80% of global internet traffic, it stands as the cornerstone of digital creativity, communication, gaming, AR/VR, and robotics. Our mission is to eliminate the primary barrier to the growth of these technologies: the scarcity of high-quality training data.Having collaborated with leading AI laboratories, we achieved $XXM in revenue last quarter alone with a compact team of just 15 talented individuals. Our successful Series A funding round last year, backed by prestigious firms such as Matrix Partners, Swift Ventures, Y Combinator, and AI Grant, underscores our potential for exponential growth.The Role You’ll PlayAs an Applied Research Engineer at Sieve, you will be instrumental in constructing high-performance building blocks and expansive pipelines to achieve high-precision video comprehension at internet scale. Your role will often involve tackling ambiguous research challenges and devising ingenious solutions. You will engage with domains including computer vision, audio processing, and text processing.The ideal candidate will possess a strong command of models and APIs, leveraging innovative pre/post-processing techniques, parallelism, pipelining, inference optimization, and occasional fine-tuning to maximize performance.

Netic stands at the forefront of artificial intelligence innovations, empowering essential services that serve as the backbone of the American economy.With an impressive $43 million in funding from renowned investors such as Founders Fund, Greylock, Hanabi, and Dylan Field, who spearheaded our Series B, we've enabled our clients to secure numerous jobs across various service industries in North America. Today, there are businesses that operate solely on an AI-first approach using Netic.Join our dynamic team comprised of relentless builders from top companies like Scale, Databricks, HRT, Meta, along with graduates from prestigious institutions like MIT, Stanford, and Harvard, as we integrate frontier AI into the physical economy, tackling complex challenges with immediate and tangible impacts.At Netic, we create features that empower businesses through AI. As an intern, you will receive dedicated mentorship guiding you through the entire process of supporting customers, launching features, and iterating swiftly.This internship spans 12 weeks and is set to commence in the Summer of 2026 or earlier.

This position offers flexibility for both Remote (US) and in-person roles based in San Francisco, CA.About OliveAt Olive, we’re revolutionizing how companies develop internal tools by enabling them to articulate their needs using natural language.From dynamic sales dashboards to comprehensive trust & safety workflows, internal tools serve as the operational backbone for today’s enterprises. However, creating these tools has traditionally been a slow and tedious process that drains engineering resources.Olive changes the game by transforming simple prompts into fully functional, full-stack internal tools connected to organizational data in mere minutes. Our innovative platform harnesses the power of large language models (LLMs) and advanced code generation techniques to deliver production-ready tools that provide unprecedented insights and operational efficiency.With a successful $2.1M seed funding round from top-tier investors and angel backers, we are on an exciting trajectory to scale our talented team.This role presents an exceptional opportunity to contribute to a challenging yet impactful project, characterized by speed and a strong focus on delivering results. If this sounds exciting to you, we encourage you to apply.The RoleWe are seeking a highly motivated Software Engineering Intern to join our team for the upcoming summer (or fall/spring semester). You will collaborate closely with our founders, engage across the tech stack, and explore the boundaries of robust full-stack software development leveraging AI. This is a paid internship.In this role, you will play a critical part in building on our LLMs and agentic workflows to facilitate code generation, deployment, and tool utilization for enterprise applications. By the end of the internship, you will have developed significant features and functionality that will make a tangible difference.Our team is vibrant, hardworking, and supportive, always prioritizing the customer experience to craft delightful product interactions.

Join our dynamic core engineering team at AfterQuery, where you'll play a pivotal role in developing cutting-edge data infrastructure that will influence the advancement of frontier AI models. This position offers substantial responsibility, allowing you to oversee entire projects from inception to completion—providing immediate visibility of your contributions.Company OverviewAfterQuery is an innovative research lab at the forefront of artificial intelligence, exploring its limits and potential through unique datasets and experiments. Our primary clientele consists of foundation model labs, making us a vital partner for leading AI research labs worldwide.Headquartered in San Francisco, CA, we have garnered support from top-tier investors including Y Combinator, BoxGroup, and former partners from Lightspeed and Index Ventures, as well as prominent figures from Google DeepMind and Meta GenAI.Our founding team is composed of experts from prestigious organizations such as Jane Street, Meta, Citadel Securities, Google, Goldman Sachs, Morgan Stanley, Silver Lake, and leading AI research institutions like Berkeley AI Research (BAIR) and Stanford AI Laboratory (SAIL).Why You Should ApplySignificant Growth Potential: As one of the fastest-growing YC companies, we are poised to set records in our sector.Founding Role: Take charge of our data infrastructure from day one and leave your mark.Exceptional Team: Collaborate with a founding team that boasts experience from top firms like Citadel Securities, Meta, and Google.Key ResponsibilitiesDesign and implement complex data capturing workflows across web (Next.js) and desktop (Python) environments.Architect and enhance data pipelines to handle high throughput and heavy loads efficiently.Work closely with the founding team to shape product strategy and rapidly deploy features.Establish engineering best practices and prepare for future team expansion.Essential QualificationsMust be able to take a gap semester and work on-site in San Francisco.Proficient in JavaScript (Next.js) and Python, with a proven track record of developing full-stack web applications.Experience with serverless architecture and cloud services (GCP/AWS) for intensive data processing.Familiarity with caching (Redis), indexing (Elasticsearch), and message queues (Kafka) is a plus.

About TacitTacit is an innovative deep tech startup located in the heart of San Francisco, pioneering hardware solutions that redefine human-computer interaction. Supported by prominent investors such as General Catalyst, Khosla Ventures, and Greylock Partners, our founding team comprises experts from esteemed organizations like Stanford, BrainGate, Oculus, and Tesla. While our groundbreaking products are still under wraps, our team is dedicated to tackling formidable engineering challenges to revolutionize the tech landscape.About the RoleWe are looking for an enthusiastic Software Engineering Intern to contribute to the development of the next generation of human-computer interfaces. This internship offers invaluable hands-on experience in both front-end and back-end development, focusing on creating user-centric applications and aiding internal research processes. You will collaborate closely with a talented team of engineers, designers, and researchers to bring innovative interaction paradigms to fruition.Key ResponsibilitiesDesign and implement applications for web, mobile, and embedded clients that interface with our hardware.Build backend services for real-time interaction and seamless data streaming.Develop internal tools for data labeling, visualization, and debugging purposes.Rapidly prototype new user experiences utilizing novel input methods.Collaborate with full-time engineers to deploy stable, high-performance software solutions.Document engineering insights and articulate design decisions effectively.Preferred QualificationsProficiency in Python, TypeScript, React, Linux, and command-line development.Demonstrated ability to work independently, with a strong sense of flexibility and resourcefulness.Excellent communication and teamwork skills.Ability to thrive in a fast-paced startup environment, with a keen interest in independent project development.CompensationHourly compensation will be determined based on your individual skills and experience.

About CluelyAt Cluely, we are revolutionizing the way people interact with AI by providing unparalleled advantages in diverse situations. Our innovative desktop assistant leverages screen, microphone, and audio context to deliver insights and suggestions that traditional models fail to offer due to contextual limitations.Our success hinges on two key factors:1) Chatbots are not the ideal interface for multi-modal AI.2) We possess the ability to make anything go viral.About the RoleAs an Engineering Intern at Cluely, you will be immersed in a dynamic environment where our engineering team works six days a week in-person in San Francisco, dedicating 10-12 hours each day. We provide housing within a block of the office to ensure your convenience and focus.Our engineering team comprises both seasoned professionals and ambitious young talent, creating a unique blend of skills and creativity. For more insights into our team, check out this link.Ideal Candidate ProfileYou are among the top engineers globally.You are willing to invest your life in the pursuit of greatness.

Join Condor Software as a Full-Stack Platform EngineerAt Condor, we are revolutionizing the financial infrastructure that supports clinical development. With billions invested annually in discovering and developing new therapies, we strive to connect clinical operations and finance into a cohesive system. By integrating real-time financial intelligence, we empower R&D and finance leaders with the tools they need to make informed, high-stakes decisions.We are an AI-driven, pharma-native infrastructure provider, scaling industry standards in collaboration with top-tier partners. Our platform facilitates prediction, control, and execution in the most complex R&D environments worldwide.The Importance of Your RoleHaving established ourselves as a trusted partner for enterprise teams, we are now focused on the challenging task of scaling our platform to meet increasing demands. As a rapidly growing company, backed by prominent investors like Felicis and 645 Ventures, this is a unique opportunity to contribute to the foundational infrastructure that will redefine how therapies reach patients.Your ResponsibilitiesAs a Full-Stack Platform Engineer, you will be pivotal in building and scaling the core platform that supports the financial intelligence infrastructure relied upon by leading biopharma companies. This role encompasses critical engineering tasks at the intersection of backend systems, cloud infrastructure, and intelligent automation, with a strong emphasis on reliability and scalability.Your primary focus will be on backend architecture, where you'll design and implement services that drive complex financial and operational workflows. You'll be instrumental in shaping data flow, workflow orchestration, and enabling emerging AI-driven capabilities. This role goes beyond simple integration; you'll be crafting robust primitives that support other teams as our product and customer base expand.Working as a core member of a cross-functional product team, you will closely collaborate with product managers, designers, quality engineers, and data specialists to transition features from concept to production. While backend expertise is crucial, you will also engage across the stack to ensure the platform's capabilities are effectively leveraged.

At Mechanize, we are pioneering the development of Reinforcement Learning (RL) environments tailored to train AI models for real-world applications. Our ambition is to facilitate the complete automation of the economy, partnering with leading AI laboratories. Discover more at mechanize.work.As a Software Engineering Intern at Mechanize, you will play a pivotal role in assisting our team to develop these groundbreaking RL environments. If you have a solid command of Python programming and possess a keen intellect, we would love to hear from you.We are currently seeking interns for Winter 2026, Spring 2026, and Summer 2026.No prior experience in machine learning or AI is necessary.Curious about our interview process? Learn more here: https://www.mechanize.work/how-our-interview-process-works/

About OliveAt Olive, we are revolutionizing the way companies build internal tools by enabling them to create sophisticated applications simply by expressing their needs in natural language.Internal tools are crucial for modern organizations, serving as the operational backbone for various functions, from sales dashboards to trust and safety workflows. Currently, the process of developing these tools is cumbersome and time-consuming, often draining engineering resources.Our innovative platform leverages advanced large language models (LLMs) and code generation techniques to assemble fully functional internal tools in mere minutes, seamlessly integrated with company data. This empowers businesses to gain deeper insights and enhance their operational efficiency.Having secured a $2.1M seed funding from esteemed investors and industry pioneers, we are now in an exciting phase of expanding our team.This position offers a unique chance to contribute to a transformative project that demands both skill and speed. If you are passionate about making a significant impact, we encourage you to apply.

SquareTrade delivers protection plans and insurance products to a large customer base. The Engineering team develops and maintains the systems behind these services, ensuring reliability and efficiency. Role overview The Software Engineer position in San Francisco centers on building and enhancing technology that supports SquareTrade’s commitment to customer service. This role involves tackling projects that promote technical growth and hands-on problem-solving. What you will do Contribute to the design, development, and maintenance of systems supporting SquareTrade’s services Work with other engineers to solve technical challenges and improve existing solutions Participate in projects that encourage learning and skill development Location This position is based in San Francisco.

Join our dynamic team at reteam as a Software Engineer in the vibrant city of San Francisco! We are seeking innovative and driven individuals to contribute to our technology initiatives.In this role, you will have the opportunity to work on exciting projects that push the boundaries of software development.

About the Role Stripe is building technology that supports businesses worldwide. The San Francisco engineering team is looking for a Software Engineer to help improve our platform and deliver new features for our customers. What You Will Do Collaborate with other engineers to design and build new systems Enhance existing products and infrastructure Contribute ideas to improve the Stripe platform Location This position is based in San Francisco, California.

Join Dryft as a Full-Stack Engineering Intern!About Us: At Dryft, we develop advanced systems designed to streamline intricate human decision-making processes in manufacturing operations. Our compact yet highly skilled team is deeply rooted in a passion for the tangible world, embracing everything from cars and machines to aircraft. Our diverse group includes alumni from prestigious universities such as Stanford, Berkeley, MIT, and TUM, and boasts accolades from events like Stanford TreeHacks. We have engineered everything from robots and race cars to software with millions of downloads.Backed by visionaries from Amazon, Facebook, Stripe, Applied Intuition, and supported by investors like General Catalyst and Neo, our team is committed to innovation in industrial technology.At Dryft, we foster a culture of straightforward communication and direct feedback. We seek individuals who aspire to grow rapidly while taking on significant responsibilities.Your Role:As a Full-Stack Engineering Intern, you will play a crucial role in shaping Dryft's decision intelligence framework. You will design scalable systems that integrate agent-based reasoning, mathematical optimization, and simulations utilizing vast industrial datasets.This position allows you to work independently on dedicated projects, often collaborating directly with customers while receiving mentorship from experienced engineers who will guide you throughout your journey. Many of our foundational engineers have previously been integral members of venture-backed startups in the San Francisco area.Qualifications:You are passionate about creating scalable, interpretable, data-driven agents from multiple angles including algorithms, architecture, and infrastructure.You possess a keen product sense and thrive in direct daily interactions with customers.You have successfully shipped production code end-to-end, demonstrating strength in backend and infrastructure, while being comfortable implementing fundamental frontend features.You are prepared to work onsite in San Francisco (visa support is available).

Join Ironclad, the premier AI contracting platform that revolutionizes the way agreements are handled. Our platform accelerates contract processing, delivers instant insights, and empowers users with unparalleled control. Whether you are buying or selling, Ironclad integrates the entire process into a single intelligent platform, ensuring leaders maintain the visibility required to stay ahead of the curve. That's why leading organizations, including OpenAI, the World Health Organization, and the Associated Press, trust Ironclad to enhance their business operations.Recognized consistently as an industry leader, Ironclad has earned accolades such as being a Leader in both the Forrester Wave and Gartner Magic Quadrant for Contract Lifecycle Management. We are proud to be recognized by Fortune as a Great Place to Work and listed among Fast Company’s Most Innovative Workplaces. Additionally, Ironclad has been featured in Forbes’ AI 50 and Business Insider’s list of Companies to Bet Your Career On. We are backed by top-tier investors including Accel, Y Combinator, Sequoia, BOND, and Franklin Templeton. To learn more, visit www.ironcladapp.com or follow us on LinkedIn.This position operates in a hybrid model, requiring office attendance at least twice a week on Tuesdays and Thursdays for collaboration. Additional in-office days may be necessary for team or company events.Engineering @ IroncladAs a Software Engineer Intern at Ironclad, you will collaborate with various teams to identify and tackle business challenges by designing, building, and verifying innovative solutions. Your work will contribute to a platform that empowers legal teams to scale their operations effectively, modernizing a profession that has remained largely unchanged for two millennia.You will engage with a modern technology stack that includes TypeScript, React, Node.js, Java, and Docker containers in Kubernetes on Google Cloud Platform. While experience with these specific technologies is advantageous, it is not a requirement. We prioritize a collaborative work environment that fosters inclusivity and allows interns to contribute to real projects while receiving meaningful mentorship, rather than engaging in trivial tasks.About the roleWe are seeking enthusiastic Software Engineer Interns eager to learn and make a tangible impact by shipping real features. You will be integrated into a Product Engineering Team (such as AI, core product, workflow, or platform) and will work on projects that directly influence our customers worldwide.You will partner closely with full-time engineers, product managers, designers, and quality engineers to fully understand user problems and contribute to meaningful solutions.