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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. 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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]. 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As a Production Scheduler, you will be responsible for planning, coordinating, and managing the flow of products through the production process. You will work on cutting-edge technology aimed at advancing the state-of-the-possible.</p>\n<p>Your primary responsibilities will include providing tactical scheduling and strategic long-range planning expertise to our production teams. You will coordinate, review, plan, and schedule inputs from the business and planning to create an integrated master schedule. You will also utilize Foundry and other applications to ensure work is scheduled and prioritized accurately and efficiently, and resources are allocated appropriately.</p>\n<p>In addition, you will prepare daily work schedules, track work progress, update project critical path schedules, and advise leadership of needed adjustments to daily work activities. 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As a Senior Support Engineer, you will provide expert-level service to our APJ customers, ensuring technical customer issues are serviced within our contractual SLA and managed to resolution.</p>\n<p>You will document and share your knowledge with the rest of the organization and our customers using Knowledge Centered-Services (KCS) methodology. You will also have a mindset of continuous improvement, in terms of efficiency of support processes and customer satisfaction.</p>\n<p>To be successful in this role, you will need to work across multi-cultural and geographically distributed teams. You will have 3+ years of proven experience in Technical Support in a Software business, a technical background in fields like Information Technology, Network Engineering, Software Engineering, and a &#39;Customer First&#39; mindset.</p>\n<p>You will be a team player, able to work in a fast-paced environment with a positive and adaptable approach. You will have knowledge of databases (SQL / No SQL) or search software technologies, experience with SaaS and/or Distributed systems, experience with Linux/Unix, experience with APIs, familiarity with Knowledge Centered-Services (KCS), and highly collaborative.</p>\n<p>Native Korean language skills and professional working proficiency in English are required, as well as effective verbal and written communication skills.</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_127228e6-c1a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Elastic","sameAs":"https://www.elastic.co/","logo":"https://logos.yubhub.co/elastic.co.png"},"x-apply-url":"https://job-boards.greenhouse.io/elastic/jobs/7712961","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Technical Support","Knowledge Centered-Services (KCS)","Databases (SQL / No SQL)","Search software technologies","SaaS and/or Distributed systems","Linux/Unix","APIs","Native Korean language skills","Professional working proficiency in English"],"x-skills-preferred":["Experience with administering and/or troubleshooting Elastic products in a production environment","Experience with Networking and/or Load Balancers","Experience with Kubernetes","Experience with Message Brokering (e.g. Kafka)"],"datePosted":"2026-04-18T15:52:25.490Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"South Korea"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Technical Support, Knowledge Centered-Services (KCS), Databases (SQL / No SQL), Search software technologies, SaaS and/or Distributed systems, Linux/Unix, APIs, Native Korean language skills, Professional working proficiency in English, Experience with administering and/or troubleshooting Elastic products in a production environment, Experience with Networking and/or Load Balancers, Experience with Kubernetes, Experience with Message Brokering (e.g. Kafka)"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4a6e477d-541"},"title":"Reliability Engineer - Road Runner","description":"<p>We are seeking an experienced Reliability Engineer to join our team in support of our Roadrunner product line. Roadrunner is a reusable, vertical take-off and landing (VTOL), operator-supervised Autonomous Air Vehicle (AAV) with twin turbojet engines and modular payload configurations that can support a variety of missions.</p>\n<p>As a Reliability Engineer at Anduril, you will leverage your extensive knowledge of advanced Reliability tools and methodologies to drive excellence in our Reliability programs. You will support the Systems, Hardware, &amp; Software Engineering teams across the product development lifecycle by guiding Failure Modes &amp; Effects Analysis, predictive analysis, qualification test planning, field performance monitoring, and root cause &amp; corrective action activities for your product(s).</p>\n<p>The right person for this role has knowledge of design and development with a reliability focus on unmanned aircraft systems, as well as exposure to test, analysis, manufacturing, and continuous improvement in a production environment. 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Degree in Mechanical Engineering, Aerospace Engineering, Systems Engineering, or equivalent technical discipline</li>\n<li>Experience with safety-critical hardware &amp; software systems in the defense or aerospace industry, with a preference for experience with unmanned drone or aircraft systems</li>\n<li>Experience or familiarity with MIL-STD-810, MIL-HDBK-217, MIL-STD-461, MIL-STD-516C, and MIL-STD-1629</li>\n<li>Experience setting up a Reliability Engineering framework for a product or program, including support of production testing, field testing, data acquisition, and data analysis</li>\n<li>Expertise in reliability analysis techniques, including FMEA/FMECA, predictive modeling, Weibull analysis, and Fault Tree Analysis</li>\n<li>Experience with generating qualification testing requirements and executing tests to proactively characterize product behavior and performance</li>\n<li>Failure investigation/analysis experience with proven track record of solving problems and preventing reoccurrence</li>\n<li>Design Review Experience (PDR, CDR, MRR) and confident in presentation skills across all levels of leadership</li>\n<li>Eligibility to obtain/maintain a U.S. Secret clearance, as required</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>M.S. 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prototype, and deploy LLM-based agentic systems that help solve real-world problems, leveraging the latest state-of-the-art techniques in the field.</p>\n<p>Work cross-functionally with different business lines across Anduril to help discover and scope new solutions.</p>\n<p>Develop and maintain data pipelines, feature engineering workflows, and model-serving components that support applied AI use cases across the yard.</p>\n<p>Learn and evangelize. You will be an expert on current AI technologies and trends (and their practical applications).</p>\n<p>Eligible to obtain and maintain an active U.S. Secret security clearance.</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_2ff43b0e-e77","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anduril Industries","sameAs":"https://anduril.com","logo":"https://logos.yubhub.co/anduril.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/andurilindustries/jobs/5090921007","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$191,000-$287,000 USD","x-skills-required":["AI mindset","Creative problem-solving skills","Raw intellectual horsepower","1-2 years of experience taking AI systems into production or 2-4 years of experience with traditional ML","Degree in Computer Science, Information Systems, Electrical Engineering or related technical degree","Experience using and optimizing AI coding assistants in a collaborative production environment","Strong stakeholder and cross-functional communication skills"],"x-skills-preferred":["Practical experience enabling agents, skills, MCP, and other emerging AI technologies in professional environment","Experience with process automation, event-driven architecture, and a modular / 'unix daemon' mindset on software","Experience in hyper growth startup-like environments, with demonstrated success in scaling and maturing software development processes","Familiarity with AWS"],"datePosted":"2026-04-18T15:47:43.192Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle, Washington, United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI mindset, Creative problem-solving skills, Raw intellectual horsepower, 1-2 years of experience taking AI systems into production or 2-4 years of experience with traditional ML, Degree in Computer Science, Information Systems, Electrical Engineering or related technical degree, Experience using and optimizing AI coding assistants in a collaborative production environment, Strong stakeholder and cross-functional communication skills, Practical experience enabling agents, skills, MCP, and other emerging AI technologies in professional environment, Experience with process automation, event-driven architecture, and a modular / 'unix daemon' mindset on software, Experience in hyper growth startup-like environments, with demonstrated success in scaling and maturing software development processes, Familiarity with AWS","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":191000,"maxValue":287000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_beda8a58-d75"},"title":"Staff Technical Producer","description":"<p>We&#39;re looking for a Staff Technical Producer to lead the execution and evolution of our internal live and hybrid production capabilities. 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. In addition to running critical productions, you&#39;ll define the workflows, and standards that power internal media across offices and remote environments globally.</p>\n<p>This is a highly cross-functional role requiring strong technical depth, operational excellence, and the ability to support a wide range of internal stakeholders.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Lead Internal Productions</li>\n<li>Own technical production for internal events including all-hands, executive communications, trainings, and internal broadcasts</li>\n<li>Serve as Technical Director or Lead Producer for high-visibility internal moments</li>\n<li>Ensure seamless delivery across in-room, livestream, and video conferencing audiences</li>\n<li>Build &amp; Scale Internal Production Systems</li>\n<li>Design and standardize workflows across internal event spaces, studios, and remote setups</li>\n<li>Define and maintain a production playbook to ensure consistency across internal events</li>\n<li>Improve and scale internal production infrastructure to support global teams</li>\n<li>Operate at a Deep Technical Level</li>\n<li>Lead multi-destination signal workflows (In room, live stream, recording, conferencing platforms)</li>\n<li>Integrate AV systems with internal tools (e.g., video conferencing platforms, collaboration tools)</li>\n<li>Troubleshoot live production issues quickly with minimal disruption to internal audiences</li>\n<li>Partner Across the Company</li>\n<li>Work directly with internal stakeholders (Execs, Comms, HR, Enablement, Events) to define production needs</li>\n<li>Translate business requirements into clear, executable production plans</li>\n<li>Coordinate internal teams and external vendors when needed</li>\n<li>Elevate Internal Experience Quality</li>\n<li>Continuously improve the quality, reliability, and scalability of internal productions</li>\n<li>Create training materials and documentation to enable self-service and team growth</li>\n<li>Mentor team members and elevate production capabilities across offices</li>\n</ul>\n<p><strong>What We&#39;re Looking For</strong></p>\n<ul>\n<li>Core Requirements</li>\n<li>8+ years in live production, broadcast, or media production roles</li>\n<li>Strong expertise in:</li>\n</ul>\n<p>+ Audio/video signal flow     + Video switching / technical direction     + Live streaming and remote production tools (e.g., VMix or similar)     + Experience supporting distributed or multi-location production environments</p>\n<ul>\n<li>Strong communication skills, especially when working with non-technical stakeholders</li>\n<li>Experience operating in fast-paced, high-growth environments</li>\n<li>BA/BS or equivalent practical experience</li>\n<li>Staff-Level Signals</li>\n<li>You&#39;ve supported executive-facing or high-visibility internal communications</li>\n<li>You design systems and workflows that scale across teams and locations</li>\n<li>You operate with high ownership and autonomy in ambiguous environments</li>\n<li>You proactively identify risks and ensure reliability for critical internal moments</li>\n<li>You influence stakeholders across functions without direct authority</li>\n<li>Nice to Have</li>\n<li>Experience supporting internal communications, corporate events, or enablement programs</li>\n<li>Familiarity with enterprise video conferencing and collaboration tools</li>\n<li>Experience with IP-based video (NDI, SRT, 2110) or cloud-based production workflows</li>\n<li>Background in motion graphics or internal content production</li>\n</ul>\n<p><strong>Why This Role Matters</strong></p>\n<p>Internal communication is critical to how Databricks operates and scales. 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. As a key member of our team, 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 is responsible for building systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes. You will work on high-impact systems that improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems.</p>\n<p>As a Senior Machine Learning Engineer, you will:</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. 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. The base salary range for this position is $216,700-$303,400 USD</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_fc38e24f-97e","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/6960831","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$216,700-$303,400 USD","x-skills-required":["Python","Java","Go","PyTorch","TensorFlow","XGBoost","Random Forests","Regressions","Transformers","CNNs","GNNs","Spark","Kafka","Ray","Airflow","BigQuery","Redis"],"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","Feature engineering","Model optimization","Production monitoring","LLM/Gen AI techniques","LLM evaluation","Alignment","Fine-tuning","Knowledge distillation","RAG/agentic systems"],"datePosted":"2026-04-18T15:45:58.533Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Java, Go, PyTorch, TensorFlow, XGBoost, Random Forests, Regressions, Transformers, CNNs, GNNs, Spark, Kafka, Ray, Airflow, BigQuery, Redis, 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, Feature engineering, Model optimization, Production monitoring, LLM/Gen AI techniques, LLM evaluation, Alignment, Fine-tuning, Knowledge distillation, RAG/agentic systems","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":216700,"maxValue":303400,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a3a1df2f-184"},"title":"Principal Engineer, Software Supply Chain Security","description":"<p>As the Principal Engineer, Software Supply Chain Security, you&#39;ll own the technical strategy that secures how software is built and delivered on GitLab&#39;s DevSecOps platform. You&#39;ll provide architectural leadership across multiple engineering teams.</p>\n<p>Your work will shape GitLab&#39;s enterprise security posture in the rapidly growing software supply chain security market. You&#39;ll focus on SLSA Level 3 compliance, secrets management, CI/CD security hardening, and the foundations of GitLab&#39;s global zero trust architecture.</p>\n<p>Some examples of our projects:</p>\n<ul>\n<li>SLSA Level 3 compliance and provenance attestation across GitLab&#39;s CI/CD platform</li>\n<li>Integrated secrets management and runner security for container-isolated, secure pipelines</li>\n</ul>\n<p>You&#39;ll lead the end-to-end software supply chain security architecture for GitLab&#39;s CI/CD platform, including SLSA Level 3 implementation and CI infrastructure hardening. You&#39;ll drive cross-team technical strategy and decisions across our Software Supply Chain Security (SSCS) stage teams, aligning engineering work to SSCS strategic plans.</p>\n<p>You&#39;ll collaborate with infrastructure and CI/CD teams to design and land long-term initiatives for secure, scalable runner architecture, container isolation, and pipeline security at scale. You&#39;ll propose and validate technical implementations that support architectural changes to improve CI/CD scaling and performance on critical paths.</p>\n<p>You&#39;ll teach, mentor, and coach Staff Engineers and individual contributors, raising the bar on supply chain threat modeling, secrets management, artifact signing, and SBOM lifecycle practices.</p>\n<p>You&#39;ll partner with Engineering Managers and senior leadership to define roadmaps, break down complex initiatives, and enable Staff Engineers to lead sub-department-wide efforts.</p>\n<p>You&#39;ll engage with customers and external stakeholders as a technical consultant and spokesperson for GitLab&#39;s software supply chain security capabilities and roadmap.</p>\n<p>You&#39;ll collaborate with product, security, and compliance stakeholders to ensure features meet enterprise security, governance, and regulatory expectations in the software supply chain security market.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Providing architectural leadership across multiple engineering teams</li>\n<li>Shaping GitLab&#39;s enterprise security posture in the rapidly growing software supply chain security market</li>\n<li>Focusing on SLSA Level 3 compliance, secrets management, CI/CD security hardening, and the foundations of GitLab&#39;s global zero trust architecture</li>\n</ul>\n<p>Key requirements include:</p>\n<ul>\n<li>Deep expertise in software supply chain security, including threat modeling for supply chain attack vectors, SLSA implementation and attestation systems, and SBOM generation and lifecycle management</li>\n<li>Strong knowledge of artifact signing and verification using the Sigstore ecosystem, including Cosign, Fulcio, Rekor, and in-toto attestations</li>\n<li>Experience designing and hardening CI/CD security, such as runner isolation, pipeline security controls, and secrets management in large-scale environments</li>\n</ul>\n<p>Preferred qualifications include:</p>\n<ul>\n<li>Background in distributed systems and infrastructure, including building resilient CI/CD platforms that process high pipeline volumes and optimizing performance for critical paths</li>\n<li>Practical experience with container security and Kubernetes security, including admission controllers, policy controllers, workload isolation, and registry hardening</li>\n<li>Proficiency in Go or Rust in a production environment, combined with expert-level understanding of CI/CD workflows and DevSecOps best practices</li>\n<li>Experience operating as a Principal or Staff Engineer across multiple development teams, providing architectural leadership and partnering with Engineering Managers and senior leaders</li>\n<li>Demonstrated capacity to clearly communicate complex problems and solutions</li>\n</ul>\n<p>Our Software Supply Chain Security stage engineering teams are responsible for authentication and access within GitLab. We also build features that help customers manage vulnerabilities, dependencies, security policies, and compliance frameworks across their organizations.</p>\n<p>The base salary range for this role&#39;s listed level is currently for residents of the United States only. This range is intended to reflect the role&#39;s base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits.</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_a3a1df2f-184","directApply":true,"hiringOrganization":{"@type":"Organization","name":"GitLab","sameAs":"https://about.gitlab.com/","logo":"https://logos.yubhub.co/about.gitlab.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/gitlab/jobs/8373553002","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$157,900-$338,400 USD","x-skills-required":["software supply chain security","threat modeling","SLSA implementation","attestation systems","SBOM generation","lifecycle management","artifact signing","verification","Sigstore ecosystem","Cosign","Fulcio","Rekor","in-toto attestations","CI/CD security","runner isolation","pipeline security controls","secrets management","distributed systems","infrastructure","container security","Kubernetes security","admission controllers","policy controllers","workload isolation","registry hardening","Go","Rust","CI/CD workflows","DevSecOps best practices"],"x-skills-preferred":["background in distributed systems and infrastructure","practical experience with container security and Kubernetes security","proficiency in Go or Rust in a production environment","expert-level understanding of CI/CD workflows and DevSecOps best practices","experience operating as a Principal or Staff Engineer across multiple development teams"],"datePosted":"2026-04-18T15:45:22.426Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote, Canada; Remote, Israel; Remote, Netherlands; Remote, United Kingdom; Remote, US"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"software supply chain security, threat modeling, SLSA implementation, attestation systems, SBOM generation, lifecycle management, artifact signing, verification, Sigstore ecosystem, Cosign, Fulcio, Rekor, in-toto attestations, CI/CD security, runner isolation, pipeline security controls, secrets management, distributed systems, infrastructure, container security, Kubernetes security, admission controllers, policy controllers, workload isolation, registry hardening, Go, Rust, CI/CD workflows, DevSecOps best practices, background in distributed systems and infrastructure, practical experience with container security and Kubernetes security, proficiency in Go or Rust in a production environment, expert-level understanding of CI/CD workflows and DevSecOps best practices, experience operating as a Principal or Staff Engineer across multiple development teams","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":157900,"maxValue":338400,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_061e824c-343"},"title":"Software Engineer: Distributed Systems (Infrastructure)","description":"<p>About Us</p>\n<p>At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world&#39;s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.</p>\n<p>We protect and accelerate any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.</p>\n<p>Responsibilities</p>\n<p>As a Software Engineer: Distributed Systems, you will be part of a Resiliency Organization responsible for the core services that power Cloudflare&#39;s global operations. We are looking for engineers to join the Infrastructure Intelligence team and shape the transition toward model-driven network orchestration.</p>\n<p>The team is building a cutting-edge &#39;Maintenance Coordination System&#39;, powered by an infrastructure dependency graph of one of the world&#39;s largest physical networks. This is a foundational step towards designing intelligent, autonomous systems that will transform the orchestration of Cloudflare&#39;s network.</p>\n<p>It forms the basis of many future projects to build the core data structures and services required to ensure our network optimization, network forecasting, and capacity planning are the state of the art. By creating the robust primitives for global coordination today, you will be enabling the next generation of data-driven infrastructure at Cloudflare.</p>\n<p>This is a unique opportunity to work on complex, globally distributed systems which underpin all Cloudflare products.</p>\n<p>Technologies we use:</p>\n<ul>\n<li>Cloudflare Workers, Workers KV, R2, and Durable Objects</li>\n</ul>\n<ul>\n<li>Kubernetes</li>\n</ul>\n<ul>\n<li>Go, Typescript, Python</li>\n</ul>\n<ul>\n<li>For service monitoring we use Prometheus, Grafana and Sentry</li>\n</ul>\n<p>Requirements</p>\n<ul>\n<li>A degree in Computer Science, Engineering, Mathematics, Statistics or related field; OR have relevant background/experience to the field.</li>\n</ul>\n<ul>\n<li>Programming experience in Go, or similar languages</li>\n</ul>\n<ul>\n<li>Experience in designing and implementing secure and highly-available distributed systems</li>\n</ul>\n<ul>\n<li>Experience (and love) for debugging to ensure the system works in all cases</li>\n</ul>\n<ul>\n<li>Experience with a continuous integration workflow and using source control (we use git)</li>\n</ul>\n<ul>\n<li>Experience with continuous delivery and deployment of a k8s hosted application</li>\n</ul>\n<ul>\n<li>Understanding of security issues and responsibilities</li>\n</ul>\n<ul>\n<li>Experience with monitoring, alerting and debugging high volume production systems</li>\n</ul>\n<ul>\n<li>Fluent in analyses of data sets such as logs</li>\n</ul>\n<ul>\n<li>Strong English language oral and written communications skills</li>\n</ul>\n<ul>\n<li>Designing and building APIs</li>\n</ul>\n<ul>\n<li>Experience with the Cloudflare development stack is a plus</li>\n</ul>\n<p>Examples of desirable skills, knowledge and experience</p>\n<ul>\n<li>At least 4 years of hands-on software development experience on meaningfully complex systems.</li>\n</ul>\n<ul>\n<li>Experience with graph theory and building services for graph generation, storage and retrieval.</li>\n</ul>\n<ul>\n<li>An understanding of the systems architecture required to scale machine learning model-driven decision engines in a production environment</li>\n</ul>\n<ul>\n<li>Experience building both backend systems and frontend widgets.</li>\n</ul>\n<ul>\n<li>Ability to contribute to planning, development, and execution to meet commitments and deliver with predictability.</li>\n</ul>\n<ul>\n<li>Experience implementing tools, processes, internal instrumentation, and methodologies.</li>\n</ul>\n<ul>\n<li>Comfortable working on projects with tight deadlines and short release cycles.</li>\n</ul>\n<ul>\n<li>Strong verbal and written English language skills.</li>\n</ul>\n<ul>\n<li>Experience with DCIM, CMDB, IPAM, and other Data Center and Asset Lifecycle Management tools is a plus.</li>\n</ul>\n<ul>\n<li>Experience with data ingestion and analysis - pulling metrics from hundreds of edge data centers.</li>\n</ul>\n<p>Compensation</p>\n<p>For Washington D.C. based hires: Estimated annual salary of $140,000 - 172,000.</p>\n<p>Equity</p>\n<p>This role is eligible to participate in Cloudflare&#39;s equity plan.</p>\n<p>Benefits</p>\n<p>Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!</p>\n<p>The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.</p>\n<p>Health &amp; Welfare Benefits</p>\n<ul>\n<li>Medical/Rx Insurance</li>\n</ul>\n<ul>\n<li>Dental Insurance</li>\n</ul>\n<ul>\n<li>Vision Insurance</li>\n</ul>\n<ul>\n<li>Flexible Spending Accounts</li>\n</ul>\n<ul>\n<li>Commuter Spending Accounts</li>\n</ul>\n<ul>\n<li>Fertility &amp; Family Forming Benefits</li>\n</ul>\n<ul>\n<li>On-demand mental health support and Employee Assistance Program</li>\n</ul>\n<ul>\n<li>Global Travel Medical Insurance</li>\n</ul>\n<p>Financial Benefits</p>\n<ul>\n<li>Short and Long Term Disability Insurance</li>\n</ul>\n<ul>\n<li>Life &amp; Accident Insurance</li>\n</ul>\n<ul>\n<li>401(k) Retirement Savings Plan</li>\n</ul>\n<ul>\n<li>Employee Stock Participation Plan</li>\n</ul>\n<p>Time Off</p>\n<ul>\n<li>Flexible paid time off covering vacation and sick leave</li>\n</ul>\n<ul>\n<li>Leave programs, including parental, pregnancy health, medical, and bereavement leave</li>\n</ul>\n<p>What Makes Cloudflare Special?</p>\n<p>We&#39;re not just a highly ambitious, large-scale technology company. We&#39;re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.</p>\n<p>Project Galileo: Since 2014, we&#39;ve equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare&#39;s enterprise customers--at no cost.</p>\n<p>Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we&#39;ve provided services to more than 425 local government election websites in 33 states.</p>\n<p>1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever built.</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_061e824c-343","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Cloudflare","sameAs":"https://www.cloudflare.com/","logo":"https://logos.yubhub.co/cloudflare.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/cloudflare/jobs/7088208","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Programming experience in Go, or similar languages","Experience in designing and implementing secure and highly-available distributed systems","Experience (and love) for debugging to ensure the system works in all cases","Experience with a continuous integration workflow and using source control (we use git)","Experience with continuous delivery and deployment of a k8s hosted application","Understanding of security issues and responsibilities","Experience with monitoring, alerting and debugging high volume production systems","Fluent in analyses of data sets such as logs","Strong English language oral and written communications skills","Designing and building APIs","Experience with the Cloudflare development stack is a plus"],"x-skills-preferred":["At least 4 years of hands-on software development experience on meaningfully complex systems","Experience with graph theory and building services for graph generation, storage and retrieval","An understanding of the systems architecture required to scale machine learning model-driven decision engines in a production environment","Experience building both backend systems and frontend widgets","Ability to contribute to planning, development, and execution to meet commitments and deliver with predictability","Experience implementing tools, processes, internal instrumentation, and methodologies","Comfortable working on projects with tight deadlines and short release cycles","Strong verbal and written English language skills","Experience with DCIM, CMDB, IPAM, and other Data Center and Asset Lifecycle Management tools is a plus","Experience with data ingestion and analysis - pulling metrics from hundreds of edge data centers"],"datePosted":"2026-04-18T15:45:07.400Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hybrid"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Programming experience in Go, or similar languages, Experience in designing and implementing secure and highly-available distributed systems, Experience (and love) for debugging to ensure the system works in all cases, Experience with a continuous integration workflow and using source control (we use git), Experience with continuous delivery and deployment of a k8s hosted application, Understanding of security issues and responsibilities, Experience with monitoring, alerting and debugging high volume production systems, Fluent in analyses of data sets such as logs, Strong English language oral and written communications skills, Designing and building APIs, Experience with the Cloudflare development stack is a plus, At least 4 years of hands-on software development experience on meaningfully complex systems, Experience with graph theory and building services for graph generation, storage and retrieval, An understanding of the systems architecture required to scale machine learning model-driven decision engines in a production environment, Experience building both backend systems and frontend widgets, Ability to contribute to planning, development, and execution to meet commitments and deliver with predictability, Experience implementing tools, processes, internal instrumentation, and methodologies, Comfortable working on projects with tight deadlines and short release cycles, Strong verbal and written English language skills, Experience with DCIM, CMDB, IPAM, and other Data Center and Asset Lifecycle Management tools is a plus, Experience with data ingestion and analysis - pulling metrics from hundreds of edge data centers"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d8e9f3a9-77b"},"title":"Intermediate Backend Engineer (C), Tenant Scale: Git","description":"<p>As a Backend Engineer on the Tenant Scale: Git team, you&#39;ll contribute to improving one of the most widely used foundations of modern software development: Git. Git is at the core of how developers collaborate, and this role focuses on making Git and Gitaly more capable, reliable, and efficient for GitLab and the people who use our platform.</p>\n<p>You&#39;ll participate in architectural discussions and technical decisions related to Git and Gitaly, helping drive implementation choices that improve correctness, performance, and maintainability. You&#39;ll contribute features, bug fixes, and performance improvements to upstream Git in line with team and community goals, delivering changes that improve repository access and reliability for users.</p>\n<p>Adapt Gitaly to make effective use of Git capabilities, including integrating newly available features to improve scalability, efficiency, and long-term maintainability. Connect discussions in the open source Git project with GitLab&#39;s product direction and engineering work, helping align upstream contributions with product and platform needs.</p>\n<p>Scope tasks, estimate effort, and describe implementation plans that support the team&#39;s priorities and enable predictable delivery of technical work. Test and validate the features you build and integrate, with a focus on correctness and reliability to reduce regressions and support stable production use.</p>\n<p>Collaborate with team members, contributors, and the Git ecosystem. Represent GitLab as a constructive participant in the open source ecosystem, building productive relationships that support ongoing collaboration with the Git community.</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_d8e9f3a9-77b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"GitLab","sameAs":"https://about.gitlab.com/","logo":"https://logos.yubhub.co/about.gitlab.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/gitlab/jobs/8497793002","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Git internals","C programming language","Go for backend development","Linux internals","Open source projects","Distributed systems","Storage formats","Graph theory","Highly available production environments"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:43:30.153Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote, India"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Git internals, C programming language, Go for backend development, Linux internals, Open source projects, Distributed systems, Storage formats, Graph theory, Highly available production environments"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3c016574-3d3"},"title":"Technical Program Manager, Robotics Operations - London","description":"<p>We are seeking a Technical Program Manager to support the Google DeepMind Robotics research organization by providing robot platforms, lab spaces, data collection and policy evaluation resources to solve &#39;Embodied AI&#39;.</p>\n<p>As a Technical Program Manager on the Robotics Operations team, you will apply program management methodologies to multiple research initiatives to accelerate Google DeepMind&#39;s Embodied AI goals in a safe and responsible way.</p>\n<p>Key responsibilities include partnering closely with data collection teams, research teams, and the Engineering team to establish and govern internal data collection efforts, ensure seamless delivery of new evaluations and data collections, and oversee design and implementation of new environments for data collection or robot platform modifications.</p>\n<p>You will also monitor and report on operational efficiency and resource utilization metrics, evaluate and improve processes, tools, templates, and documentation for repeatability and sustainability, and implement processes and methodologies to reduce operational costs.</p>\n<p>To succeed in this role, you must thrive in a fast-paced environment and effectively manage cross-functional teams to deliver exceptional value to and accelerate Google DeepMind&#39;s research through strategic cross-functional partnerships.</p>\n<p>In order to set you up for success as a Technical Program Manager at Google DeepMind, we look for the following skills and experience:</p>\n<ul>\n<li>Experience partnering with Research/Engineering leads on high impact, goal-oriented projects.</li>\n<li>Bachelor&#39;s degree in an engineering discipline along with equivalent practical experience of 5+ years.</li>\n<li>Demonstrated ability to improve processes, workflows, and governance models to enhance efficiency within development teams.</li>\n<li>Excellent technical understanding and communication ability, with the ability to distill sophisticated technical ideas to their essence.</li>\n<li>Experience in solving complex challenges, implementing scalable and sustainable solutions.</li>\n<li>Knowledge of, or curious to learn about AI/machine learning research.</li>\n<li>Familiar with hardware and software testing and associated safety protocol.</li>\n</ul>\n<p>In addition, the following would be an advantage:</p>\n<ul>\n<li>Robotics domain knowledge and experience.</li>\n<li>Master&#39;s degree in a relevant field (Robotics/AI).</li>\n<li>Experience managing operational teams.</li>\n<li>Experience in a technical lab or production environment.</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_3c016574-3d3","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Google DeepMind","sameAs":"https://deepmind.com/","logo":"https://logos.yubhub.co/deepmind.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/deepmind/jobs/7681751","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["program management methodologies","robotics","data collection","policy evaluation","AI/machine learning research","hardware and software testing","safety protocol"],"x-skills-preferred":["robotics domain knowledge","experience managing operational teams","experience in a technical lab or production environment"],"datePosted":"2026-04-18T15:38:36.997Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"program management methodologies, robotics, data collection, policy evaluation, AI/machine learning research, hardware and software testing, safety protocol, robotics domain knowledge, experience managing operational teams, experience in a technical lab or production environment"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2e513a92-ec5"},"title":"Research Scientist (Generative Modeling)","description":"<p>We are seeking a talented Research Scientist with a strong background in generative modeling, particularly diffusion models, to join our modeling team. This role is ideal for candidates with deep expertise in diffusion models applied to images, videos, or 3D assets and scenes.</p>\n<p>While experience in one or more of the following areas is a strong plus: large-scale model training, research in 3D computer vision.</p>\n<p>You will collaborate closely with researchers, engineers, and product teams to bring advanced 3D modeling and machine learning techniques into real-world applications, ensuring that our technology remains at the forefront of visual innovation. This role involves significant hands-on research and engineering work, driving projects from conceptualization through to production deployment.</p>\n<p>Key responsibilities include designing, implementing, and training large-scale diffusion models for generating 3D worlds, developing and experimenting with large-scale diffusion models to add novel control signals, adapting to target aesthetic preferences, or distilling for efficient inference, collaborating closely with research and product teams to understand and translate product requirements into effective technical roadmaps, contributing hands-on to all stages of model development including data curation, experimentation, evaluation, and deployment, continuously exploring and integrating cutting-edge research in diffusion and generative AI more broadly, acting as a key technical resource within the team, mentoring colleagues, and driving best practices in generative modeling and ML engineering.</p>\n<p>Ideal candidate profile includes 3+ years of experience in generative modeling or applied ML roles, extensive experience with machine learning frameworks such as PyTorch or TensorFlow, especially in the context of diffusion models and other generative models, deep expertise in at least one area of generative modeling, strong history of publications or open-source contributions involving large-scale diffusion models, strong coding proficiency in Python and experience with GPU-accelerated computing, ability to engage effectively with researchers and cross-functional teams, clearly translating complex technical ideas into actionable tasks and outcomes, comfortable operating within a dynamic startup environment with high levels of ambiguity, ownership, and innovation.</p>\n<p>Nice to have includes contributions to open-source projects in the fields of computer vision, graphics, or ML, familiarity with large-scale training infrastructure, experience integrating machine learning models into production environments, led or been involved with the development or training of large-scale, state-of-the-art generative models.</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_2e513a92-ec5","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/4089324009","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$250,000 - $325,000 base salary (good-faith estimate for San Francisco Bay Area upon hire; actual offer based on experience, skills, and qualifications)","x-skills-required":["generative modeling","diffusion models","PyTorch","TensorFlow","machine learning frameworks","large-scale model training","research in 3D computer vision","data curation","experimentation","evaluation","deployment","GPU-accelerated computing","Python"],"x-skills-preferred":["open-source contributions","large-scale training infrastructure","integrating machine learning models into production environments","leading or being involved with the development or training of large-scale, state-of-the-art generative models"],"datePosted":"2026-04-17T13:09:56.134Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"generative modeling, diffusion models, PyTorch, TensorFlow, machine learning frameworks, large-scale model training, research in 3D computer vision, data curation, experimentation, evaluation, deployment, GPU-accelerated computing, Python, open-source contributions, large-scale training infrastructure, integrating machine learning models into production environments, leading or being involved with the development or training of large-scale, state-of-the-art generative models","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":250000,"maxValue":325000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_22e2b8bb-55b"},"title":"Cybersecurity Officer","description":"<p>As the Cybersecurity Officer for Waymark, you will be responsible for advancing our core mission through the development of robust programs encompassing information security. As an organization working with patients and providers to improve health outcomes, it is critical to build and maintain appropriate systems and safeguards designed to protect the integrity and confidentiality of information.</p>\n<p>You are technical, a strong operator, and strategic thinker, looking to build, improve, and scale reliable security processes whenever possible. Your leadership of the information security program at Waymark will include all facets of cybersecurity, and the associated user experience of our remote teams, and community-based care workers. You will be responsible for security policy and implementation and operation of technical and administrative safeguards to support those policies. You will use your experience to inform sound judgement to achieve the appropriate management of security risks in a manner consistent with the company’s values. You will use your in-depth knowledge of security in a modern cloud based organization, to identify and address risks to the company, through a combination of hands-on technical contributions and directing and overseeing staff with security responsibilities. You will interact with the broader executive leadership team to communicate evolving needs, matching the security strategy to the size and stage of growth of the company and the information we safeguard.</p>\n<p>This is a remote friendly position that can be located anywhere in the United States.</p>\n<p><strong>Key Responsibilities &amp; Duties</strong></p>\n<ul>\n<li>Oversee the internal cybersecurity program, road map, and strategy, which includes developing and implementing procedures and policies designed to protect Waymark communications, systems, and assets from internal and external threats and that safeguards health information.</li>\n<li>Oversee and manage Waymark’s MSSP and outsourced IT vendor, including responsibility for security and IT budgets, and IT tools used by Waymark.</li>\n<li>Partner with Product, Engineering, Legal, and Compliance leadership to determine risks and deploy risk management processes, supporting Waymark’s secure software development lifecycle and ensuring that our internally developed products and services meet the expectations of our patients, customers and regulators</li>\n<li>Own, define and oversee the necessary security operational functions such as Identity Management, Vulnerability Management, Incident Response, Security Awareness, and Vendor Risk Management</li>\n<li>Serve as Waymark’s HIPAA Security Officer, ensuring compliance with the HIPAA Security Rule, working closely with the legal team to document, review, maintain, and implement standards, policies, and procedures within security disciplines.</li>\n<li>Lead the strategy, implementation, and maintenance of industry-standard security certifications, including SOC2 Type II.</li>\n<li>Conduct research, analysis, and correlation across a wide variety of source data to identify and prevent compromise of our networks, host systems, and data.</li>\n<li>Track and report on network security to the Waymark executive leadership team</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_22e2b8bb-55b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Waymark","sameAs":"https://www.waymark.com/","logo":"https://logos.yubhub.co/waymark.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/waymark/jobs/4675847005","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$140,000 - $185,000","x-skills-required":["BSCS or equivalent experience in an operational security role","10+ years of experience in security and/or information assurance roles, and risk management","Knowledge of information security management frameworks, such as NIST cybersecurity framework","Experience and/or ability to learn and apply hands-on skills in a cloud native production environment","Experience implementing cloud security technologies, including encryption, network security, intrusion detection, and could monitoring"],"x-skills-preferred":["Key industry certifications in information security, such as CISSP, CISM and CISA","Experience in a startup of 100 - 500 people","Experience with securing a production SaaS product hosted in AWS","Experience conducting or managing technical audit engagements, or directly responding to auditor inquiries"],"datePosted":"2026-04-17T13:07:42.117Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"US - Remote"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"IT","industry":"Healthcare","skills":"BSCS or equivalent experience in an operational security role, 10+ years of experience in security and/or information assurance roles, and risk management, Knowledge of information security management frameworks, such as NIST cybersecurity framework, Experience and/or ability to learn and apply hands-on skills in a cloud native production environment, Experience implementing cloud security technologies, including encryption, network security, intrusion detection, and could monitoring, Key industry certifications in information security, such as CISSP, CISM and CISA, Experience in a startup of 100 - 500 people, Experience with securing a production SaaS product hosted in AWS, Experience conducting or managing technical audit engagements, or directly responding to auditor inquiries","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":140000,"maxValue":185000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_cdf5e898-662"},"title":"Electrical CAD Administrator","description":"<p>We are seeking an Electrical CAD Administrator responsible for owning and maintaining the electrical CAD and PLM systems that support EWIS design, drafting, and production. This role ensures the accuracy, consistency, and scalability of electrical design data across CAD tools and product lifecycle systems.</p>\n<p>The Electrical CAD Administrator works closely with EWIS engineers, electrical draftsmen, manufacturing, and configuration management to maintain clean libraries, enforce standards, and improve ECAD workflows. 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Skills:</p>\n<ul>\n<li>5+ years of experience in ECAD administration, electrical drafting support, or configuration management.</li>\n<li>Hands-on experience with an enterprise ECAD platform such as Zuken E3, Siemens Capital, Mentor Graphics, Altium, or similar.</li>\n<li>Experience supporting electrical or electromechanical components within CAD environments such as Siemens NX or equivalent systems.</li>\n<li>Working knowledge of PLM/PDM systems such as Teamcenter, Windchill, ENOVIA, or equivalent.</li>\n<li>Strong understanding of electrical documentation, library management, and configuration control.</li>\n<li>Ability to develop, enforce, and improve CAD standards, templates, and workflows.</li>\n<li>Strong attention to detail and commitment to data quality and accuracy.</li>\n<li>Ability to support and train users across engineering, drafting, and manufacturing teams.</li>\n<li>Familiarity with electrical design workflows in aerospace, defense, maritime, or other complex hardware environments.</li>\n<li>Strong problem-solving skills and ability to work independently and collaboratively.</li>\n</ul>\n<p>Physical Demands:</p>\n<ul>\n<li>Prolonged periods of sitting at a desk and working on a computer</li>\n<li>Occasional standing and walking within the office</li>\n<li>Manual dexterity to operate a computer keyboard, mouse, and other office equipment</li>\n<li>Visual acuity to read screens, documents, and reports</li>\n<li>Occasional reaching, bending, or stooping to access file drawers, cabinets, or office supplies</li>\n<li>Lifting and carrying items up to 20 pounds occasionally (e.g., office supplies, packages)</li>\n</ul>\n<p>Additional Information:</p>\n<ul>\n<li>Benefits: Medical Insurance, Dental and Vision Insurance, Time Off, Parental Leave, Competitive Salary, Retirement Plan, Stock Options, Life and Disability Insurance, Pet Insurance</li>\n<li>This role requires access to export-controlled information or items that require “U.S. Person” status.</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_cdf5e898-662","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Saronic Technologies","sameAs":"https://www.saronictechnologies.com","logo":"https://logos.yubhub.co/saronictechnologies.com.png"},"x-apply-url":"https://jobs.lever.co/saronic/2376b2e3-aec0-4d1b-a199-76b406d44297","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["ECAD administration","electrical drafting support","configuration management","enterprise ECAD systems","CAD-integrated PLM systems","electrical documentation","configuration control","data integrity","electrical design data","production environment"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:58:11.236Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"ECAD administration, electrical drafting support, configuration management, enterprise ECAD systems, CAD-integrated PLM systems, electrical documentation, configuration control, data integrity, electrical design data, production environment"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d610233a-e8c"},"title":"IT / Operational Technology (OT) Support Technician","description":"<p>We&#39;re seeking an IT / Operational Technology (OT) Support Technician to provide hands-on technical support across our manufacturing environment. This role sits at the intersection of IT and production, ensuring that critical systems operate reliably and efficiently.</p>\n<p>As a key partner to IT, manufacturing, and operations teams, you will support day-to-day production activities while driving continuous improvement in systems, processes, and uptime.</p>\n<p>Responsibilities:\nProvide frontline and escalated support for manufacturing systems and operational technology, including Zebra printers, barcode scanners, production workstations, and manufacturing applications.\nTroubleshoot and resolve hardware, software, application, and network issues impacting production, with urgency and precision to minimize downtime.\nAct as a primary responder for manufacturing system incidents and coordinate cross-functional resolution efforts when necessary.\nSupport data-related tasks and production workflows, including basic query troubleshooting (SQL, Splunk; Python is a plus).</p>\n<p>Qualifications:\nAssociate&#39;s or Bachelor&#39;s degree in Information Technology, Computer Science, or related field (or equivalent experience).\n3+ years of experience in technical support, IT/OT, or a similar role.\nProficiency in troubleshooting hardware, software, and networking issues.\nExcellent communication and customer service skills, with the ability to explain technical issues to non-technical users.\nStrong problem-solving mindset, attention to detail, and ability to prioritize tasks effectively.</p>\n<p>Preferred Qualifications:\nExperience with manufacturing systems (MES, PLCs, SCADA).\nExperience with industrial label printers (Zebra, ZPL, BarTender, etc.).\nExperience supporting production environments or shop-floor systems.</p>\n<p>Benefits:\nMedical Insurance: Comprehensive health insurance plans covering a range of services.\nSaronic pays 100% of the premium for employees and 80% for dependents.\nDental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care.\nSaronic pays 100% of the premium under the basic plan for employees and 80% for dependents.\nTime Off: Generous PTO and Holidays.\nParental Leave: Paid maternity and paternity leave to support new parents.\nCompetitive Salary: Industry-standard salaries with opportunities for performance-based bonuses.\nRetirement Plan: 401(k) plan with company match.\nStock Options: Equity options to give employees a stake in the company&#39;s success.\nLife and Disability Insurance: Basic life insurance and short- and long-term disability coverage.\nPet Insurance: Discounted pet insurance options including 24/7 Telehealth helpline.\nAdditional Perks: Free lunch benefit and unlimited free drinks and snacks in the office</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_d610233a-e8c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Saronic Technologies","sameAs":"https://www.saronictechnologies.com/","logo":"https://logos.yubhub.co/saronictechnologies.com.png"},"x-apply-url":"https://jobs.lever.co/saronic/febaa573-52cf-4baf-b404-8fc0058562af","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["troubleshooting","hardware","software","networking","SQL","Splunk","Python"],"x-skills-preferred":["manufacturing systems","industrial label printers","production environments"],"datePosted":"2026-04-17T12:58:04.211Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"IT","industry":"Technology","skills":"troubleshooting, hardware, software, networking, SQL, Splunk, Python, manufacturing systems, industrial label printers, production environments"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8f8547c3-db3"},"title":"Trim & Drill – Composites Technician","description":"<p>As a Trim &amp; Drill – Composites Technician, you&#39;ll be responsible for trimming, drilling, shaping, and post-processing composite components such as hulls and decks,and small structural parts,ensuring they meet tight tolerances and exacting quality standards for DoD use.</p>\n<p>This is a hands-on, detail-driven role that requires craftsmanship and consistency.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Trim, cut, and grind composite parts using hand tools, pneumatic tools, and shop equipment</li>\n<li>Interpret trim outlines, edge tolerances, and technical drawings to guide finishing operations</li>\n<li>Deburr edges, prepare bonding surfaces, and ensure accurate fitment to mating components</li>\n<li>Use jigs, templates, and measurement tools (calipers, tape, gauges) to verify part geometry</li>\n<li>Perform surface prep for painting, bonding, or secondary assembly</li>\n<li>Maintain cleanliness, safety, and organization of grinding and trim areas</li>\n<li>Identify defects, report nonconformances, and assist in rework or repair processes</li>\n<li>Collaborate with layup, infusion, and quality teams to ensure seamless production flow</li>\n<li>Accurately document work and support process improvements</li>\n<li>Use a tablet</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>1–3 years of hands-on experience trimming large and small composite or fiberglass parts</li>\n<li>Work with a sense of urgency</li>\n<li>Skilled with grinders, sanders, Dremels, saws, pneumatic drills, pneumatic saws, etc</li>\n<li>Ability to interpret engineering drawings and work instructions</li>\n<li>Familiarity with composite materials including carbon fiber, fiberglass, and core structures</li>\n<li>Strong attention to detail and a safety-first mindset</li>\n<li>Physical ability to lift parts, stand for long periods, and work in protective equipment</li>\n<li>U.S. Person status (citizen or permanent resident) required for DoD-related work</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Experience with aerospace, marine, or defense composite components</li>\n<li>Knowledge of bonded assembly and surface prep techniques</li>\n<li>Exposure to AS9100 or ISO 9001 production environments</li>\n<li>Experience with jigs and fixtures for composite assembly</li>\n<li>Forklift or material handling experience is a plus</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Medical Insurance: Comprehensive health insurance plans covering a range of services</li>\n<li>Saronic pays 100% of the premium for employees and 80% for dependents</li>\n<li>Dental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care</li>\n<li>Saronic pays 99% of the premium for employees and 80% for dependents</li>\n<li>Time Off: Generous PTO and Holidays</li>\n<li>Parental Leave: Paid maternity and paternity leave to support new parents</li>\n<li>Competitive Salary: Industry-standard salaries with opportunities for performance-based bonuses</li>\n<li>Retirement Plan: 401(k) plan</li>\n<li>Stock Options: Equity options to give employees a stake in the company’s success</li>\n<li>Life and Disability Insurance: Basic life insurance and short- and long-term disability coverage</li>\n<li>Additional Perks: Free lunch benefit and unlimited free drinks and snacks in the office</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_8f8547c3-db3","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Saronic Technologies","sameAs":"https://www.saronictechnologies.com/","logo":"https://logos.yubhub.co/saronictechnologies.com.png"},"x-apply-url":"https://jobs.lever.co/saronic/955db832-dd1f-47d0-894f-336a033fd72d","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["trimming composite parts","grinding composite parts","interpreting technical drawings","deburring edges","preparing bonding surfaces","using jigs and templates","performing surface prep","maintaining cleanliness and safety","identifying defects","collaborating with teams","accurately documenting work"],"x-skills-preferred":["aerospace composite components","marine composite components","defense composite components","bonded assembly techniques","surface prep techniques","AS9100 production environments","ISO 9001 production environments","jigs and fixtures for composite assembly","forklift or material handling experience"],"datePosted":"2026-04-17T12:57:46.913Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"trimming composite parts, grinding composite parts, interpreting technical drawings, deburring edges, preparing bonding surfaces, using jigs and templates, performing surface prep, maintaining cleanliness and safety, identifying defects, collaborating with teams, accurately documenting work, aerospace composite components, marine composite components, defense composite components, bonded assembly techniques, surface prep techniques, AS9100 production environments, ISO 9001 production environments, jigs and fixtures for composite assembly, forklift or material handling experience"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6186a306-374"},"title":"Head of Engineering (AI)","description":"<p><strong>Head of Engineering (AI)</strong></p>\n<p>At Fuse Energy, we&#39;re on a mission to deliver a terawatt of renewable energy - fast. We&#39;re combining first-principles thinking with cutting-edge technology to build a radically better energy system.</p>\n<p>As the Head of Engineering (AI) at Fuse Energy, you will lead the development and integration of AI across our platform—from intelligent forecasting models and optimization algorithms to personalized customer experiences and internal automation.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Own the AI engineering roadmap and lead the development of AI-first features</li>\n<li>Productionize ML models, ensuring scalability, performance, and observability</li>\n<li>Design the infrastructure for deploying and maintaining ML systems in production (e.g., MLOps, CI/CD for ML, model versioning)</li>\n<li>Build systems that integrate AI into key parts of our stack, such as:</li>\n<li>Forecasting customer demand and renewable generation</li>\n<li>Dynamic pricing and energy trading algorithms</li>\n<li>Intelligent alerts and personalized customer features</li>\n<li>Work closely with product and engineering leadership to identify high-impact AI opportunities</li>\n<li>Build and lead a high-performing team of AI engineers</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Strong software engineering background with 5+ years of experience, including at least 2 years leading AI/ML engineering teams</li>\n<li>Deep experience deploying ML models into production environments</li>\n<li>Proficiency in designing scalable data pipelines and real-time inference systems</li>\n<li>Understanding of modern ML tooling and frameworks (e.g., PyTorch, TensorFlow, MLflow, AWS SageMaker)</li>\n<li>Strong cross-functional collaboration skills, particularly with data science and product teams</li>\n<li>Clear communication and an ability to prioritize for both experimentation and reliability</li>\n</ul>\n<p><strong>Bonus</strong></p>\n<ul>\n<li>Familiarity with optimization, time series modeling, or forecasting</li>\n<li>Experience with large language models (LLMs), RAG, or generative AI in production</li>\n<li>Background in MLOps or AI infrastructure at scale</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary and an equity sign-on bonus</li>\n<li>Biannual bonus scheme</li>\n<li>Fully expensed tech to match your needs</li>\n<li>Paid annual leave</li>\n<li>Breakfast and dinner allowance for office-based employees</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_6186a306-374","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Fuse Energy","sameAs":"https://jobs.workable.com","logo":"https://logos.yubhub.co/view.com.png"},"x-apply-url":"https://jobs.workable.com/view/xz8u7PJwq8wtrGKdHBNFmd/hybrid-head-of-engineering-(ai)-in-dubai-at-fuse-energy","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Strong software engineering background","Deep experience deploying ML models into production environments","Proficiency in designing scalable data pipelines and real-time inference systems","Understanding of modern ML tooling and frameworks","Strong cross-functional collaboration skills"],"x-skills-preferred":["Familiarity with optimization, time series modeling, or forecasting","Experience with large language models (LLMs), RAG, or generative AI in production","Background in MLOps or AI infrastructure at scale"],"datePosted":"2026-03-09T16:57:47.100Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dubai"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Strong software engineering background, Deep experience deploying ML models into production environments, Proficiency in designing scalable data pipelines and real-time inference systems, Understanding of modern ML tooling and frameworks, Strong cross-functional collaboration skills, Familiarity with optimization, time series modeling, or forecasting, Experience with large language models (LLMs), RAG, or generative AI in production, Background in MLOps or AI infrastructure at scale"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2e9a47c0-174"},"title":"Digital Content Producer","description":"<p>You will join a community of passionate individuals who care about our sport and are united in seeing it grow. We seek a talented professional to join our team as a Digital Content Producer based in our Charlotte, North Carolina office.</p>\n<p>The Digital Content Producer plays a critical role in the creation of innovative and captivating content with a primary focus on YouTube and crossover opportunities across NASCAR&#39;s broader digital platforms. This role blends creative storytelling with strategic platform expertise.</p>\n<p><strong>Duties</strong></p>\n<ul>\n<li>Ideate, produce, and edit engaging videos that elevate the NASCAR brand, highlight its drivers and culture, and grow our fan base through platform-native, audience-first storytelling.</li>\n<li>Develop and produce original YouTube-first content that entertains, informs, and connects fans to the sport, its personalities, and its culture.</li>\n<li>Contribute to all aspects of the creative process — from concept through delivery — including ideation, scripting, shooting, and editing of long-form, episodic, and short-form video content.</li>\n<li>Experiment with new storytelling formats, leveraging YouTube-native tools (e.g., thumbnails, end screens, playlists) and best practices for audience growth, watch time, and retention.</li>\n<li>Collaborate across teams (social, marketing, editorial, production) to create shot lists and content plans for race weekends, events, and off-track features.</li>\n<li>Travel as needed to races and events to shoot and produce content that brings the NASCAR experience to life.</li>\n<li>Oversee projects to ensure quality, timeliness, and creative alignment with NASCAR&#39;s voice and goals.</li>\n<li>Stay current on digital trends, audience behaviours, and platform updates to continually evolve NASCAR&#39;s YouTube and social presence.</li>\n<li>Travel: 30%, including weekends during race seasons.</li>\n</ul>\n<p><strong>Required Skills/Experience</strong></p>\n<ul>\n<li>Bachelor&#39;s degree or equivalent from a four-year college or university.</li>\n<li>Minimum of four years&#39; related experience; or equivalent combination of education and experience. 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If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p>More details about our benefits are available to candidates during the hiring process.</p>\n<p>This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.</p>\n<p><strong><strong>About the Team</strong></strong></p>\n<p>The Strategic Finance team at OpenAI plays a critical role in shaping the company’s long-term trajectory. 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. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. 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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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