Sieve jobs

Member of Technical Staff San Francisco | OnSite 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 https://matrix.vc/, Swift Ventures https://www.swift.vc/, Y Combinator https://www.ycombinator.com/, and AI Grant https://aigrant.com/. ABOUT THE ROLE As a software engineer at Sieve https://www.sievedata.com/, 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

Member of Technical Staff, Forward Deployed San Francisco | OnSite About the Role As a Forward Deployed Engineer at Sieve, you'll work on highly specific dataset problems for frontier AI labs and build the custom algorithms, models, and pipelines needed to solve them. We're looking for someone with a strong bias to action who likes working closely with customers, untangling messy requirements, and shipping fast. You'll work closely with customers and internal teams to understand exactly what data is needed, then turn ambiguous requirements into production systems that can find, generate, filter, transform, evaluate, and package high-quality video datasets at scale. The work often spans computer vision, audio processing, text processing, metadata analysis, model adaptation, and quality evaluation. You should be comfortable moving between research prototypes and reliable production pipelines, using models and APIs creatively, and squeezing performance through pre/post-processing, parallelism, inference optimization, fine-tuning, and evaluation loops. Requirements - Comfortable working directly with customers or external teams to translate ambiguous needs into concrete technical systems - Strong Python developer with hands-on experience in PyTorch or similar ML frameworks - Experience building custom algorithms, model workflows, or large-scale data pipelines - Strong intuition for dataset quality, filtering, labeling, evaluation, and edge cases - Able to break customer-level goals down into the models, heuristics, infrastructure, and QA steps needed to deliver - Writes clean, maintainable code and can move quickly without creating brittle systems - Deep passion for video, media technologies, and frontier AI applications - Motivated by delivering end-to-end outcomes, not

Partnerships & Operations Lead San Francisco | OnSite 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 https://matrix.vc/, Swift Ventures https://www.swift.vc/, Y Combinator https://www.ycombinator.com/, and AI Grant https://aigrant.com/. ABOUT THE ROLE As Partnerships & Operations Lead, you'll own the day-to-day execution and scaling of Sieve's data operations platform alongside vendor partnerships. 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

Research & Product Lead San Francisco | OnSite 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 https://matrix.vc/, Swift Ventures https://www.swift.vc/, Y Combinator https://www.ycombinator.com/, and AI Grant https://aigrant.com/. ABOUT THE ROLE As a Research & Product 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

Member of Technical Staff, Reliability San Francisco | OnSite 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

Member of Technical Staff, Infrastructure San Francisco | OnSite 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 https://matrix.vc/, Swift Ventures https://www.swift.vc/, Y Combinator https://www.ycombinator.com/, and AI Grant https://aigrant.com/. ABOUT THE ROLE As an infrastructure engineer at Sieve https://www.sievedata.com/, 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

Member of Technical Staff, Applied Research San Francisco | OnSite 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 https://matrix.vc/, Swift Ventures https://www.swift.vc/, Y Combinator https://www.ycombinator.com/, and AI Grant https://aigrant.com/. ABOUT THE ROLE As an applied research engineer at Sieve https://www.sievedata.com/, 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,

Member of Technical Staff, Product San Francisco | OnSite 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 help build our video collection platform: a system that pays contributors for submitting video recordings alongside internal product tooling. 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

Production Team Leader Posting Country:State China 200多年来，阿克苏诺贝尔一直致力于开创无限可能，向世界呈现面面精彩。作为油漆和涂料领域的领航者，我们的产品已经融入人们的工作和生活。阿克苏诺贝尔旗下品牌阵容鼎盛，拥有多乐士（Dulux）、国际（International）、新劲（Sikkens）、Interpon等著名品牌，在全球广受信赖。阿克苏诺贝尔致力于成为全球行业领导者，足迹已遍及世界150多个国家与地区。阿克苏诺贝尔坚持以可持续发展引导创新，不断迈向更绿色更宜居的未来。 Job Purpose 按照要求完成公司各项有关HSE的规定，确保在日常工作中安全操作，并实现TRR=0的目标 负责生产压出机台操作员培训，完成主管当日交代生产任务，不断学习操作技能，维护好操作设备机台，发现任何产品异常和设备故障需要立即汇报主管，对简单设备维护需要自己操作、配合质量人员维护公司产品质量，完成每日信息化平台生产任务提交，完成设备OEE%数据输入。 完成维护好工作现场较高的5S和可视化管理标准、设备点检、5S点检 组织本班人员开展日常点检培训和班会 Key Accountabilities Understand and ensure all activities in compliance with the Corporate HSE&S policy, related Standards and Guidance Notes 理解并确保工作符合总部的HSE&S方针，标准和指导意见 Participate training & familiar with site HSE procedures/work instructions and ensure all process and activities in full compliance with them 参加培训并掌握公司的HSE程序，作业指导书，并且确保所有流程和工作完全符合 Participate in the company's initiatives(LSR,BBS, etc.) actively to improve HSE Management Systems 积极参加公司的安全 (八项安全规定，行为安全观察，企业社会责任等)并完善HSE管理体系 Coordinate with the relevant department on reworking of slow moving and obsolete stock 配合相关部门再利用滞销品和过期产品 Ensure all processes fully comply align with AkzoNobel code of conduct, core value, local compliances, HSES policies, SOP and quality management system. 确保所有的流程符合阿克苏诺贝尔的行为准则、核心价值、地方政策，HSE政策，SOP 以及质量管理体 • Proficient in the production process of powder coatings (dry mixing → melting extrusion → tabletting → fine grinding → sieving and packaging). Master the application and management of PDCA and 5S methods.精通粉末涂料生产工艺流（干混→熔融挤出→压片→细粉碎→过筛包装）。掌握 PDCA、5

Production Operator - Erlanger, KY Production Operator Location: Erlanger, KY Vacancies: 2nd & 3rd Shift Schedule: 8 hour shifts; overtime and weekends as needed Hours: 2nd Shift - 2pm to 1030pm & 3rd Shift - 10pm to 630am Position Summary The Production Operator is responsible for safely operating manufacturing, blending, and processing equipment across the Dry Blends, Spray Dry, Dairy, MID, and Weigh Ups areas. This role ensures accurate material handling, product quality, regulatory compliance, and efficient production while supporting ADM's commitment to a zero-injury culture. Key Responsibilities - Perform all job functions in compliance with ADM safety standards, GMP, OSHA, HACCP, ISO, USDA, Kosher, BATF, and food safety requirements - Read, understand, and execute Manufacturing Orders, SOPs, and production instructions - Precisely weigh, verify, and add raw materials and intermediates to batches - Operate and monitor processing equipment including: - Blenders and batching systems - Steam jacketed kettles, vacuum dryers, homogenizers, pumps - Blend tanks, filtration systems, sieves, and related ancillary equipment - Make in‑process adjustments based on analytical data (temperature, moisture, flow, etc.) - Execute rework, formula adjustments, and corrections per QC and formula requirements - Collect samples, follow QC procedures, and report deviations to leadership - Package, sample, and label products per customer and order specifications - Complete all required transactions in SAP, CMS, MWS, and AS400 systems - Accurately document production activities to ensure lot traceability and yield accuracy - Clean and sanitize equipment and work areas per Master Sanitation Schedule - Support team objectives and

Production Operator - 3rd Shift - Erlanger, KY Production Operator - 3rd Shift Location: Erlanger, KY Vacancies: 3rd Shift Schedule: 8 hour shifts; overtime and weekends as needed Hours: 3rd Shift 10pm to 630am Position Summary The Production Operator is responsible for safely operating manufacturing, blending, and processing equipment across the Dry Blends, Spray Dry, Dairy, MID, and Weigh Ups areas. This role ensures accurate material handling, product quality, regulatory compliance, and efficient production while supporting ADM's commitment to a zero-injury culture. Key Responsibilities - Perform all job functions in compliance with ADM safety standards, GMP, OSHA, HACCP, ISO, USDA, Kosher, BATF, and food safety requirements - Read, understand, and execute Manufacturing Orders, SOPs, and production instructions - Precisely weigh, verify, and add raw materials and intermediates to batches - Operate and monitor processing equipment including: - Blenders and batching systems - Steam jacketed kettles, vacuum dryers, homogenizers, pumps - Blend tanks, filtration systems, sieves, and related ancillary equipment - Make in‑process adjustments based on analytical data (temperature, moisture, flow, etc.) - Execute rework, formula adjustments, and corrections per QC and formula requirements - Collect samples, follow QC procedures, and report deviations to leadership - Package, sample, and label products per customer and order specifications - Complete all required transactions in SAP, CMS, MWS, and AS400 systems - Accurately document production activities to ensure lot traceability and yield accuracy - Clean and sanitize equipment and work areas per Master Sanitation Schedule - Support team objectives and perform additional duties as

Spray Dry Operator - Erlanger, KY Spray Dry Operator - Erlanger, KY Job Responsibilities: - Ensure that all ingredients are present and in the correct quantities - Previous spray dry experience is preferred - Ability to make in-process adjustments based on analytical data (Temp., moisture, flow, etc..) - Must be able to compound liquid batches needed to spray dry - Responsible for ancillary equipment within a manufacturing environment (sieves, batching systems, etc.) - Set up and break down the equipment and make necessary adjustments - Use SAP, CMS, and MWS transactions needed for blending - Accurately document all work to ensure lot traceability, HACCP checks, etc. - Work in compliance with all GMP, OSHA, food safety and internal safety guidelines Required Skills: - High school diploma or equivalent - Strong communication skills - Commitment to ADM's goal of achieving a zero injury culture; understand and follow company safety procedures - Exhibit regular and timely attendance - Willing to work overtime and weekends if needed - Demonstrate initiative to work independently while flexible enough to work in team setting when needed - Exhibit a professional image at all times; maintain a positive and supportive attitude - Ability to read, write, and communicate clearly - Ability to pay attention to and focus on small details. i.e., lot numbers, order numbers, etc. - Flexibility in accepting change and an attitude of continuous improvement Physical Requirements: - Ability to safely and successful perform the essential job functions consistent with qualitative and/or quantitative productivity standards

Production Operator (Dry Blends) 1st shift – Erlanger, KY Production Operator (Dry Blends) - Erlanger, KY ADM Nutrition This is a full time, hourly position. Job Summary: The Production Operator in our Dry Blends area safely and successfully performs the essential job functions consistent with qualitative and/or quantitative productivity standards. This position currently has openings on 2nd and/or 3rd shift. Job Responsibilities: - Commit to ADM's goal of achieving a zero injury culture; understand and follow company safety procedures - Retrieve set-up pallet and deliver to batching rooms - Ensure that all ingredients are present and in the correct quantities - Operate blenders in accordance with SOP's or management guidance/instructions - Responsible for ancillary equipment within a manufacturing environment (sieves, batching systems, etc.) - Set up and break down the equipment and make necessary adjustments - Use SAP, CMS, and MWS transactions needed for blending - Accurately document all work to ensure lot traceability, HACCP checks, etc. - Work in compliance with all GMP, OSHA, food safety and internal safety guidelines - Other duties as assigned Job Qualifications: - High school diploma or GED preferred - Strong communication skills - Exhibit regular and timely attendance - Willing to work overtime and weekends, as needed - Initiative to work independently but flexible enough to work in a team setting when needed - Attention to detail in regards to lot numbers, order numbers, etc. - Ability to read, write and communicate clearly - Experience driving a fork lift and working in a

Production Operator (Spray Dry) - 3rd shift - Erlanger, KY Production Operator (Spray Dry) - Erlanger, KY Job Responsibilities: - Ensure that all ingredients are present and in the correct quantities - Previous spray dry experience is preferred - Ability to make in-process adjustments based on analytical data (Temp., moisture, flow, etc..) - Must be able to compound liquid batches needed to spray dry - Responsible for ancillary equipment within a manufacturing environment (sieves, batching systems, etc.) - Set up and break down the equipment and make necessary adjustments - Use SAP, CMS, and MWS transactions needed for blending - Accurately document all work to ensure lot traceability, HACCP checks, etc. - Work in compliance with all GMP, OSHA, food safety and internal safety guidelines Required Skills: - High school diploma or equivalent - Strong communication skills - Commitment to ADM's goal of achieving a zero injury culture; understand and follow company safety procedures - Exhibit regular and timely attendance - Willing to work overtime and weekends if needed - Demonstrate initiative to work independently while flexible enough to work in team setting when needed - Exhibit a professional image at all times; maintain a positive and supportive attitude - Ability to read, write, and communicate clearly - Ability to pay attention to and focus on small details. i.e., lot numbers, order numbers, etc. - Flexibility in accepting change and an attitude of continuous improvement Physical Requirements: - Ability to safely and successful perform the essential job functions consistent with

Production Operator (Dry Blends)- 2nd shift – Erlanger, KY Production Operator (Dry Blends) - Erlanger, KY ADM Nutrition This is a full time, hourly position. Job Summary: The Production Operator in our Dry Blends area safely and successfully performs the essential job functions consistent with qualitative and/or quantitative productivity standards. This position currently has opening on 2nd shift. Job Responsibilities: - Commit to ADM's goal of achieving a zero injury culture; understand and follow company safety procedures - Retrieve set-up pallet and deliver to batching rooms - Ensure that all ingredients are present and in the correct quantities - Operate blenders in accordance with SOP's or management guidance/instructions - Responsible for ancillary equipment within a manufacturing environment (sieves, batching systems, etc.) - Set up and break down the equipment and make necessary adjustments - Use SAP, CMS, and MWS transactions needed for blending - Accurately document all work to ensure lot traceability, HACCP checks, etc. - Work in compliance with all GMP, OSHA, food safety and internal safety guidelines - Other duties as assigned Job Qualifications: - High school diploma or GED preferred - Strong communication skills - Exhibit regular and timely attendance - Willing to work overtime and weekends, as needed - Initiative to work independently but flexible enough to work in a team setting when needed - Attention to detail in regards to lot numbers, order numbers, etc. - Ability to read, write and communicate clearly - Experience driving a fork lift and working in a manufacturing environment

Production Operator (Dry Blends) - 1st shift - Erlanger, KY Production Operator (Dry Blends) - Erlanger, KY ADM Nutrition This is a full time, hourly position. Job Summary: The Production Operator in our Dry Blends area safely and successfully performs the essential job functions consistent with qualitative and/or quantitative productivity standards. Job Responsibilities: - Commit to ADM's goal of achieving a zero injury culture; understand and follow company safety procedures - Retrieve set-up pallet and deliver to batching rooms - Ensure that all ingredients are present and in the correct quantities - Operate blenders in accordance with SOP's or management guidance/instructions - Responsible for ancillary equipment within a manufacturing environment (sieves, batching systems, etc.) - Set up and break down the equipment and make necessary adjustments - Use SAP, CMS, and MWS transactions needed for blending - Accurately document all work to ensure lot traceability, HACCP checks, etc. - Work in compliance with all GMP, OSHA, food safety and internal safety guidelines - Other duties as assigned Job Qualifications: - High school diploma or GED preferred - Strong communication skills - Exhibit regular and timely attendance - Willing to work overtime and weekends, as needed - Initiative to work independently but flexible enough to work in a team setting when needed - Attention to detail in regards to lot numbers, order numbers, etc. - Ability to read, write and communicate clearly - Experience driving a fork lift and working in a manufacturing environment Working Conditions: - Employees in this position