{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/cvpr"},"x-facet":{"type":"skill","slug":"cvpr","display":"Cvpr","count":2},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b225c712-792"},"title":"Technical Recruiter","description":"<p>We&#39;re looking for a Technical Recruiter / Research Talent Sourcer to join World Labs and help us build a world-class research and engineering team. In this role, you will own and scale our technical recruiting and sourcing systems, with a particular focus on identifying and engaging top-tier AI researchers and engineers from leading universities and industry labs.</p>\n<p>This is a highly operational, systems-driven role that also demands creativity, intuition, and deep curiosity about the AI research ecosystem. You will work closely with founders, research leaders, and hiring managers to translate ambitious research goals into exceptional hires.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design, build, and continuously improve recruiting and sourcing systems, processes, and tooling with an emphasis on rigor, accuracy, and scalability</li>\n<li>Proactively source researchers and engineers from top universities, AI labs, and leading technology companies across ML, robotics, computer vision, and related fields</li>\n<li>Maintain exceptionally high-quality candidate data, pipelines, and documentation across ATS and internal tracking systems</li>\n<li>Develop creative sourcing strategies using publications, citations, open-source work, conference participation, academic networks, and referrals</li>\n<li>Partner closely with research and engineering leaders to deeply understand technical needs, evolving skill requirements, and long-term talent strategy</li>\n<li>Own candidate experience end-to-end, ensuring thoughtful, timely, and highly professional communication</li>\n<li>Analyze recruiting metrics and pipeline data to identify gaps, improve efficiency, and inform hiring decisions</li>\n<li>Support interview coordination and hiring operations as needed to keep processes running smoothly and predictably</li>\n</ul>\n<p>Key Qualifications:</p>\n<ul>\n<li>3+ years of experience in technical recruiting or sourcing, with a strong focus on AI, ML, robotics, or adjacent deep-tech domains</li>\n<li>Demonstrated ability to build and maintain highly organized recruiting systems and processes</li>\n<li>Strong data discipline: comfortable working with pipelines, metrics, and structured tracking to drive decisions</li>\n<li>Solid understanding of the AI research landscape, including top universities, labs, conferences, and industry research teams</li>\n<li>Experience sourcing passive, highly competitive candidates</li>\n<li>Excellent written and verbal communication skills</li>\n<li>Ability to operate effectively in fast-moving, ambiguous environments</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li><p>Experience in one or more of the following is a strong plus:</p>\n<ul>\n<li>Recruiting or sourcing for research-heavy organizations or frontier AI labs</li>\n<li>Familiarity with academic research signals (publications, citations, arXiv, conferences such as NeurIPS, ICML, ICLR, CVPR, RSS, etc.)</li>\n<li>Experience hiring PhD-level researchers or highly specialized engineers</li>\n<li>Background in startup environments or early-stage team building</li>\n<li>Experience with advanced sourcing tools, automation, or custom workflows</li>\n</ul>\n</li>\n</ul>\n<p>Who You Are:</p>\n<ul>\n<li>Fearless Innovator: We need people who thrive on challenges and aren&#39;t afraid to tackle the impossible.</li>\n<li>Resilient Builder: Impacting Large World Models isn&#39;t a sprint; it&#39;s a marathon with hurdles. We&#39;re looking for builders who can weather the storms of groundbreaking research and come out stronger.</li>\n<li>Mission-Driven Mindset: Everything we do is in service of creating the best spatially intelligent AI systems, and using them to empower people.</li>\n<li>Collaborative Spirit: We&#39;re building something bigger than any one person. We need team players who can harness the power of collective intelligence.</li>\n</ul>\n<p>Equal Opportunity &amp; Pay Transparency</p>\n<p>World Labs is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other characteristic protected under applicable law. We welcome all qualified applicants and are committed to providing reasonable accommodations throughout the hiring process upon request.</p>\n<p>In accordance with California law, we disclose the following:</p>\n<ul>\n<li>Pay Range: $180,000-$225,000 base salary (good-faith estimate for San Francisco Bay Area upon hire; actual offer based on experience, skills, and qualifications)</li>\n<li>Total Compensation: Base salary plus equity awards and annual performance bonus</li>\n<li>Salary History: We do not request or consider prior compensation in making offers</li>\n</ul>\n<p>Compliance:</p>\n<ul>\n<li>Cal. Lab. Code §432.3 (pay scale disclosure &amp; salary history ban); Cal. Lab. Code §1197.5 (Equal Pay Act); Cal. Gov. Code §12940 (FEHA); 42 U.S.C. §2000e (Title VII); 29 U.S.C. §621 (ADEA); 42 U.S.C. §12101 (ADA)</li>\n<li>Accommodations &amp; inquiries: <a href=\"mailto:talent@worldlabs.ai\">talent@worldlabs.ai</a></li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_b225c712-792","directApply":true,"hiringOrganization":{"@type":"Organization","name":"World Labs","sameAs":"https://worldlabs.ai","logo":"https://logos.yubhub.co/worldlabs.ai.png"},"x-apply-url":"https://job-boards.greenhouse.io/worldlabs/jobs/4135918009","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$180,000-$225,000","x-skills-required":["AI","ML","Robotics","Computer Vision","Deep-Tech Domains","Recruiting","Sourcing","Data Discipline","Pipelines","Metrics","Structured Tracking"],"x-skills-preferred":["Academic Research Signals","Publications","Citations","arXiv","Conferences","NeurIPS","ICML","ICLR","CVPR","RSS","PhD-Level Researchers","Specialized Engineers","Startup Environments","Early-Stage Team Building","Advanced Sourcing Tools","Automation","Custom Workflows"],"datePosted":"2026-04-17T13:09:34.519Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI, ML, Robotics, Computer Vision, Deep-Tech Domains, Recruiting, Sourcing, Data Discipline, Pipelines, Metrics, Structured Tracking, Academic Research Signals, Publications, Citations, arXiv, Conferences, NeurIPS, ICML, ICLR, CVPR, RSS, PhD-Level Researchers, Specialized Engineers, Startup Environments, Early-Stage Team Building, Advanced Sourcing Tools, Automation, Custom Workflows","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180000,"maxValue":225000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c9975749-904"},"title":"Senior Applied Scientist","description":"<p>As a Senior Applied Scientist in the Multimedia Team, you will redefine how millions of users discover, consume, and create visual content. You will be at the heart of Bing Visual Search, Bing Image Creator, and our vast video indexing engine. Your mission is to build intelligent systems that understand the deep semantics of pixels and frames, enabling world-class image and video experiences that are fast, relevant, and inspiring.</p>\n<p>Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p>\n<p>Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.</p>\n<p>Responsibilities\nVisual Intelligence Development: Build and deploy SOTA machine learning models for image classification, object detection, and video action recognition to power Bing’s multimedia features.</p>\n<p>Multimodal &amp; Generative AI: Lead the development of multimodal embeddings that align text and visual data, and leverage Generative AI (e.g., DALL-E, MAI models) to enhance content creation tools.</p>\n<p>Scale &amp; Optimization: Design robust feature-engineering pipelines to process billions of images and videos, ensuring low-latency inference in production services.</p>\n<p>Strategic Leadership: Embody Microsoft’s values by Creating Clarity in complex AI problems and Generating Energy across cross-functional teams of engineers and PMs.</p>\n<p>Responsible AI: Ensure all visual models adhere to strict Security, Privacy, and GDPR standards, specifically focusing on content moderation and bias detection in multimedia.</p>\n<p>Qualifications\nRequired Qualifications: Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.</p>\n<p>Mastery of Python and deep learning frameworks such as PyTorch or TensorFlow. 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