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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_f931591c-87a"},"title":"Research Scientist, Frontier Risk Evaluations","description":"<p>As a Research Scientist focused on Frontier Risk Evaluations, you will design and create evaluation measures, harnesses and datasets for measuring the risks posed by frontier AI systems.</p>\n<p>For example, you might do any or all of the following:</p>\n<ul>\n<li>Design and build harnesses to test AI models and systems (including agents) for dangerous capabilities such as security vulnerability exploitation, CBRN uplift, and other high-risk activities;</li>\n</ul>\n<ul>\n<li>Work with government agencies or other labs to collectively scope and design evaluations to measure and mitigate risks posed by advanced AI systems;</li>\n</ul>\n<ul>\n<li>Publish evaluation methodologies and write technical reports for policymakers.</li>\n</ul>\n<p>We are seeking talented researchers to join us in shaping this vision.</p>\n<p>Ideally you&#39;d have:</p>\n<ul>\n<li>Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance;</li>\n</ul>\n<ul>\n<li>Practical experience conducting technical research collaboratively. You should be comfortable building and instrumenting ML pipelines, writing evaluation harnesses, and quickly turning new ideas from the research literature into working prototypes;</li>\n</ul>\n<ul>\n<li>A track record of published research in machine learning, particularly in generative AI;</li>\n</ul>\n<ul>\n<li>At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development;</li>\n</ul>\n<ul>\n<li>Strong written and verbal communication skills to operate in a cross-functional team.</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Experience in crafting evaluations and benchmarks, or a background in data science roles related to LLM technologies;</li>\n</ul>\n<ul>\n<li>Experience with red-teaming or adversarial testing of AI systems;</li>\n</ul>\n<ul>\n<li>Familiarity with AI safety policy frameworks (e.g., NIST AI RMF, EU AI Act, Korea AI Basic Act).</li>\n</ul>\n<p>Our research interviews are crafted to assess candidates&#39; skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organisational culture. We will not ask any LeetCode-style questions. If you’re excited about advancing AI safety and contributing to our mission, we encourage you to apply, even if your experience doesn’t perfectly align with every requirement.</p>\n<p>Compensation packages at Scale for eligible roles 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, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.</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_f931591c-87a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4677657005","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$216,000-$270,000 USD","x-skills-required":["machine learning","generative AI","ML pipelines","evaluation harnesses","AI safety policy frameworks"],"x-skills-preferred":["crafting evaluations and benchmarks","data science roles related to LLM technologies","red-teaming or adversarial testing of AI systems"],"datePosted":"2026-04-18T15:58:57.212Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"machine learning, generative AI, ML pipelines, evaluation harnesses, AI safety policy frameworks, crafting evaluations and benchmarks, data science roles related to LLM technologies, red-teaming or adversarial testing of AI systems","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_47de4683-b45"},"title":"Staff+ Software Engineer, Platform","description":"<p>We are looking for experienced software engineers to join our Platform organisation. We build the foundational primitives that accelerate product development across Anthropic, and own infrastructure and systems that teams depend on to ship reliably and at scale.</p>\n<p>As a Staff+ Software Engineer, you will independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make architectural decisions that shape how Anthropic builds and scales its products. You will partner directly with research to productize cutting-edge capabilities, and will have lasting impact on the platform that hundreds of thousands of companies and internal/external engineers depend on every day.</p>\n<p>Our team is responsible for Platform Acceleration, Service Infra, Multicloud, Auth &amp; Identity, and Connectivity. We work on maximising developer productivity of product engineers at Anthropic, building and maintaining the core infrastructure that powers Anthropic&#39;s engineering organisation, operating across multiple cloud providers, and powering identity and authentication across Anthropic&#39;s product suite.</p>\n<p>You will work on problems where reliability and enterprise trust are the bar: token refresh at scale, admin controls that let IT govern what agents can do, proxy infrastructure that stays up when partner servers don&#39;t. We ship for claude.ai, Claude Code, Cowork, and the API.</p>\n<p>Relevant experience includes OAuth, API gateways, multi-tenant platforms, building for enterprise, and MCP.</p>\n<p>We are looking for someone with 8-10+ years of practical full-stack engineering experience, ideally with 2+ years operating at a Staff or equivalent technical leadership level. You should have led the design and delivery of complex, consumer or B2B user-facing products across the full stack, and take a product-focused approach to building solutions that are robust, scalable, and easy to use.</p>\n<p>Strong candidates may also have served as a technical lead or architect for a foundational platform system, owning both the technical vision and execution end-to-end, or experience designing or scaling billing, payments, or financial infrastructure at high transaction volumes.</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_47de4683-b45","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.co/","logo":"https://logos.yubhub.co/anthropic.co.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5157847008","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$405,000-$485,000 USD","x-skills-required":["OAuth","API gateways","multi-tenant platforms","building for enterprise","MCP"],"x-skills-preferred":["ML training infra","production ML pipelines","backend engineering","finetuning experience"],"datePosted":"2026-04-18T15:58:42.613Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"OAuth, API gateways, multi-tenant platforms, building for enterprise, MCP, ML training infra, production ML pipelines, backend engineering, finetuning experience","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":405000,"maxValue":485000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_62b851a9-660"},"title":"Data Scientist","description":"<p>Job Title: Data Scientist</p>\n<p><strong>About the Position</strong></p>\n<p>As a Data Scientist on the platform prediction team, you will translate our probability of success predictions into measurable portfolio-level outcomes. You will architect core systems that let us rigorously evaluate signals from our AI-driven predictions in public and private equities and our internal portfolio.</p>\n<p>This role sits at the intersection of quantitative finance, healthcare data, and AI-driven drug development. If you&#39;re excited about applying portfolio construction and risk management fundamentals to one of the most consequential prediction problems in healthcare, this is the role.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Work with the team to implement and maintain core portfolio engine: order management system, execution simulation layer, portfolio construction service, and performance tracking</li>\n<li>Design risk frameworks that quantify exposure across a portfolio of drug development bets with radically different risk profiles, timelines, and failure modes</li>\n<li>Run rigorous backtesting experiments with strict temporal constraints to evaluate Formation strategies against baseline approaches and measure marginal signal from new evidence sources</li>\n<li>Coordinate across the organization to integrate internal Formation data sources (clinical trial data, genomic evidence, real-world data) and proprietary tooling into portfolio analytics pipelines</li>\n<li>Work with product and engineering teams to build dashboards and reporting that communicate portfolio performance, risk metrics, and strategy comparisons to both technical and executive stakeholders</li>\n<li>Collaborate with the broader data science team to ensure portfolio-level evaluation feeds back into model improvement and evidence prioritization</li>\n</ul>\n<p><strong>About You</strong></p>\n<p>We are looking for a highly motivated and experienced Data Scientist to join our team. The ideal candidate will have a strong background in data science, machine learning, and software development, with a proven track record of delivering high-quality results in a fast-paced environment.</p>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>MS or PhD in a quantitative field (statistics, finance, physics, computational science, engineering, or related)</li>\n<li>1-3 years in a quantitative research, data science, or analytics role , finance, healthcare, academic research, or consulting all count; substantive internships qualify</li>\n<li>Strong Python programming skills with experience in data-intensive workflows (pandas, numpy, scipy)</li>\n<li>Solid grasp of core portfolio construction and risk concepts: position sizing, rebalancing, Sharpe ratio, drawdown, volatility, benchmark comparison</li>\n<li>Demonstrated ability to work with messy, real-world datasets , comfortable with data wrangling, deduplication, and quality assessment</li>\n<li>Clear communicator who can present quantitative results to both technical peers and business stakeholders</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Experience with backtesting frameworks or portfolio simulation (vectorbt, Backtrader, or custom implementations)</li>\n<li>Exposure to healthcare, pharma, or biotech data (clinical trials, claims data, -omics, real-world evidence)</li>\n<li>Familiarity with alternative data in a research or investment context</li>\n<li>Experience with probability-of-success modeling, drug development decision analysis, or health economics</li>\n<li>Comfort with LLMs or AI/ML pipelines in a production or research setting</li>\n<li>Familiarity with dashboard/visualization tools (Streamlit, Plotly, Dash) and pipeline orchestration (Dagster, Airflow)</li>\n</ul>\n<p><strong>Total Compensation Range:</strong> $154,500 - $202,000</p>\n<p>**Compensation Individual compensation is determined by several factors, including role scope, geographic location, and skills &amp; experience. Your offer will reflect where you fall within the range based on these considerations. In addition to base salary, we offer equity, comprehensive benefits, and generous perks. If the posted range doesn&#39;t match your expectations, we still encourage you to apply!</p>\n<p>**Where We Hire Formation Bio is prioritizing hiring in key hubs, primarily the New York City and Boston metro areas, with a hybrid model requiring 3 days per week in office. Applicants from the Research Triangle (NC) and San Francisco Bay Area may also be considered. Please apply only if you reside in these locations or are willing to relocate.</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_62b851a9-660","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Formation Bio","sameAs":"https://www.formation.bio/","logo":"https://logos.yubhub.co/formation.bio.png"},"x-apply-url":"https://job-boards.greenhouse.io/formationbio/jobs/7757667","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$154,500 - $202,000","x-skills-required":["Python","pandas","numpy","scipy","portfolio construction","risk management","backtesting","data wrangling","data visualization"],"x-skills-preferred":["backtesting frameworks","portfolio simulation","healthcare data","alternative data","probability-of-success modeling","drug development decision analysis","health economics","LLMs","AI/ML pipelines","dashboard/visualization tools","pipeline orchestration"],"datePosted":"2026-04-18T15:53:29.085Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY; Boston, MA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Healthcare","skills":"Python, pandas, numpy, scipy, portfolio construction, risk management, backtesting, data wrangling, data visualization, backtesting frameworks, portfolio simulation, healthcare data, alternative data, probability-of-success modeling, drug development decision analysis, health economics, LLMs, AI/ML pipelines, dashboard/visualization tools, pipeline orchestration","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":154500,"maxValue":202000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b2efa219-a4e"},"title":"Senior Software Engineer - Search","description":"<p>We are seeking a Senior Software Engineer to join our Applied AI team at the forefront of advancing AI/ML-powered products. The successful candidate will drive enhancements to our Search Quality, focusing on enhancing search ranking, improving query understanding, building robust evals, and growing the coverage of assets to enable seamless search at scale.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Developing and deploying ML-based search and discovery relevance models and systems integrated with Databricks&#39; products and services.</li>\n<li>Designing and implementing automated ML and NLP pipelines for data preprocessing, query understanding and rewrite, ranking and retrieval, and model evaluation, enabling rapid experimentation and iteration.</li>\n<li>Collaborating with product managers and cross-functional teams to drive technology-first initiatives that enable novel business strategies and product roadmaps for the search and discovery experience.</li>\n<li>Contributing to building a robust framework for evaluating search ranking improvements - both offline and online.</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>A Bachelor&#39;s degree in Computer Science or a related field, with a Master&#39;s or PhD preferred.</li>\n<li>5+ years of experience developing search relevance systems at scale in production or in high-impact research environments.</li>\n<li>Experience applying LLM to search relevance.</li>\n<li>Strong understanding of computer science fundamentals.</li>\n<li>Contributions to well-used open-source projects.</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_b2efa219-a4e","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/7841782002","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["ML","NLP","search relevance","data preprocessing","query understanding","ranking and retrieval","model evaluation","computer science fundamentals"],"x-skills-preferred":["LLM","automated ML pipelines","open-source projects"],"datePosted":"2026-04-18T15:50:57.913Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru, India"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"ML, NLP, search relevance, data preprocessing, query understanding, ranking and retrieval, model evaluation, computer science fundamentals, LLM, automated ML pipelines, open-source projects"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6f25b435-69f"},"title":"Technical Support Engineer – On-Premise","description":"<p>We are seeking a Technical Support Engineer - On-Premise Infrastructure to join our Support team in France. This role is ideal for someone who excels at technical troubleshooting, incident investigation, and customer communication in a B2B environment.</p>\n<p>As a key member of the support team, you will be responsible for handling escalated technical issues from on-premise enterprise clients, reproducing complex problems, and collaborating with engineering, data, and product teams to ensure swift resolution. You will report directly to the Head of Support, and play a critical role in maintaining customer satisfaction and improving our support operations.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Frontline Investigation: Handle escalated tickets from enterprise clients via Intercom, focusing on on-premise infrastructure and AI-related issues (e.g., deployment, performance, integration, security).</li>\n<li>Root Cause Analysis: Ask the right questions to gather context, reproduce issues in test environments, and diagnose technical problems (systems, networks, storage, GPU clusters, AI models).</li>\n<li>Cross-Team Collaboration: Work closely with engineering, and deployment teams to escalate, track, and resolve incidents efficiently.</li>\n<li>Proactive Communication: Provide clear, empathetic, and timely updates to clients and internal stakeholders, ensuring transparency throughout the resolution process.</li>\n</ul>\n<p>Knowledge Sharing &amp; Process Improvement:</p>\n<ul>\n<li>Documentation: Create and update technical FAQs, troubleshooting guides, and internal knowledge base articles to empower self-serve/L1 team and reduce recurrence of issues.</li>\n<li>Feedback Loop: Identify recurring pain points in on-premise deployments and suggest improvements to product, documentation, or support workflows.</li>\n</ul>\n<p>Customer-Centric Approach:</p>\n<ul>\n<li>Empathy &amp; Ownership: Maintain a customer-first mindset, ensuring clients feel heard and supported, even in high-pressure situations.</li>\n<li>Solution-Oriented: Proactively propose workarounds, fixes, or process optimizations to enhance the customer experience and reduce incident resolution time.</li>\n</ul>\n<p>Technical Expertise:</p>\n<ul>\n<li>On-Premise &amp; Cloud Environments: Deep understanding of Linux/Windows servers, networking, virtualization, storage, security (firewalls, RGPD compliance), and cloud providers (AWS, GCP, Azure).</li>\n<li>Kubernetes/Helm: Experience with deployment, scaling, and troubleshooting of applications in Kubernetes clusters using Helm charts.</li>\n<li>Terraform: Familiarity with Infrastructure as Code (IaC) for managing cloud resources is a strong plus.</li>\n<li>AI Infrastructure: Knowledge of AI/ML pipelines, LLM/RAG deployments, GPU acceleration, and data storage solutions for enterprise clients.</li>\n<li>Tooling: Proficiency in Intercom, monitoring tools, scripting (Bash/Python), and diagnostic utilities (logs, performance metrics).</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_6f25b435-69f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mistral AI","sameAs":"https://mistral.ai/careers","logo":"https://logos.yubhub.co/mistral.ai.png"},"x-apply-url":"https://jobs.lever.co/mistral/f00a13aa-61f1-4c56-993c-20846adc2b15","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Linux/Windows servers","Networking","Virtualization","Storage","Security","Kubernetes/Helm","Terraform","AI/ML pipelines","LLM/RAG deployments","GPU acceleration","Data storage solutions","Intercom","Monitoring tools","Scripting (Bash/Python)","Diagnostic utilities"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:47:50.345Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Paris"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Linux/Windows servers, Networking, Virtualization, Storage, Security, Kubernetes/Helm, Terraform, AI/ML pipelines, LLM/RAG deployments, GPU acceleration, Data storage solutions, Intercom, Monitoring tools, Scripting (Bash/Python), Diagnostic utilities"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3e77a678-cf0"},"title":"Technical Support Engineer – On-Premise","description":"<p>We are seeking a Technical Support Engineer - On-Premise Infrastructure to join our Support team in France. This role is ideal for someone who excels at technical troubleshooting, incident investigation, and customer communication in a B2B environment.</p>\n<p>As a key member of the support team, you will be responsible for handling escalated technical issues from on-premise enterprise clients, reproducing complex problems, and collaborating with engineering, data, and product teams to ensure swift resolution. You will report directly to the Head of Support, and play a critical role in maintaining customer satisfaction and improving our support operations.</p>\n<p>This is a unique opportunity to work at the intersection of AI infrastructure, customer success, and technical problem-solving.</p>\n<p>Key Responsibilities:</p>\n<p>Technical Support &amp; Incident Management</p>\n<p>• Frontline Investigation: Handle escalated tickets from enterprise clients via Intercom, focusing on on-premise infrastructure and AI-related issues (e.g., deployment, performance, integration, security).</p>\n<p>• Root Cause Analysis: Ask the right questions to gather context, reproduce issues in test environments, and diagnose technical problems (systems, networks, storage, GPU clusters, AI models).</p>\n<p>• Cross-Team Collaboration: Work closely with engineering, and deployment teams to escalate, track, and resolve incidents efficiently.</p>\n<p>• Proactive Communication: Provide clear, empathetic, and timely updates to clients and internal stakeholders, ensuring transparency throughout the resolution process.</p>\n<p>Knowledge Sharing &amp; 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Your work will help shape innovative user experiences that drive business KPIs, interpret user behavior, and drive product and algorithm improvements.</p>\n<p><strong>Challenges you will tackle</strong></p>\n<ul>\n<li>Understand Shopper Behavior: Investigate how product changes affect user behavior and conversion metrics. Use SQL, Python, and Spark to uncover usage patterns, anomalies, and opportunities for optimization.</li>\n<li>Design &amp; Validate Metrics: Define new metrics to measure personalization, and model performance. Ensure metrics align with user experience and business goals through rigorous validation.</li>\n<li>Build Analytics Infrastructure: Create scalable dashboards and reporting tools for product, engineering, and leadership teams. 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Our recent achievements have driven significant revenue growth, and we’re seeking driven individuals to help us sustain this momentum. In our team, you’ll work on cutting-edge products for Ad Quality and Publishers monetization, focusing on enhancing user experience, building scalable reporting solutions for publishers, working with distributed systems, and delivering top-quality ads. As a Senior Software Engineer on our team, you will play a crucial role in building solutions for publisher onboarding, ensure publisher quality verification, and provide comprehensive revenue and quality reports. Additionally, you’ll work to deliver top-quality ads to our publishers. This role offers a unique opportunity to accelerate your career growth, deepen your business acumen, and sharpen your technical skills. You’ll be part of a remote team, giving you the flexibility to work from home and manage your schedule efficiently.</p>\n<p>Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p>\n<p>Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.</p>\n<p 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_370904e5-a61","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/senior-software-engineer-90/","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$119,800 – $234,700 per year","x-skills-required":["C#","Java","JavaScript","Python","Advanced React","Redux Toolkit","modular frontend architecture","Webpack","Babel","Jest","React Testing Library","ESLint","Prettier","Docker","Kubernetes","Azure DevOps","YAML pipelines","CI/CD automation","Bash","YAML"],"x-skills-preferred":["monorepo tools","API integration","performance/accessibility best practices"],"datePosted":"2026-03-08T22:19:49.276Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C#, Java, JavaScript, Python, Advanced React, Redux Toolkit, modular frontend architecture, Webpack, Babel, Jest, React Testing Library, ESLint, Prettier, Docker, Kubernetes, Azure DevOps, YAML pipelines, CI/CD automation, Bash, YAML, monorepo tools, API integration, performance/accessibility best practices","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":119800,"maxValue":234700,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_70ec5312-0a5"},"title":"Cloud Security Lead","description":"<p>Join us at the forefront of AI and cloud-native security as we work to secure one of the most innovative developer platforms in the world. 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You’ll improve our security posture through strong architecture, posture management, secure-by-default development practices, and close partnership with Engineering, Compliance, Security Architecture, and Platform teams.</p>\n<p>This is a highly impactful, hands-on leadership role—perfect for someone who wants to solve complex security challenges at scale while influencing product, engineering, and go-to-market teams.</p>\n<p><strong>Cloud Security Engineering</strong></p>\n<ul>\n<li>Lead configuration hardening across GCP, with additional oversight of workloads and integrations running in AWS and Azure.</li>\n<li>Own and optimise CSPM platforms across multi-cloud environments—establishing configuration baselines, guardrails, and remediation workflows.</li>\n<li>Secure critical SaaS platforms, ensuring proper configurations, access controls, and engineering integrations.</li>\n<li>Lead infrastructure vulnerability management across multi-cloud systems, containers, registries, and platform services.</li>\n<li>Enhance security across containerised and Kubernetes (GKE/EKS/AKS) workloads, including runtime protections, network policies, and workload identity.</li>\n<li>Assess secure logging configurations across cloud/SaaS providers, ensuring audit logs, retention, and routing meet monitoring and architecture needs.</li>\n</ul>\n<p><strong>Secure Development &amp; 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Equity</li>\n<li>401(k) Program with a 4% match</li>\n<li>Health, Dental, Vision and Life Insurance</li>\n<li>Short Term and Long Term Disability</li>\n<li>Paid Parental, Medical, Caregiver Leave</li>\n<li>Commuter Benefits</li>\n<li>Monthly Wellness Stipend</li>\n<li>Autonomous Work Environment</li>\n<li>In Office Set-Up Reimbursement</li>\n<li>Flexible Time Off (FTO) + Holidays</li>\n<li>Quarterly Team Gatherings</li>\n<li>In Office Amenities</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_70ec5312-0a5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Replit","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/replit.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/replit/8027a0f4-4837-4e49-a4dd-8ad1bde23277","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$220K – $325K","x-skills-required":["CSPM tools","GCP security","SaaS platforms","infrastructure vulnerability management","container and Kubernetes security","IaC security","compliance standards"],"x-skills-preferred":["secure-first, cloud-native or PaaS environments","AI/ML pipelines","model-serving infrastructure","developer platform services","Python","relevant certifications"],"datePosted":"2026-03-07T15:20:14.907Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Foster City, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"CSPM tools, GCP security, SaaS platforms, infrastructure vulnerability management, container and Kubernetes security, IaC security, compliance standards, secure-first, cloud-native or PaaS environments, AI/ML pipelines, model-serving infrastructure, developer platform services, Python, relevant certifications","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":220000,"maxValue":325000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_17d653d0-9ba"},"title":"Distributed Training Engineer, Sora","description":"<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>Department</strong></p>\n<p>Research</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$293K – $490K • 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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We are a hybrid research and product team that seeks to understand and expand the capabilities of our video models, while ensuring their reliability and safety. We accomplish this both through directly studying and experimenting with the models, as well as deploying them into the real-world to distribute their benefits widely.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Distributed Systems/ML engineer, you will work on improving the training throughput for our internal training framework and enable researchers to experiment with new ideas. This requires good engineering (for example designing, implementing, and optimizing state-of-the-art AI models), writing bug-free machine learning code (surprisingly difficult!), and acquiring deep knowledge of the performance of supercomputers. We’re looking for people who love optimizing performance, understanding distributed systems, and who cannot stand having bugs in their code.</p>\n<p>This role is based in San Francisco, CA. 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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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