{"schemaVersion":"jobsearcher.job.v1","id":"a94a0b85a6bf5805205cd139","url":"https://jobsearcher.com/jobs/a94a0b85a6bf5805205cd139","canonicalUrl":"https://jobsearcher.com/jobs/a94a0b85a6bf5805205cd139","title":"Senior Computer Vision Engineer- US","description":"About Us:\nSTACK is a leading provider of cloud-based construction estimating and takeoff software solutions, committed to helping businesses transform through innovative solutions. We pride ourselves on fostering a collaborative, dynamic environment where team members have the opportunity to grow and make a real impact.\n\nAbout the Role:\nWe are hiring a Senior Computer Vision Engineer to improve our computer vision system for construction documents. This role focuses on detection and segmentation quality, geometric accuracy, and production-grade pipelines that work reliably with messy real-world PDFs and drawings.\n\nWhat You’ll Do:\nDesign, build, and improve end-to-end detection and segmentation pipelines for document images.\nImprove document ingestion for PDFs and other unstructured files, including parsing, rendering, and handling of multi-page and multi-view content.\nIncrease model accuracy, boundary and geometric quality, and overall reliability of predictions for downstream use.\nIntegrate modern detection and segmentation models into production workflows and build the post-processing that turns model output into structured, usable geometry.\nDefine evaluation metrics, investigate failure cases, and drive continuous quality improvements.\nOptimize latency, reliability, and cost across the inference and post-processing stack.\nOwn training infrastructure, dataset curation, annotation quality, and continuous-improvement loops.\nMake architectural decisions and own system quality end to end.\n\nWhat You Bring:\n5+ years experience building computer vision systems: detection, segmentation, or structured geometry extraction, used high volume in production.\nExperience working with messy, real-world image data or large unstructured visual datasets.\nStrong understanding of detection and segmentation tradeoffs, including model architecture choices, training data design, and post-processing.\nAbility to measure system performance with evaluation, testing, and production metrics.\nAbility to explain failure modes clearly and improve systems through debugging, dataset work, and iteration.\nExperience with multimodal models (vision-language models, document AI systems)\nUnderstanding of grounding — linking model outputs to source data or coordinates\nBackend engineering experience, including APIs, async processing, and scalable GPU services.\n\nAdditional Preferred Qualifications:\nExperience with polygon or mask post-processing, geometric regularization, or CAD-style structured output.\nExperience with layout-aware document processing, PDF vector extraction, or combining raster and vector signals.\nBackground in document-heavy CV domains such as construction, real estate, medical imaging, geospatial, or similar workflows.\nExperience optimizing inference cost and latency at scale.\nFamiliarity with open-source detection / segmentation ecosystems, training infrastructure, or model serving.\n\nWhat Success Looks Like:\nAccurate, geometrically correct predictions suitable for downstream measurement, and analysis use.\nFast, reliable inference across large and messy real-world document sets.\nClear quality metrics and a repeatable improvement loop.\nSystems that perform consistently under real-world production constraints.\n\nWhat This Role is Not:\nNot a model-training-only role. You'll own data, training, post-processing, and serving.\nNot a research-only role.\nNot a plug-and-play CV tools environment.\n\nWhy Join STACK?\nOpportunity to work in a fast-paced, growth-oriented, remote-first environment.\nAsync-friendly environment with a focus on ownership and deep work.\nBe part of a dynamic, supportive team where your contributions are valued.\n\nAt STACK, our values shape how we work, collaborate, and serve our customers:\nRadical Honesty: Communicate directly, respectfully, and transparently—even when conversations are difficult. Give and receive feedback with care.\nCustomer Obsession: Put the customer at the center of every decision. Solve real problems, follow through, and measure success by customer outcomes.\nMove With Purpose: Take thoughtful action, remain accountable, and own both successes and mistakes. Anticipate what’s next and adapt as you learn.\nGrow Together: Share knowledge, collaborate across teams, and invest in one another’s development. Celebrate collective wins and treat setbacks as opportunities to learn.\n\nWe are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.\n\nWe are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas.\n\nWe take into account an individual’s qualifications, skillset, and experience in determining final salary. This role is eligible for health insurance (medical, dental & vision), life insurance, 401(k) & paid time off. The expected compensation range for this position is about $190k- $210k USD. The actual offer will be at the company’s sole discretion and determined by relevant business considerations, including the final candidate’s qualifications, years of experience, skillset, and geographic location. #LI-Remote","company":"Stack Construction Technologies","rawCompany":"stack construction technologies","city":"Dayton","state":"OH","isRemote":false,"isActive":false,"createdAt":"2026-07-23T12:51:56.682Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"17-2051.00","title":"Civil Engineers","slug":"civil-engineers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541330","title":"Engineering Services","slug":"engineering-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Computer Vision Engineer- US","description":"About Us:\nSTACK is a leading provider of cloud-based construction estimating and takeoff software solutions, committed to helping businesses transform through innovative solutions. We pride ourselves on fostering a collaborative, dynamic environment where team members have the opportunity to grow and make a real impact.\n\nAbout the Role:\nWe are hiring a Senior Computer Vision Engineer to improve our computer vision system for construction documents. This role focuses on detection and segmentation quality, geometric accuracy, and production-grade pipelines that work reliably with messy real-world PDFs and drawings.\n\nWhat You’ll Do:\nDesign, build, and improve end-to-end detection and segmentation pipelines for document images.\nImprove document ingestion for PDFs and other unstructured files, including parsing, rendering, and handling of multi-page and multi-view content.\nIncrease model accuracy, boundary and geometric quality, and overall reliability of predictions for downstream use.\nIntegrate modern detection and segmentation models into production workflows and build the post-processing that turns model output into structured, usable geometry.\nDefine evaluation metrics, investigate failure cases, and drive continuous quality improvements.\nOptimize latency, reliability, and cost across the inference and post-processing stack.\nOwn training infrastructure, dataset curation, annotation quality, and continuous-improvement loops.\nMake architectural decisions and own system quality end to end.\n\nWhat You Bring:\n5+ years experience building computer vision systems: detection, segmentation, or structured geometry extraction, used high volume in production.\nExperience working with messy, real-world image data or large unstructured visual datasets.\nStrong understanding of detection and segmentation tradeoffs, including model architecture choices, training data design, and post-processing.\nAbility to measure system performance with evaluation, testing, and production metrics.\nAbility to explain failure modes clearly and improve systems through debugging, dataset work, and iteration.\nExperience with multimodal models (vision-language models, document AI systems)\nUnderstanding of grounding — linking model outputs to source data or coordinates\nBackend engineering experience, including APIs, async processing, and scalable GPU services.\n\nAdditional Preferred Qualifications:\nExperience with polygon or mask post-processing, geometric regularization, or CAD-style structured output.\nExperience with layout-aware document processing, PDF vector extraction, or combining raster and vector signals.\nBackground in document-heavy CV domains such as construction, real estate, medical imaging, geospatial, or similar workflows.\nExperience optimizing inference cost and latency at scale.\nFamiliarity with open-source detection / segmentation ecosystems, training infrastructure, or model serving.\n\nWhat Success Looks Like:\nAccurate, geometrically correct predictions suitable for downstream measurement, and analysis use.\nFast, reliable inference across large and messy real-world document sets.\nClear quality metrics and a repeatable improvement loop.\nSystems that perform consistently under real-world production constraints.\n\nWhat This Role is Not:\nNot a model-training-only role. You'll own data, training, post-processing, and serving.\nNot a research-only role.\nNot a plug-and-play CV tools environment.\n\nWhy Join STACK?\nOpportunity to work in a fast-paced, growth-oriented, remote-first environment.\nAsync-friendly environment with a focus on ownership and deep work.\nBe part of a dynamic, supportive team where your contributions are valued.\n\nAt STACK, our values shape how we work, collaborate, and serve our customers:\nRadical Honesty: Communicate directly, respectfully, and transparently—even when conversations are difficult. Give and receive feedback with care.\nCustomer Obsession: Put the customer at the center of every decision. Solve real problems, follow through, and measure success by customer outcomes.\nMove With Purpose: Take thoughtful action, remain accountable, and own both successes and mistakes. Anticipate what’s next and adapt as you learn.\nGrow Together: Share knowledge, collaborate across teams, and invest in one another’s development. Celebrate collective wins and treat setbacks as opportunities to learn.\n\nWe are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.\n\nWe are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas.\n\nWe take into account an individual’s qualifications, skillset, and experience in determining final salary. This role is eligible for health insurance (medical, dental & vision), life insurance, 401(k) & paid time off. The expected compensation range for this position is about $190k- $210k USD. The actual offer will be at the company’s sole discretion and determined by relevant business considerations, including the final candidate’s qualifications, years of experience, skillset, and geographic location. #LI-Remote","datePosted":"2026-07-23T12:51:56.682Z","dateModified":"2026-07-23T12:51:56.682Z","hiringOrganization":{"@type":"Organization","name":"Stack Construction Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dayton","addressRegion":"OH","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a94a0b85a6bf5805205cd139"},"url":"https://jobsearcher.com/jobs/a94a0b85a6bf5805205cd139"}}