sieve

About Us Sieve is the only AI research lab exclusively focused on video data. We combine exabyte-scale video infrastructure, novel video understanding techniques, and dozens of data sources to develop datasets that push the frontier of video modeling. Video makes up 80% of internet traffic and has become the enabling digital medium powering creativity, communication, gaming, AR/VR, and robotics. Sieve exists to solve the biggest bottleneck in growth of these applications: high-quality training data. We've partnered with top AI labs and did $XXM last quarter alone, as a team of just 15 people. We also raised our Series A last year from Tier 1 firms such as Matrix Partners, Swift Ventures, Y Combinator, and AI Grant. About the Role As an applied research engineer at Sieve, you’ll build high performance building blocks and large scale pipelines to understand video with high precision at internet scale. Often this involves working on ambiguous research problems and finding clever techniques to solve them. You will be working in the computer vision, audio processing, and text processing domains. You’re likely a good fit if you’re comfortable working with models + APIs and squeezing every drop of performance out of them through clever pre/post-processing, parallelism, pipelining, inference optimization, and occasionally fine-tuning. Requirements 2+ years of experience in computer vision or audio processing Strong Python developer with hands-on experience in PyTorch or similar ML frameworks Excellent communication skills, especially with customers and external teams Writes clean, maintainable code—bonus points for active GitHub or portfolio projects Deep passion for the video domain and media technologies Motivated by building end-to-end products—not just training models Able to break problems down from customer level impact to necessary building blocks. Bonus: Active contributor to open source projects Bonus: Experience as an early hire at a startup In-person at our SF HQ Benefits 401k + Full Health Insurance Breakfast, Lunch, and Dinner covered and your choice of snacks Ubers covered home

About Us Sieve is the only AI research lab exclusively focused on video data. We combine exabyte-scale video infrastructure, novel video understanding techniques, and dozens of data sources to develop datasets that push the frontier of video modeling. Video makes up 80% of internet traffic and has become the enabling digital medium powering creativity, communication, gaming, AR/VR, and robotics. Sieve exists to solve the biggest bottleneck in growth of these applications: high-quality training data. We've partnered with top AI labs and did $XXM last quarter alone, as a team of just 15 people. We also raised our Series A last year from Tier 1 firms such as Matrix Partners, Swift Ventures, Y Combinator, and AI Grant. About the Role As Data Operations Lead, you'll own the day-to-day execution and scaling of Sieve's data operations platform. This is a deeply operational and semi-technical role. You'll manage our human workforce, build and improve QA processes, handle people sourcing and onboarding, and drive product ops initiatives that make our platform more efficient. A major part of this role is growth: you'll run campaigns and experiments to expand the platform's user base, find new channels for sourcing, and drive adoption. This role is ideal for someone who is both a builder and an optimizer, someone who can get their hands dirty with tooling while also thinking strategically about how to scale a complex operational machine. What You'll Do Operate and scale Sieve's internal data ops platform, including workforce management, task assignment, and QA workflows Drive platform growth: run acquisition campaigns, test new sourcing channels, and grow the user base through creative and scalable strategies Source, onboard, and manage a distributed human workforce for data annotation, curation, and quality review Build and improve QA processes to ensure data output meets the standards required by frontier AI labs Own product ops for the data platform. Work with engineering to ship tooling improvements, track operational metrics, and identify gaps Create documentation, SOPs, and training materials for operational workflows Requirements Mixed technical and non-technical skillset, comfortable with data tooling, light scripting, and spreadsheet-level analysis Strong organizational skills and attention to detail; able to manage multiple concurrent work streams Growth mindset: experience running or contributing to user acquisition, sourcing campaigns, or platform growth efforts Bachelor's degree in CS, STEM, or equivalent practical experience In-person at our SF HQ Nice to Have Experience managing human-in-the-loop data operations or annotation pipelines At least 1 year of engineering experience or strong technical fluency Experience as an early hire at a startup or spearheading ops at an AI lab Familiarity with data quality frameworks or ML data pipelines Benefits 401k + Full Health Insurance Breakfast, Lunch, and Dinner covered and your choice of snacks Ubers covered home

About Us Sieve is the only AI research lab exclusively focused on video data. We combine exabyte-scale video infrastructure, novel video understanding techniques, and dozens of data sources to develop datasets that push the frontier of video modeling. Video makes up 80% of internet traffic and has become the enabling digital medium powering creativity, communication, gaming, AR/VR, and robotics. Sieve exists to solve the biggest bottleneck in growth of these applications: high-quality training data. We've partnered with top AI labs and did $XXM last quarter alone, as a team of just 15 people. We also raised our Series A last year from Tier 1 firms such as Matrix Partners, Swift Ventures, Y Combinator, and AI Grant. About the Role As a distributed systems engineer at Sieve, you’ll design and engineer systems that handle the compute, scheduling, and orchestration of complex ML + ETL pipelines that need to run quickly, reliably, and cost-effectively on large sums of video. You’re likely a good fit if you love optimizing for system uptime, have worked with cloud technologies, optimizing hyper-fast distributed systems at the scale of thousands of GPUs, and building great internal tooling and CI/CD for rapid iteration. Requirements 3+ years of experience building foundational data infrastructure Proficient in working across diverse cloud architectures Designed and maintained pipelines that process petabytes of data Developed robust CI/CD pipelines tailored for ML-focused teams Strong coding experience with Go and Python; Experience with Rust is a plus Operates as an IC who leads by example Experience with large-scale video data systems In-person at our SF HQ Benefits 401k + Full Health Insurance Breakfast, Lunch, and Dinner covered and your choice of snacks Ubers covered home

About Us Sieve is the only AI research lab exclusively focused on video data. We combine exabyte-scale video infrastructure, novel video understanding techniques, and dozens of data sources to develop datasets that push the frontier of video modeling. Video makes up 80% of internet traffic and has become the enabling digital medium powering creativity, communication, gaming, AR/VR, and robotics. Sieve exists to solve the biggest bottleneck in the growth of these applications: high-quality training data. We’ve partnered with top AI labs and did $XXM last quarter alone, as a team of just 15 people. We also raised our Series A last year from Tier 1 firms such as Matrix Partners, Swift Ventures, Y Combinator, and AI Grant. About the Role As a Product Engineer at Sieve, you'll build our video collection platform: a system that pays contributors for submitting video recordings. You'll work full-stack across frontend, backend, systems, and mobile to ship products quickly, improve reliability, and scale the platform in supporting millions of users. You'll also build internal tools that help the team source, review, and deliver high-quality data efficiently. You'll own projects end-to-end. This role is ideal for someone who enjoys building products with tight feedback loops, thrives in a high-ownership environment, and wants to work directly on the core engine powering frontier video AI. What You’ll Do Build and scale a production product used by contributors, partners, and internal teams. Ship full stack features across frontend, backend APIs, and underlying systems. Ship mobile features that enable easy video capture and submission. Improve reliability, performance, and developer velocity across the platform. Build internal tools and workflows that make operations, QA, and delivery fast and consistent. Work closely with customers and operators to translate needs into product and ship iteratively. Requirements Strong full stack engineer who can take projects from idea to production. Strong TypeScript + modern frontend experience (React/Next.js preferred). Mobile experience in React Native, especially for media capture or upload flows. Backend experience in Python or Go, with solid API and database fundamentals. Comfort working across product and systems concerns (reliability, performance, observability). Clear communicator who works well with cross-functional stakeholders. High ownership and urgency, including willingness to work late nights and weekends when needed. In-person at our SF HQ Bonus Experience as an early hire at a startup. History of shipping high-quality products with real users. Experience building simple tooling, including minimal internal APIs and Svelte dashboards Active GitHub or portfolio projects. Benefits 401k + Full Health Insurance Breakfast, Lunch, and Dinner covered and your choice of snacks Ubers covered home

About Us Sieve is the only AI research lab exclusively focused on video data. We combine exabyte-scale video infrastructure, novel video understanding techniques, and dozens of data sources to develop datasets that push the frontier of video modeling. Video makes up 80% of internet traffic and has become the enabling digital medium powering creativity, communication, gaming, AR/VR, and robotics. Sieve exists to solve the biggest bottleneck in growth of these applications: high-quality training data. We've partnered with top AI labs and did $XXM last quarter alone, as a team of just 15 people. We also raised our Series A last year from Tier 1 firms such as Matrix Partners, Swift Ventures, Y Combinator, and AI Grant. About the Role As a Product & Ops Lead, you'll be the primary face of Sieve to our customers, top AI labs building frontier models. You'll combine deep technical fluency with strong relationship skills to manage our most important accounts, drive revenue expansion, and translate customer needs into internal priorities. This role sits at the intersection of product, applied research, and customer engagement, and requires someone equally comfortable in a technical deep-dive as they are shaping roadmap priorities or navigating a commercial conversation. Relationships are central to this role. The strongest candidates will already be plugged into the AI lab ecosystem and have trust built with the people and teams we work with. What You'll Do Own and grow relationships with Sieve's top AI lab customers end-to-end, from onboarding through expansion Serve as the technical point of contact, understanding customer data pipelines, model training workflows, and how Sieve's datasets fit into their stack Translate customer feedback and requirements into clear internal briefs for engineering and data ops Drive renewals and upsells by identifying new dataset needs and partnership opportunities within existing accounts Collaborate closely with the partnerships, engineering, and data ops teams to ensure customer deliverables are met on time and at quality Contribute to sales processes for new customers including demos, technical scoping, and proposal development Requirements Strong understanding of ML/AI workflows, particularly around data pipelines and model training A natural relationship builder with a strong external network, especially across AI labs and frontier model companies Excellent communication skills, able to translate between engineering and business audiences fluently Comfortable with ambiguity and moving fast in a startup environment In-person at our SF HQ Nice to Have Existing relationships at AI labs or frontier model companies Background in video, media, or content-related technologies Prior startup experience, especially as an early hire Experience in product, technical operations, or a customer-facing technical role Benefits 401k + Full Health Insurance Breakfast, Lunch, and Dinner covered and your choice of snacks Ubers covered home

About Us Sieve is the only AI research lab exclusively focused on video data. We combine exabyte-scale video infrastructure, novel video understanding techniques, and dozens of data sources to develop datasets that push the frontier of video modeling. Video makes up 80% of internet traffic and has become the enabling digital medium powering creativity, communication, gaming, AR/VR, and robotics. Sieve exists to solve the biggest bottleneck in growth of these applications: high-quality training data. We've partnered with top AI labs and did $XXM last quarter alone, as a team of just 15 people. We also raised our Series A last year from Tier 1 firms such as Matrix Partners, Swift Ventures, Y Combinator, and AI Grant. About the Role As our first recruiter at Sieve, you'll build our recruiting function from the ground up and hire across engineering and our product operations org. This is a high-ownership role for someone who thrives in ambiguity, moves fast without sacrificing quality, and wants to be directly responsible for scaling a high-growth startup. No day will look the same - ideal candidates will bounce around between sourcing candidates, taking screen calls, running recruiting events, and anything else that’s needed to build the most talent dense organization. Requirements At least 3 years of technical recruiting experience Familiarity with AI/ML/Research talent market In-person at our SF HQ Bonus: Experience as a founding recruiter Bonus: Experience with hosting recruiting events Bonus: Experience with AI tools (Claude, Cursor, etc) Benefits 401k + Full Health Insurance Breakfast, Lunch, and Dinner covered and your choice of snacks Ubers covered home

About Us Sieve is the only AI research lab exclusively focused on video data. We combine exabyte-scale video infrastructure, novel video understanding techniques, and dozens of data sources to develop datasets that push the frontier of video modeling. Video makes up 80% of internet traffic and has become the enabling digital medium powering creativity, communication, gaming, AR/VR, and robotics. Sieve exists to solve the biggest bottleneck in the growth of these applications: high-quality training data. We’ve partnered with top AI labs and did $XXM last quarter alone, as a team of just 12 people. We also raised our Series A earlier this year from Tier 1 firms such as Matrix Partners, Swift Ventures, Y Combinator, and AI Grant. About the Role We process petabytes of video across thousands of nodes and multiple cloud environments. As we scale, reliability, observability, and security become existential. We’re hiring our first engineer fully dedicated to the infrastructure foundation of Sieve. This is a high-ownership role for someone who thinks deeply about: throughput and system stability monitoring and incident response security and least-privilege design reducing operational burden for the entire engineering team You’ll work directly with our CTO and our founding engineers to build the core tooling that powers all of engineering. This role is for someone who spends their time thinking deeply about reliability, throughput, observability, and security. You’re the kind of engineer who is always anticipating failure modes, eliminating operational risk, and designing systems that don’t break. If something goes down, you take it personally, and you thrive in that level of responsibility. What You’ll Do Work with engineering to design and validate the infrastructure powering PB-scale workloads Build and maintain Terraform-managed multi-cloud deployments Improve cloud and data security (SSO, IAM, least privilege, auditability) Own incident response and harden systems against failure Develop CI/CD systems that minimize user error and maximize safety Build monitoring + alerting platforms (Prometheus, OpenTelemetry, VictoriaMetrics) Wrap internal reliability tooling with simple UIs for engineers Requirements 3+ years building internal infrastructure at scale Experience on-call for Sev 0 / Sev 1 production incidents (L3 preferred) Strong cloud experience (GCP, AWS, Oracle, Cloudflare, etc.) Deep Infrastructure-as-Code experience (Terraform preferred) Familiarity with Argo, Helm, Kustomize, or similar deployment tools Experience operating observability systems (Prometheus, OTel, VictoriaMetrics) Backend fundamentals in Python, Go, Rust, or C++ Strong networking + security intuition, including SSO implementation High ownership mindset over critical systems In-person at our SF HQ Bonus Experience building lightweight internal tooling (APIs, dashboards, Svelte) Familiarity with object storage systems (“buckets”) Active GitHub or portfolio projects Benefits 401k + Full Health Insurance Breakfast, Lunch, and Dinner covered and your choice of snacks Ubers covered home

About Us Sieve is the only AI research lab exclusively focused on video data. We combine exabyte-scale video infrastructure, novel video understanding techniques, and dozens of data sources to develop datasets that push the frontier of video modeling. Video makes up 80% of internet traffic and has become the enabling digital medium powering creativity, communication, gaming, AR/VR, and robotics. Sieve exists to solve the biggest bottleneck in growth of these applications: high-quality training data. We've partnered with top AI labs and did $XXM last quarter alone, as a team of just 15 people. We also raised our Series A last year from Tier 1 firms such as Matrix Partners, Swift Ventures, Y Combinator, and AI Grant. About the Role As a software engineer at Sieve, you’ll work across the stack to build and scale the data pipelines that create the datasets we deliver to customers. You’ll have ownership over projects end-to-end: from how data is sourced and curated, to developing ML filters, improving system efficiency, and building internal dashboards for QA and delivery. You’ll play a critical role in ensuring customers receive high-quality data on time, every time. This role is ideal for someone who thrives on solving hard problems, enjoys working directly with customers pushing the frontier of Video AI, and wants to be challenged to achieve at the highest level. Requirements Strong Python developer, experience in Go or Typescript also welcome Excellent communication skills, especially with customers and external teams Motivated by hard problems that require working late nights and weekends Writes clean, maintainable code Able to context switch at a moment's notice Bonus: Experience as an early hire at a startup Bonus: Active GitHub or portfolio projects In-person at our SF HQ Benefits 401k + Full Health Insurance Breakfast, Lunch, and Dinner covered and your choice of snacks Ubers covered home