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YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_90b5ac1d-d16"},"title":"Senior Software Engineer, Backend — Frontier Data","description":"<p>The Frontier Data team builds the data and systems that power Scale&#39;s most advanced Frontier AI use cases. We&#39;re looking for a Senior Backend Engineer who thrives in ambiguity, moves fast, and enjoys tackling daunting challenges.</p>\n<p>As a Senior Backend Engineer, you will own major backend systems for frontier agentic data products, driving projects from early exploration through production deployment. You will build scalable services and pipelines that support agent workflows, architect modular, reusable backend systems, and operate in high-ambiguity environments.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Designing and building scalable systems while partnering closely with research, product, operations, and other engineering teams</li>\n<li>Building scalable services and pipelines that support agent workflows</li>\n<li>Architecting modular, reusable backend systems that adapt to evolving product needs</li>\n<li>Operating in high-ambiguity environments and breaking down open-ended problems</li>\n<li>Partnering cross-functionally with product, research/ML, and infrastructure teams</li>\n</ul>\n<p>Ideal experience includes 5+ years of full-time software engineering experience, strong backend engineering fundamentals, and experience building systems that scale.</p>\n<p>Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors.</p>\n<p>Additional benefits include comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.</p>\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_90b5ac1d-d16","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Frontier Data","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4648525005","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$216,000-$270,000 USD","x-skills-required":["Distributed systems","API design","Data modeling","Production reliability","Docker","Containerized development/production environments","SQL","Modern database-backed application development"],"x-skills-preferred":["Async processing","Workflow engines","Data pipelines"],"datePosted":"2026-04-18T16:01:34.567Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Distributed systems, API design, Data modeling, Production reliability, Docker, Containerized development/production environments, SQL, Modern database-backed application development, Async processing, Workflow engines, Data pipelines","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":216000,"maxValue":270000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_467be5c4-940"},"title":"Machine Learning Engineer","description":"<p>We&#39;re looking for a Machine Learning Engineer to join our Ads Engineering team. As a Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including personalized recommendations, search, and ranking systems, intelligent advertising systems, and large-scale machine learning pipelines.</p>\n<p>Our team works on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes. You&#39;ll work on complex, real-world ML problems at massive scale, and contribute to technical strategy, architecture, and long-term ML roadmap.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design, build, and deploy production-grade machine learning models and systems at scale</li>\n<li>Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring</li>\n<li>Build scalable data and model pipelines with strong reliability, observability, and automated retraining</li>\n<li>Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems</li>\n<li>Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions</li>\n<li>Improve system performance across latency, throughput, and model quality metrics</li>\n<li>Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph &amp; transformers based, and LLM evaluation/alignment</li>\n</ul>\n<p>Basic Qualifications:</p>\n<ul>\n<li>3-5+ years of experience building, deploying, and operating machine learning systems in production</li>\n<li>Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals</li>\n<li>ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs)</li>\n<li>Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)</li>\n<li>Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure</li>\n<li>Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions</li>\n<li>Experience improving measurable metrics through applied machine learning</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems</li>\n<li>Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.)</li>\n<li>Experience working with real-time systems and low-latency production environments</li>\n<li>Background in feature engineering, model optimization, and production monitoring</li>\n<li>Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale</li>\n<li>Advanced degree in Computer Science, Machine Learning, or related quantitative field</li>\n</ul>\n<p>Potential Teams:</p>\n<ul>\n<li>Ads Measurement Modeling</li>\n<li>Ads Targeting and Retrieval</li>\n<li>Advertiser Optimization</li>\n<li>Ads Marketplace Quality</li>\n<li>Ads Creative Effectiveness</li>\n<li>Ads Foundational Representations</li>\n<li>Ads Content Understanding</li>\n<li>Ads Ranking</li>\n<li>Feed Relevance</li>\n<li>Search and Answers Relevance</li>\n<li>ML Understanding</li>\n<li>Notifications Relevance</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Comprehensive Healthcare Benefits and Income Replacement Programs</li>\n<li>401k with Employer Match</li>\n<li>Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support</li>\n<li>Family Planning Support</li>\n<li>Gender-Affirming Care</li>\n<li>Mental Health &amp; Coaching Benefits</li>\n<li>Flexible Vacation &amp; Paid Volunteer Time Off</li>\n<li>Generous Paid Parental Leave</li>\n</ul>\n<p>Pay Transparency:</p>\n<p>This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave.</p>\n<p>To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. 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As a Senior Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including personalized recommendations, search, and ranking systems. You&#39;ll work on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes.</p>\n<p>Your responsibilities will include:</p>\n<ul>\n<li>Designing, building, and deploying production-grade machine learning models and systems at scale</li>\n<li>Owning the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring</li>\n<li>Building scalable data and model pipelines with strong reliability, observability, and automated retraining</li>\n<li>Working with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems</li>\n<li>Partnering cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions</li>\n</ul>\n<p>You&#39;ll work on a wide range of high-impact problems across the Reddit ecosystem, including recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, and multimodal embedding systems.</p>\n<p>To be successful in this role, you&#39;ll need:</p>\n<ul>\n<li>3-5+ years of experience building, deploying, and operating machine learning systems in production</li>\n<li>Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals</li>\n<li>ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs)</li>\n<li>Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)</li>\n<li>Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure</li>\n<li>Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions</li>\n</ul>\n<p>Preferred qualifications include experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems, familiarity with distributed systems and large-scale data processing, and experience working with real-time systems and low-latency production environments.</p>\n<p>At Reddit, we&#39;re committed to building a workforce representative of the diverse communities we serve. We&#39;re proud to be an equal opportunity employer and are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.</p>\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_e998910e-d8f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Reddit","sameAs":"https://www.redditinc.com","logo":"https://logos.yubhub.co/redditinc.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/reddit/jobs/6960833","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","Java","Go","PyTorch","TensorFlow","XGBoost","Random Forests","Regressions","Transformers","CNNs","GNNs"],"x-skills-preferred":["Recommender systems","Search/ranking systems","Advertising/auction systems","Large-scale representation learning","Multimodal embedding systems","Distributed systems","Large-scale data processing","Real-time systems","Low-latency production environments"],"datePosted":"2026-04-18T15:56:54.058Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - Ontario, Canada"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Java, Go, PyTorch, TensorFlow, XGBoost, Random Forests, Regressions, Transformers, CNNs, GNNs, Recommender systems, Search/ranking systems, Advertising/auction systems, Large-scale representation learning, Multimodal embedding systems, Distributed systems, Large-scale data processing, Real-time systems, Low-latency production environments"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_fba65aaa-ae6"},"title":"Senior Engineering Manager, Data","description":"<p>About Mixpanel ================</p>\n<p>Mixpanel is a digital analytics platform that helps teams accelerate adoption, improve retention, and ship with confidence. It has over 29,000 customers, including Workday, Pinterest, LG, and Rakuten Viber.</p>\n<p>About the Team ==============</p>\n<p>Mixpanel Engineering is a small, fast-moving team focused on delivering real value to customers. We build powerful AI-powered product analytics while obsessing over clarity, simplicity, and delight. Engineers here own problems end to end. You can move across the stack to ship impact without being blocked by silos or heavy process.</p>\n<p>Product innovation drives our business, and product engineering teams own that responsibility. The Infrastructure group focuses on high-scale customer data, operating as a force multiplier for the broader company as it moves toward an AI-first product. It comprises of four teams, Data Foundation, Query Engine, Data Storage and Data Activation.</p>\n<p>Responsibilities ===============</p>\n<p>Lead and build AI-first product experiences from inception to global scale.</p>\n<p>Lead an engineering team and grow its scope over time. This role is for someone who loves developing people and unlocking their potential.</p>\n<p>Build an exceptional team by hiring well, coaching deeply, and creating a culture where engineers feel ownership and pride in what they ship.</p>\n<p>Shape direction alongside Product, turning big ideas into focused execution and helping teams move fast without losing quality.</p>\n<p>Set the technical bar and protect the system. Depending on level, this may mean hands-on technical leadership or empowering tech leads with clarity and trust.</p>\n<p>Requirements ============</p>\n<p>10+ years engineering experience; 4+ years leading engineering teams</p>\n<p>Experience building and running infrastructure supporting real-world, customer-facing web applications.</p>\n<p>Experience building and using AI-powered products in production environments.</p>\n<p>Proven collaboration with product managers and designers on meaningful infrastructure.</p>\n<p>Strong judgment in technical tradeoffs, backed by lessons learned.</p>\n<p>Evidence of leadership through influence, alignment, and growing others.</p>\n<p>Director candidates must have experience managing managers.</p>\n<p>Skilled at navigating ambiguity, making tradeoffs, and bringing clarity to complex org structures</p>\n<p>High level of ownership, accountability, and product intuition</p>\n<p>Additional Resources ====================</p>\n<p>Engineering Life Page</p>\n<p>Engineering Blog</p>\n<p>Compensation ==========</p>\n<p>The amount listed below is the total target cash compensation (TTCC) and includes base compensation and variable compensation in the form of either a company bonus or commissions. Variable compensation type is determined by your role and level. In addition to the cash compensation provided, this position is also eligible for equity consideration and other benefits including medical, vision, and dental insurance coverage.</p>\n<p>Our salary ranges are determined by role and level and are benchmarked to the SF Bay Area Technology data cut released by Radford, a global compensation database. The range displayed represents the minimum and maximum TTCC for new hire salaries for the position across all of our US locations.</p>\n<p>Within the range, individual pay is determined by experience, job-related skills, qualifications, and other factors. If you have questions about the specific range, your recruiter can share this information.</p>\n<p>Mixpanel Compensation Range $279,000-$377,000 USD</p>\n<p>Benefits and Perks =================</p>\n<p>Comprehensive Medical, Vision, and Dental Care</p>\n<p>Mental Wellness Benefit</p>\n<p>Generous Vacation Policy &amp; Additional Company Holidays</p>\n<p>Enhanced Parental Leave</p>\n<p>Volunteer Time Off</p>\n<p>Additional US Benefits: Pre-Tax Benefits including 401(K), Wellness Benefit, Holiday Break</p>\n<p>Culture Values ==============</p>\n<p>Make Bold Bets: We choose courageous action over comfortable progress.</p>\n<p>Innovate with Insight: We tackle decisions with rigor and judgment - combining data, experience and collective wisdom to drive powerful outcomes.</p>\n<p>One Team: We collaborate across boundaries to achieve far greater impact than any of us could accomplish alone.</p>\n<p>Candor with Connection: We build meaningful relationships that enable honest feedback and direct conversations.</p>\n<p>Champion the Customer: We seek to deeply understand our customers’ needs, ensuring their success is our north star.</p>\n<p>Why choose Mixpanel? ================</p>\n<p>We’re a leader in analytics with over 9,000 customers and $277M raised from prominent investors: like Andreessen-Horowitz, Sequoia, YC, and, most recently, Bain Capital. Mixpanel’s pioneering event-based data analytics platform offers a powerful yet simple solution for companies to understand user behaviors and easily track overarching company success metrics.</p>\n<p>Conclusion ========</p>\n<p>Choosing to work at Mixpanel means you’ll be helping the world’s most innovative companies learn from their data so they can make better decisions. 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As of February 2025, we’ve grown from an open source project into the leading analytics engineering platform, now used by over 90,000 teams every week, driving data transformations and AI use cases.</p>\n<p>We’re backed by top-tier investors including Andreessen Horowitz, Sequoia Capital, and Altimeter. At our core, we believe in empowering data practitioners:</p>\n<ul>\n<li>Reliable, high-quality data is the fuel that propels AI-powered data engineering.</li>\n<li>AI is changing data work, fast. dbt’s data control plane keeps data engineers ahead of that curve.</li>\n<li>We empower engineers to deliver reliable, governed data faster, cheaper, and at scale.</li>\n</ul>\n<p>About the Security Team</p>\n<p>The mission of the Security Engineering team at dbt Labs is to provide clear, opinionated security guidance and scalable, secure-by-default offerings to engineers for the purpose of securing software development and enabling pragmatic risk decisions at dbt.</p>\n<p><strong>Responsibilities</strong></p>\n<p>As a Senior Security Operations Engineer on the Detection &amp; Response team, you will strengthen and maintain the company&#39;s security posture throughout the threat detection lifecycle from telemetry collection and continuous monitoring through threat detection, incident response, and security event management. You will serve as a subject matter expert for security operations across the dbt Labs&#39; teams and technology infrastructure, including multi-cloud production environments, identity, endpoints, and SaaS technologies.</p>\n<p><strong>Key Responsibilities</strong></p>\n<ul>\n<li>Participate in a 24/7 on-call rotation providing coverage for active security incidents, investigations, and security events across our global infrastructure.</li>\n<li>Lead investigation and remediation of security incidents, coordinating cross-functional response efforts to minimize impact and recovery time.</li>\n<li>Play a major role in bootstrapping an end to end D&amp;R alert and investigation pipeline.</li>\n<li>Triage and investigate security alerts from detection tools including Wiz Defend, Crowdstrike, and cloud security platforms to identify genuine threats and reduce false positives.</li>\n<li>Develop and maintain detection rules, runbooks, and response procedures mapped to the company&#39;s threat model.</li>\n<li>Automate alert triage workflows and improve mean time to detection and response through tooling and process enhancements, including leveraging AI enrichment and processing.</li>\n<li>Collaborate with Infrastructure and Application Security teams to implement secure-by-design principles and remediate identified security issues.</li>\n<li>Conduct security event analysis to identify policy violations, misconfigurations, and potential attack vectors before they become incidents.</li>\n<li>Partner with our Enterprise Security &amp; Technology team to enhance endpoint security controls and monitoring across endpoints (MacOS laptops &amp; some Windows and Linux-based development environments).</li>\n<li>Design and facilitate tabletop exercises and game days to test detection, response, recovery, and remediation capabilities.</li>\n<li>Contribute to the maturation of the security incident response program through documentation, training, and process improvements.</li>\n<li>Mentor junior security engineers and cross-functional team members on incident handling best practices.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Demonstrated ability to excel in high-pressure situations; we need someone who can make sound decisions during active security incidents and can calmly serve as incident commander with confidence.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>Have 8+ years of professional experience in security-related domains, including at least 4 years in security operations, incident response, threat hunting, or threat detection roles.</li>\n<li>Have demonstrable experience leading security incident investigations and coordinating cross-team response efforts.</li>\n</ul>\n<p><strong>What We Offer</strong></p>\n<ul>\n<li>Competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay.</li>\n<li>Opportunity to work with a leading analytics engineering platform and contribute to the growth and success of the company.</li>\n<li>Collaborative and dynamic work environment with a team of experienced professionals.</li>\n<li>Opportunities for professional growth and development.</li>\n</ul>\n<p><strong>How to Apply</strong></p>\n<p>If you are a motivated and experienced security professional looking for a new challenge, please submit your resume and cover letter to [insert contact information]. We look forward to hearing from you!</p>\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_6c1cd36d-464","directApply":true,"hiringOrganization":{"@type":"Organization","name":"dbt Labs","sameAs":"https://www.getdbt.com/","logo":"https://logos.yubhub.co/getdbt.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/dbtlabsinc/jobs/4674498005","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Security Operations","Incident Response","Threat Hunting","Threat Detection","Cloud Security","Endpoint Security","Security Event Analysis","Security Incident Response","Tabletop Exercises","Game Days","Documentation","Training","Process Improvements","Mentoring","Security Engineering","Data Control Plane","Analytics Engineering","AI-Powered Data Engineering","Reliable High-Quality Data","Secure-By-Default Offerings","Pragmatic Risk Decisions","Multi-Cloud Production Environments","Identity","Endpoints","SaaS Technologies","Wiz Defend","Crowdstrike","Cloud Security Platforms","Detection Rules","Runbooks","Response Procedures","Mean Time to Detection","Mean Time to Response","AI Enrichment","AI Processing","Secure-By-Design Principles","Infrastructure Security","Application Security","Endpoint Security Controls","Monitoring"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:52:43.496Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"US - Remote"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Security Operations, Incident Response, Threat Hunting, Threat Detection, Cloud Security, Endpoint Security, Security Event Analysis, Security Incident Response, Tabletop Exercises, Game Days, Documentation, Training, Process Improvements, Mentoring, Security Engineering, Data Control Plane, Analytics Engineering, AI-Powered Data Engineering, Reliable High-Quality Data, Secure-By-Default Offerings, Pragmatic Risk Decisions, Multi-Cloud Production Environments, Identity, Endpoints, SaaS Technologies, Wiz Defend, Crowdstrike, Cloud Security Platforms, Detection Rules, Runbooks, Response Procedures, Mean Time to Detection, Mean Time to Response, AI Enrichment, AI Processing, Secure-By-Design Principles, Infrastructure Security, Application Security, Endpoint Security Controls, Monitoring"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_40d32156-365"},"title":"Reliability Lead, Common Services","description":"<p>As Reliability Lead, Common Services, you will establish and lead the Reliability Engineering and production operations practice for the Common Services organization. You&#39;ll partner closely with engineering leaders and teams across Common Services to define how we build, release, monitor, and operate critical services,raising the bar on reliability, availability, and operational excellence across the board.</p>\n<p>In this role, you will:</p>\n<ul>\n<li>Establish and lead the SRE / production engineering practice for the Common Services organization, including standards for reliability, incident management, and on-call, in partnership with the central Product Engineering organization.</li>\n<li>Develop an Operational Excellence strategy that focuses on not only improving system performance but also monitoring and reducing operational toil</li>\n<li>Partner with engineering and product teams to define SLOs, SLIs, and error budgets for critical Common Services, and ensure these become part of how teams plan and make tradeoffs.</li>\n<li>Own and improve the incident management lifecycle for Common Services, including on-call rotations, escalation 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This role is focused on delivering high-quality experiences for employee communications, executive broadcasts, training, and internal events.</p>\n<p>You&#39;ll operate at the intersection of live production, broadcast engineering, and internal tooling, ensuring our teams can communicate effectively at scale. 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In this role, you&#39;ll ensure that employees,from executives to new hires,can connect, learn, and align through high-quality live experiences.</p>\n<p>You won&#39;t just run internal events,you&#39;ll build the systems that make internal communication seamless, reliable, and scalable across the company.</p>\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_beda8a58-d75","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8472697002","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$177,700-$244,300 USD","x-skills-required":["Audio/video signal flow","Video switching / technical direction","Live streaming and remote production tools","Experience supporting distributed or multi-location production environments","Strong communication skills"],"x-skills-preferred":["Experience supporting internal communications, corporate events, or enablement programs","Familiarity with enterprise video conferencing and collaboration tools","Experience with IP-based video (NDI, SRT, 2110) or cloud-based production workflows","Background in motion graphics or internal content production"],"datePosted":"2026-04-18T15:47:40.663Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Audio/video signal flow, Video switching / technical direction, Live streaming and remote production tools, Experience supporting distributed or multi-location production environments, Strong communication skills, Experience supporting internal communications, corporate events, or enablement programs, Familiarity with enterprise video conferencing and collaboration tools, Experience with IP-based video (NDI, SRT, 2110) or cloud-based production workflows, Background in motion graphics or internal content production","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":177700,"maxValue":244300,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_fc38e24f-97e"},"title":"Senior Machine Learning Engineer","description":"<p>We&#39;re looking for a Senior Machine Learning Engineer to join our Ads Engineering team. 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In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. 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We partner closely with Product, Engineering, and Go-To-Market teams to inform high-stakes decisions through rigorous data science and economic modeling. As part of our expanding Data Science function, we’re building a best-in-class Forecasting capability to drive real-time, data-driven decision-making across user growth, revenue, compute infrastructure, and more.</p>\n<p>We are developing scalable forecasting infrastructure to help us understand and anticipate business dynamics in an increasingly complex, usage-based world. Our models are foundational to planning, pricing, operational efficiency, and growth strategy - supporting key investment decisions and unlocking OpenAI’s full potential.</p>\n<p><strong>About the Role</strong></p>\n<p>We’re looking for a senior Machine Learning Data Scientist to lead our forecasting initiatives. You’ll be one of the founding members of the Forecasting pillar within Strategic Finance Data Science, responsible for building and scaling robust, interpretable, and production-ready forecasting systems. Your models will power critical business decisions by predicting core metrics such as DAU/WAU, revenue, LTV, compute consumption, and profitability.</p>\n<p>This is a highly cross-functional role, requiring technical excellence, strong product intuition, and business acumen. You’ll collaborate with product managers, researchers, engineers, and finance leaders to operationalize forecasting insights, influence company-wide strategy, and build foundational forecasting capabilities at OpenAI.</p>\n<p>This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li><strong>Build statistical and machine learning models</strong> to solve forecasting needs across product, finance, infrastructure, and GTM domains.</li>\n</ul>\n<ul>\n<li><strong>Own the end-to-end modeling lifecycle</strong>, including scoping, feature engineering, model development and prototyping, experimentation, deployment, monitoring, and explainability.</li>\n</ul>\n<ul>\n<li><strong>Develop and productionize scalable, interpretable forecasts</strong> for user growth, monetization, compute load, customer lifetime value, and profitability.</li>\n</ul>\n<ul>\n<li><strong>Contribute to self-service forecasting tools and internal platforms</strong>, enabling teams across OpenAI to access and act on real-time predictions.</li>\n</ul>\n<ul>\n<li><strong>Research and evaluate emerging tools and techniques</strong> in the forecasting space, such as TimeGPT, large language model extensions, causal forecasting, and hybrid approaches.</li>\n</ul>\n<ul>\n<li><strong>Drive strategic insight generation</strong> by translating technical outputs into business-aligned recommendations and decision frameworks.</li>\n</ul>\n<ul>\n<li><strong>Collaborate closely with cross-functional teams</strong> to ensure forecasts are well-integrated into planning processes, experimentation workflows, and executive decision-making.</li>\n</ul>\n<p><strong>You might thrive in this role if you have:</strong></p>\n<ul>\n<li>Advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Economics, Operations Research).</li>\n</ul>\n<ul>\n<li>7+ years of experience in applied data science, with deep hands-on exposure to forecasting, predictive modeling, or marketplace systems.</li>\n</ul>\n<ul>\n<li>Expertise in <strong>time-series forecasting techniques</strong> and practical understanding of model trade-offs across performance, explainability, and scalability.</li>\n</ul>\n<ul>\n<li>Proficiency in <strong>Python</strong>, <strong>SQL</strong>, and tools such as scikit-learn, PyTorch/TensorFlow, and forecasting libraries.</li>\n</ul>\n<ul>\n<li>Demonstrated experience with model monitoring, debugging, and long-term maintenance in production environments.</li>\n</ul>\n<ul>\n<li>Strong communication and storytelling skills - able to simplify complexity and influence executive stakeholders.</li>\n</ul>\n<ul>\n<li>Self-directed, intellectually curious, and comfortable leading ambiguous projects from 0→1.</li>\n</ul>\n<p><strong>Bonus if</strong></p>\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_c27a8833-986","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/0b57e309-426d-4f5c-a28c-6dd941b84703","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$230K – $385K","x-skills-required":["Python","SQL","scikit-learn","PyTorch/TensorFlow","forecasting libraries","time-series forecasting techniques","model monitoring","debugging","long-term maintenance","production environments"],"x-skills-preferred":["TimeGPT","large language model extensions","causal forecasting","hybrid approaches"],"datePosted":"2026-03-06T18:38:45.580Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, SQL, scikit-learn, PyTorch/TensorFlow, forecasting libraries, time-series forecasting techniques, model monitoring, debugging, long-term maintenance, production environments, TimeGPT, large language model extensions, causal forecasting, hybrid approaches","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":230000,"maxValue":385000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_68486ad5-1b7"},"title":"Full-Stack Engineer, Consumer Devices","description":"<p><strong>Full-Stack Engineer, Consumer Devices</strong></p>\n<p><strong>Location</strong></p>\n<p>San Francisco</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Location Type</strong></p>\n<p>Hybrid</p>\n<p><strong>Department</strong></p>\n<p>Consumer Products</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$293K – $325K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. 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Our internal tools power teams across hardware, operations, design, research, and software, enabling the organization to move quickly and operate at scale. We focus on usability, reliability, and security while supporting rapid iteration and experimentation.</p>\n<p><strong>About the Role</strong></p>\n<p>As a <strong>Full-Stack Engineer</strong>, you will design and build end-to-end web systems that serve both customers and internal teams. You’ll own the design and implementation of full-stack solutions—from early prototypes to production-ready systems—making thoughtful trade-offs around usability, security, and long-term maintainability.</p>\n<p>We’re looking for pragmatic builders with strong product instincts who move fast without compromising quality or security. You’ll work closely with designers, engineers, and cross-functional partners to identify pain points, prototype solutions, and take them from zero-to-one into reliable systems.</p>\n<p>This role is based in <strong>San Francisco, CA</strong>. We use a <strong>hybrid work model</strong> of four days in the office per week and offer <strong>relocation assistance</strong> to new employees.</p>\n<p><strong><strong>In this role, you will:</strong></strong></p>\n<ul>\n<li>Design, build, and maintain web applications for external customers.</li>\n<li>Design, build, and maintain internal tools used across hardware, research, design, operations, and software teams.</li>\n<li>Rapidly prototype and iterate on new tools in close collaboration with stakeholders.</li>\n<li>Architect and deliver full-stack solutions with a strong emphasis on usability and security.</li>\n<li>Evaluate third-party and open-source solutions and make sound build vs. buy decisions.</li>\n<li>Establish best practices for internal tooling, including code quality, reliability, and security.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have 7+ years of professional software engineering experience, with a focus on full-stack web development.</li>\n<li>Are proficient in rapidly building user-facing products and internal applications.</li>\n<li>Have experience working from zero-to-one on early-stage products and iterating quickly based on feedback.</li>\n<li>Bring a strong understanding of security principles and best practices for protecting sensitive data.</li>\n<li>Are familiar with a broad range of modern front-end and back-end frameworks and tools.</li>\n</ul>\n<p>_(Nice to have)_ Have experience building internal tools for multidisciplinary teams (hardware, research, operations).</p>\n<p>_(Nice to have)_ Have a track record of effectively selecting and integrating third-party or open-source solutions.</p>\n<p>_(Nice to have)_ Have strong design instincts and experience collaborating closely with designers.</p>\n<p>_(Nice to have)_ Are familiar with infrastructure and deployment for internal systems (e.g., containerization, CI/CD).</p>\n<p>_(Nice to have)_ Have experience balancing speed with security and reliability in production environments.</p>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. 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As people build a rich personal and organizational context in ChatGPT, they need systems that protect it, remember it, and let them share it securely across apps and agents. Without strong identity, context stays locked away or exposed. With it, AI becomes safe, personal, and truly useful, empowering users while keeping control firmly in their hands. Our team builds the trusted OpenAI account layer that connects people, enterprises, developers, and agents to OpenAI apps and the broader AI ecosystem.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Senior Software Engineer on the Identity team, you will build and evolve the foundational identity platform that serves all OpenAI users across our products. You’ll lead the design and implementation of core identity systems — including authentication, authorization, access control, and account management — enabling individuals, teams, and businesses to securely manage accounts at scale while keeping the user experience seamless. This role spans our entire product fleet, including ChatGPT, the API, Sora, Codex, and Atlas, and involves close collaboration with product and platform engineers who rely on identity as critical infrastructure. You’ll drive major architectural initiatives, mentor other engineers, and make platform-level decisions where security, correctness, and reliability are paramount.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Architect and build the next generation of Identity at OpenAI – including new use cases such as Agent identity and Sign In With ChatGPT</li>\n</ul>\n<ul>\n<li>Design and build our identity infrastructure for consumer internet scale, while also solving scalability bottlenecks as they arise.</li>\n</ul>\n<ul>\n<li>Build powerful identity primitives, APIs, and internal tooling that enable product teams across OpenAI to integrate seamlessly with the account and access-control layer.</li>\n</ul>\n<ul>\n<li>Collaborate closely with a broad set of stakeholders, including product, design, go-to-market, and other engineers.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Bring 7+ years of experience building and shipping production systems at product-driven technology companies, with a track record of owning meaningful technical scope.</li>\n</ul>\n<ul>\n<li>Care deeply about reliability, safety, and performance in production environments.</li>\n</ul>\n<ul>\n<li>Have experience or interest in Authentication, Authorization, Federation, and Identity Management.</li>\n</ul>\n<ul>\n<li>Naturally take ownership end-to-end, are comfortable navigating unfamiliar systems, and are eager to learn whatever’s needed to solve hard problems well.</li>\n</ul>\n<ul>\n<li>Thrive in fast-moving environments, bringing structure to ambiguous problems, balancing competing priorities, and making sound tradeoffs as the company and platform evolve.</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. 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Our goal in B2B applications is to enable this mission by helping businesses, enterprises &amp; governments redefine how they operate to empower people and accelerate economic growth.</p>\n<p>We build and operate the products that bring our cutting-edge research to millions of companies and developers worldwide. We power the OpenAI API and the Enterprise products that empower people around the world to do their jobs better and more efficiently. Our teams span product engineering, backend infrastructure, and safety, working together to ensure that OpenAI’s technology is delivered with reliability, security, and a world-class user experience.</p>\n<p><strong>About the Role</strong></p>\n<p>We’re looking for backend engineers to design and scale the systems that drive our developer and enterprise-facing products. In this role, you’ll architect and maintain the services and infrastructure that power OpenAI applications—from large-scale distributed systems and databases to APIs and data pipelines. You’ll collaborate closely with product, research, and infrastructure teams to bring new AI capabilities to production while ensuring performance, safety, and compliance at global scale.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Own the end-to-end development lifecycle for new platform capabilities and integrations with other systems</li>\n</ul>\n<ul>\n<li>Collaborate closely with product, design and external customers to understand problems and implement effective solutions</li>\n</ul>\n<ul>\n<li>Work with the research team to improve our next generation of models</li>\n</ul>\n<p><strong>Your background might look something like:</strong></p>\n<ul>\n<li>2+ years of professional engineering experience (excluding internships) in relevant roles at tech and product-driven companies</li>\n</ul>\n<ul>\n<li>Former founder, or early engineer at a startup who has built a product from scratch is a plus</li>\n</ul>\n<ul>\n<li>Are proficient in one or more backend languages (e.g., Python, Go, Rust, Typescript or similar) and distributed systems concepts.</li>\n</ul>\n<ul>\n<li>Enjoy building infrastructure that supports billions of requests and petabytes of data.</li>\n</ul>\n<ul>\n<li>Care deeply about reliability, safety, and performance in production environments.</li>\n</ul>\n<ul>\n<li>Interest in AI/ML (direct experience not required)</li>\n</ul>\n<ul>\n<li>Proven ability to thrive in fast-growing, product-driven companies by effectively navigating loosely defined tasks and managing competing priorities or deadlines.</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. 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