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Observability isn&#39;t just about monitoring; it&#39;s about empowering developers, SREs, and platform engineers to understand, debug, and optimize their AI workloads with confidence and speed.</p>\n<p>As a Product Designer on our Observability team, you will design end-to-end experiences for Observability within AI Studio, from onboarding to advanced features. You&#39;ll prototype, iterate, and ship,fast. You&#39;ll collaborate deeply with research, engineering, and product teams. Clear communication and a low ego are key. You&#39;ll contribute to our design system, ensuring consistency and craft (including motion design) across Mistral&#39;s products.</p>\n<p>Required Qualifications:</p>\n<ul>\n<li>7+ years of product design experience, with a focus on documentation, developer tools, or technical communication.</li>\n<li>Deeply curious about how people learn and use complex products. You ask “why?” until you understand the root problem.</li>\n<li>Systems thinker: You can design for scalability, consistency, and maintainability across a growing suite of products.</li>\n<li>UI/UX savvy: You understand how to design intuitive, user-friendly documentation interfaces, from layout to interaction.</li>\n<li>Visual communicator: You&#39;re comfortable creating or art-directing graphics, diagrams, and other visual aids to simplify complex ideas (using tools like Figma, Illustrator, or AI-assisted design).</li>\n<li>Collaborative and proactive: You thrive in cross-functional teams and can drive projects forward with minimal oversight.</li>\n</ul>\n<p>Experience with:</p>\n<ul>\n<li>Designing developer-facing documentation (APIs, SDKs, tutorials, or technical guides).</li>\n<li>Technical writing or content design (a plus if you’ve worked with Markdown, Docusaurus, or similar tools).</li>\n<li>AI/ML concepts (familiarity with model deployment, inference, or cloud services is a bonus).</li>\n<li>Clear, concise, and empathetic communicator,you can explain technical topics to both experts and newcomers.</li>\n</ul>\n<p>Joining our design team:</p>\n<ul>\n<li>Founding team: Help build the culture, processes, and design language that will define Mistral’s infrastructure and Studio products for years.</li>\n<li>Designing for good: Shape how the world interacts with AI and cloud computing,focusing on sovereignty, transparency, and user empowerment.</li>\n<li>Zero-to-one impact: Design products from scratch, not incremental tweaks.</li>\n<li>Builder energy: We’re all makers at heart, focused on shipping great experiences, not politics.</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_c1841071-554","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mistral AI","sameAs":"https://mistral.ai","logo":"https://logos.yubhub.co/mistral.ai.png"},"x-apply-url":"https://jobs.lever.co/mistral/b161e4b7-001c-4b91-8396-b3f38aff919b","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["product design","documentation","developer tools","technical communication","UI/UX","visual design","collaboration","cross-functional teams","project management"],"x-skills-preferred":["AI/ML","cloud services","model deployment","inference","technical writing","content design","Markdown","Docusaurus"],"datePosted":"2026-04-24T16:11:52.478Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Paris"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"product design, documentation, developer tools, technical communication, UI/UX, visual design, collaboration, cross-functional teams, project management, AI/ML, cloud services, model deployment, inference, technical writing, content design, Markdown, Docusaurus"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_46bab059-220"},"title":"Product Designer - Documentation","description":"<p>We&#39;re looking for a lead designer to elevate documentation as a first-class product at Mistral. Documentation isn&#39;t just an afterthought,it&#39;s the backbone of how our teams, customers, and builder partners understand, adopt, and innovate with Mistral&#39;s products.</p>\n<p>This role is critical: You&#39;ll work across all areas of the product, collaborating with designers, PMs, engineers, and customer support to ensure our documentation is intuitive, visually compelling, and deeply user-centric. You&#39;ll think holistically about the UI/UX of docs, from information architecture to interactive examples, and be savvy at communicating complex concepts,whether through your own graphic design skills, collaboration with graphic designers, or AI tools.</p>\n<p><strong>About Mistral Documentation</strong></p>\n<p>Our documentation is the bridge between our cutting-edge AI products and the people who use them. It’s not just text on a page,it’s a dynamic, interactive experience that empowers developers, enterprises, and partners to build, deploy, and scale AI solutions with confidence.</p>\n<p>You’ll treat docs as a product: user-tested, data-informed, and designed for maximum impact.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Lead the design of Mistral’s documentation, treating it as a first-class product that solves real user problems.</li>\n</ul>\n<ul>\n<li>Collaborate cross-functionally with designers, product managers, engineers, and customer support to identify gaps, improve clarity, and enhance usability in our docs.</li>\n</ul>\n<ul>\n<li>Think holistically about the UI/UX of documentation: information architecture, navigation, search, interactive demos, and visual storytelling.</li>\n</ul>\n<ul>\n<li>Design for all users: from internal teams to external developers, enterprises, and builder partners.</li>\n</ul>\n<ul>\n<li>Communicate complex concepts visually: Create diagrams, flowcharts, animations, or other assets (either yourself or in collaboration with graphic designers or AI tools) to make technical ideas accessible and engaging.</li>\n</ul>\n<ul>\n<li>Advocate for the user: Use data, feedback, and your own curiosity to continuously improve how people learn and use Mistral’s products.</li>\n</ul>\n<ul>\n<li>Innovate with AI: Explore how AI can enhance documentation,from dynamic content generation to personalized learning paths.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>5+ years of product design experience, with a focus on documentation, developer tools, or technical communication.</li>\n</ul>\n<ul>\n<li>Deeply curious about how people learn and use complex products. 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We’re looking for collaborators who think holistically.</li>\n</ul>\n<ul>\n<li>Culture fit: We want people who are passionate about teaching and learning.</li>\n</ul>\n<p>Next steps? 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You sweat the details, from empty states to error handling.</li>\n<li>User-centered design. You care more about solving real problems than pixels.</li>\n<li>Independent, resourceful, and biased toward action. You thrive in ambiguous, fast-moving environments. You make things happen.</li>\n<li>Experience with:</li>\n<li>Designing for developers, DevOps, or infrastructure teams (Kubernetes, Docker, CI/CD, or similar).</li>\n<li>Data-heavy interfaces (dashboards, logs, metrics, or observability tools).</li>\n<li>AI/ML workflows (model deployment, inference, or cloud services).</li>\n<li>Clear communicator with a low ego. You can explain technical trade-offs to non-technical stakeholders and advocate for users.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary and equity</li>\n<li>Health insurance</li>\n<li>Transportation allowance</li>\n<li>Sport allowance</li>\n<li>Meal vouchers</li>\n<li>Private pension plan</li>\n<li>Generous parental leave policy</li>\n<li>Visa sponsorship</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_84b0834b-870","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/7ed4baa4-9323-4c5e-96eb-732a92257474","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["product design","cloud platforms","infrastructure","AI workflows","design systems","motion design","data visualization","Kubernetes","Docker","CI/CD","AI/ML workflows","model deployment","inference","cloud services"],"x-skills-preferred":[],"datePosted":"2026-04-24T16:07:22.921Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Paris"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"product design, cloud platforms, infrastructure, AI workflows, design systems, motion design, data visualization, Kubernetes, Docker, CI/CD, AI/ML workflows, model deployment, inference, cloud services"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ed2e356a-c0f"},"title":"Private Asset Market Risk Modeler, Vice President","description":"<p>Join a diverse and collaborative team of over 400 modelers and technologists in Aladdin Financial Engineering (AFE) within BlackRock Solutions, the business responsible for the research and development of Aladdin&#39;s financial models.</p>\n<p>This group is also accountable for analytics production, enhancing the infrastructure platform, and delivering analytics content to portfolio and risk management professionals (both within BlackRock and across the Aladdin client community).</p>\n<p>The models developed and supported by AFE span a wide array of financial products covering equities, fixed income, commodities, derivatives, and private markets. AFE provides investment insights that range from an analysis of cash flows on a single bond, to the overall financial risk associated with an entire portfolio, balance sheet, or enterprise.</p>\n<p>We are looking to hire a senior quant modeler (VP) to join our Private Asset Market Risk Modeling team to drive the development of risk factor models for private market investments.</p>\n<p>The Private Asset Market Risk team builds a range of models, including private equity, real estate, credit, infrastructure, and hedge funds, with sophisticated econometric/statistical methods and tools.</p>\n<p>These models have real practical value and have a very large footprint of usage across the entire Aladdin client base including portfolio managers, risk managers, and allocators and influence investment activity.</p>\n<p>As a result, we place special emphasis on developing models that scale with our growing Analytics&#39; business and ensuring adherence to BlackRock&#39;s rigorous standards of model governance.</p>\n<p>This individual would have a strong background in quantitative research, have demonstrable project management skills as well as proven experience to work in a team environment as well as collaborating with senior modelers from other groups/regions.</p>\n<p>This person is expected to join as an individual contributing to the design and development of our private market risk models, particularly in the private credit (i.e., real estate debt, infrastructure debt) space.</p>\n<p>Develop private credit risk factor models and back test, document, and guide new models and methodologies through validation.</p>\n<p>Collaborate with partner teams on model productionization</p>\n<p>Build and maintain model governance controls, including (but not limited to) model performance monitoring, model documentation, model remediations and supporting internal &amp; external client model validations</p>\n<p>Communicate (verbally and in writing) with internal stakeholders and external clients on the design, backtesting, and usage of the models. Discuss model performance regularly, investigate exceptional model performance, diagnose issues and conduct corrective remediations</p>\n<p>Extensive experience in quantitative field / statistical modeling. Experience with one or more of the following is preferred: risk factor models and analytics, domain knowledge of fixed income securities, applications of ML/AI techniques.</p>\n<p>Master&#39;s or PhD degree in a quantitative discipline or one that relates to application of quantitative techniques in finance (financial engineering, math finance, etc.). Master&#39;s degree with 5+ years or PhD degree with 3+ years of experience.</p>\n<p>A strong background in data-driven quantitative research, econometrics, and empirical asset pricing</p>\n<p>Hands-on experience with statistical modeling through software (e.g., Python, R) and strong background in programming. Proficiency with Python is required</p>\n<p>Experience with data handling (ETL, data joining with SQL, cleaning, processing, summarizing, descriptive analysis), and building and back-testing statistical and econometric models</p>\n<p>Knowledge of investments, portfolio management is preferred</p>\n<p>Experience with any version control system (e.g., git) is strongly preferred</p>\n<p>Prior work experience in financial modeling (e.g., risk models, analytics, pricing/valuation models) or data science and model deployment to production environment is a plus</p>\n<p>Resourcefulness and strong problem-solving skills even in the face of constraints, limited options, or uncertainties</p>\n<p>Ability to work effectively with a team of highly motivated individuals</p>\n<p>Time and project management skills</p>\n<p>Proven track record of guiding junior talent</p>\n<p>Positive attitude and ability to work both independently and as a part of a global team in a fast-paced environment</p>\n<p>Excellent communication and presentation skills</p>\n<p>To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.</p>\n<p>Our hybrid work model</p>\n<p>BlackRock&#39;s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.</p>\n<p>About BlackRock</p>\n<p>At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children&#39;s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.</p>\n<p>This mission would not be possible without our smartest investment – the one we make in our employees. It&#39;s why we&#39;re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.</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_ed2e356a-c0f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"BlackRock","sameAs":"https://www.blackrock.com/","logo":"https://logos.yubhub.co/blackrock.com.png"},"x-apply-url":"https://jobs.workable.com/view/gcVc29WcwKSxmzvLyQ8eCK/private-asset-market-risk-modeler%2C-vice-president-in-london-at-blackrock","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Quantitative research","Project management","Statistical modeling","Python","R","Data handling","Version control system","Financial modeling","Data science","Model deployment"],"x-skills-preferred":["Risk factor models and analytics","Domain knowledge of fixed income securities","Applications of ML/AI techniques","Econometrics","Empirical asset pricing"],"datePosted":"2026-04-24T14:17:34.113Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Finance","skills":"Quantitative research, Project management, Statistical modeling, Python, R, Data handling, Version control system, Financial modeling, Data science, Model deployment, Risk factor models and analytics, Domain knowledge of fixed income securities, Applications of ML/AI techniques, Econometrics, Empirical asset pricing"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_347a59ff-5d1"},"title":"Product Designer - Mistral Cloud","description":"<p>About Mistral</p>\n<p>At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source, and cutting-edge models, products, and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.</p>\n<p>Role Summary</p>\n<p>We&#39;re assembling our founding design team to shape how developers and enterprises interact with Koyeb and Mistral Cloud,the next generation of AI and infrastructure platforms,for the next decade. At Mistral, we&#39;re not just designing tools,we&#39;re redefining how the world builds, deploys, and scales AI and cloud-native applications. Your work will not only power our infrastructure products but also be woven into Mistral Studio, our flagship AI production platform, ensuring a seamless experience from model deployment to end-user applications.</p>\n<p><strong>About Koyeb &amp; Mistral Cloud</strong></p>\n<p>Koyeb and Mistral Cloud are high-performance, serverless platforms for deploying AI inference, APIs, databases, and resource-intensive applications across global infrastructure. We abstract away the complexity of Kubernetes, instance management, and multi-region deployments, so developers can focus on what matters: building and shipping fast.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Design end-to-end experiences for cloud and infrastructure products, from onboarding to advanced workflows (e.g., Kubernetes cluster management, instance provisioning, autoscaling, and monitoring).</li>\n<li>Prototype, iterate, and ship,fast. Turn complex technical concepts into intuitive, elegant interfaces that feel inevitable.</li>\n<li>Collaborate deeply with engineering, product, and research teams to balance user needs with technical constraints.</li>\n<li>Contribute to our design system, ensuring consistency, accessibility, and craft (including motion and data visualization) across all Mistral products.</li>\n<li>Solve for scale: Design for both power users (DevOps, ML engineers) and newcomers, making infrastructure management approachable without sacrificing depth.</li>\n<li>Integrate your work into Mistral Studio, aligning infrastructure tools with our AI production platform to create a unified, powerful user journey.</li>\n</ul>\n<p>Required Qualifications</p>\n<ul>\n<li>7+ years of product design experience, with a portfolio showcasing complex, technical products (e.g., developer tools, cloud platforms, infrastructure, or AI workflows).</li>\n<li>AI-first designer: Comfortable vibe coding, building interactive prototypes, and even submitting PRs to ensure design quality and polish.</li>\n<li>Obsessed with craft,visual, interaction, and motion design. You sweat the details, from empty states to error handling.</li>\n<li>User-centered design. You care more about solving real problems than pixels.</li>\n<li>Independent, resourceful, and biased toward action. You thrive in ambiguous, fast-moving environments. You make things happen.</li>\n<li>Experience with:</li>\n<li>Designing for developers, DevOps, or infrastructure teams (Kubernetes, Docker, CI/CD, or similar).</li>\n<li>Data-heavy interfaces (dashboards, logs, metrics, or observability tools).</li>\n<li>AI/ML workflows (model deployment, inference, or cloud services).</li>\n<li>Clear communicator with a low ego. You can explain technical trade-offs to non-technical stakeholders and advocate for users.</li>\n</ul>\n<p>Joining our design team</p>\n<ul>\n<li>Founding team: Help build the culture, processes, and design language that will define Mistral’s infrastructure and Studio products for years.</li>\n<li>Designing for good: Shape how the world interacts with AI and cloud computing,focusing on sovereignty, transparency, and user empowerment.</li>\n<li>Zero-to-one impact: Design products from scratch, not incremental tweaks.</li>\n<li>Builder energy: We’re all makers at heart, focused on shipping great experiences, not politics.</li>\n</ul>\n<p><strong>Our hiring process</strong></p>\n<ul>\n<li>Portfolio review: Show us explorations and delivered work,we care about how you think.</li>\n<li>Take-home challenge: Tackle a real problem in our space.</li>\n<li>Team interviews: Chat with design, engineering, and leadership. We’re looking for collaborators, not egos.</li>\n<li>Culture fit: We want people who want to be here,who see Mistral as more than a job.</li>\n</ul>\n<p>Next steps? Let’s build the future of cloud, AI infrastructure, and Mistral Studio together!</p>\n<p>Additional Information</p>\n<p>Location &amp; Remote</p>\n<p>This role is primarily based at one of our European offices (Paris, France and London, UK). We will prioritize candidates who either reside there or are open to relocating. We strongly believe in the value of in-person collaboration to foster strong relationships and seamless communication within our team. In certain specific situations, we will also consider remote candidates based in one of the countries listed in this job posting , currently France &amp; UK. In that case, we ask all new hires to visit our local office:</p>\n<ul>\n<li>for the first week of their onboarding (accommodation and travelling covered)</li>\n<li>then at least 3 days per month</li>\n</ul>\n<p>What we offer</p>\n<p>Competitive salary and equity</p>\n<p>Health insurance</p>\n<p>Transportation allowance</p>\n<p>Sport allowance</p>\n<p>Meal vouchers</p>\n<p>Private pension plan</p>\n<p>Generous parental leave policy</p>\n<p>Visa sponsorship</p>\n<p>By applying, you agree to our Applicant Privacy Policy.</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_347a59ff-5d1","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mistral AI","sameAs":"https://mistral.ai","logo":"https://logos.yubhub.co/mistral.ai.png"},"x-apply-url":"https://jobs.lever.co/mistral/7ed4baa4-9323-4c5e-96eb-732a92257474","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["product design","cloud platforms","infrastructure","AI workflows","design systems","motion design","data visualization","Kubernetes","Docker","CI/CD","AI/ML workflows","model deployment","inference","cloud services"],"x-skills-preferred":[],"datePosted":"2026-04-24T13:11:25.380Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Paris"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"product design, cloud platforms, infrastructure, AI workflows, design systems, motion design, data visualization, Kubernetes, Docker, CI/CD, AI/ML workflows, model deployment, inference, cloud services"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f489bba1-a19"},"title":"Product Designer - Documentation","description":"<p>We&#39;re looking for a lead designer to elevate documentation as a first-class product at Mistral. Documentation isn&#39;t just an afterthought,it&#39;s the backbone of how our teams, customers, and builder partners understand, adopt, and innovate with Mistral&#39;s products.</p>\n<p>This role is critical: You&#39;ll work across all areas of the product, collaborating with designers, PMs, engineers, and customer support to ensure our documentation is intuitive, visually compelling, and deeply user-centric. You&#39;ll think holistically about the UI/UX of docs, from information architecture to interactive examples, and be savvy at communicating complex concepts,whether through your own graphic design skills, collaboration with graphic designers, or AI tools.</p>\n<p>Our documentation is the bridge between our cutting-edge AI products and the people who use them. It&#39;s not just text on a page,it&#39;s a dynamic, interactive experience that empowers developers, enterprises, and partners to build, deploy, and scale AI solutions with confidence.</p>\n<p>You&#39;ll treat docs as a product: user-tested, data-informed, and designed for maximum impact.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Lead the design of Mistral’s documentation, treating it as a first-class product that solves real user problems.</li>\n<li>Collaborate cross-functionally with designers, product managers, engineers, and customer support to identify gaps, improve clarity, and enhance usability in our docs.</li>\n<li>Think holistically about the UI/UX of documentation: information architecture, navigation, search, interactive demos, and visual storytelling.</li>\n<li>Design for all users: from internal teams to external developers, enterprises, and builder partners.</li>\n<li>Communicate complex concepts visually: Create diagrams, flowcharts, animations, or other assets (either yourself or in collaboration with graphic designers or AI tools) to make technical ideas accessible and engaging.</li>\n<li>Advocate for the user: Use data, feedback, and your own curiosity to continuously improve how people learn and use Mistral’s products.</li>\n<li>Innovate with AI: Explore how AI can enhance documentation,from dynamic content generation to personalized learning paths.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>5+ years of product design experience, with a focus on documentation, developer tools, or technical communication.</li>\n<li>Deeply curious about how people learn and use complex products. You ask “why?” until you understand the root problem.</li>\n<li>Systems thinker: You can design for scalability, consistency, and maintainability across a growing suite of products.</li>\n<li>UI/UX savvy: You understand how to design intuitive, user-friendly documentation interfaces, from layout to interaction.</li>\n<li>Visual communicator: You’re comfortable creating or art-directing graphics, diagrams, and other visual aids to simplify complex ideas (using tools like Figma, Illustrator, or AI-assisted design).</li>\n<li>Collaborative and proactive: You thrive in cross-functional teams and can drive projects forward with minimal oversight.</li>\n<li>Experience with:</li>\n</ul>\n<p>Technical writing or content design (a plus if you’ve worked with Markdown, Docusaurus, or similar tools).   AI/ML concepts (familiarity with model deployment, inference, or cloud services is a bonus).   Clear, concise, and empathetic communicator,you can explain technical topics to both experts and newcomers.</p>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary and equity</li>\n<li>Health insurance</li>\n<li>Transportation allowance</li>\n<li>Sport allowance</li>\n<li>Meal vouchers</li>\n<li>Private pension plan</li>\n<li>Generous parental leave policy</li>\n<li>Visa sponsorship</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_f489bba1-a19","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mistral AI","sameAs":"https://mistral.ai","logo":"https://logos.yubhub.co/mistral.ai.png"},"x-apply-url":"https://jobs.lever.co/mistral/d67de1b6-2cb3-4afb-b2a6-5e4901dce408","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["product design","documentation","developer tools","technical communication","UI/UX","information architecture","navigation","search","interactive demos","visual storytelling","diagrams","flowcharts","animations","AI tools","data analysis","feedback","curiosity","systems thinking","scalability","consistency","maintainability","Markdown","Docusaurus","model deployment","inference","cloud services"],"x-skills-preferred":[],"datePosted":"2026-04-24T13:11:11.402Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Paris"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"product design, documentation, developer tools, technical communication, UI/UX, information architecture, navigation, search, interactive demos, visual storytelling, diagrams, flowcharts, animations, AI tools, data analysis, feedback, curiosity, systems thinking, scalability, consistency, maintainability, Markdown, Docusaurus, model deployment, inference, cloud services"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_882eb269-37e"},"title":"Product Manager, Forge","description":"<p>We are seeking a talented and experienced product manager to define and execute the strategy for Forge, our product that enables customers to build, fine-tune, and deploy custom AI models at scale.</p>\n<p>Forge turns cutting-edge research into enterprise-ready capabilities by powering model fine-tuning, reinforcement learning, and post-training workflows. By working at the intersection of research and product, it provides customers with the tools to train specialized models that deliver real-world business value.</p>\n<p>As the PM leading Forge, you will shape a 0-1 product with significant business impact and the potential to grow, offering while defining how organizations train and deploy the next generation of AI models.</p>\n<p><strong>Define the Future</strong></p>\n<ul>\n<li>Set the vision: Shape and evangelize a compelling product strategy for Forge, ensuring alignment with company goals and market opportunities.</li>\n<li>Spot the gaps: Lead market and UX research to uncover unmet needs, competitive whitespaces, and emerging trends in SOTA AI post-training capabilities.</li>\n</ul>\n<p><strong>Build &amp; Ship</strong></p>\n<ul>\n<li>Own the lifecycle: Drive end-to-end product development, from ideation to launch and iteration,balancing speed, quality, and user delight.</li>\n<li>Champion the user: Partner with design and research to craft intuitive, high-impact experiences, using data and feedback to refine continuously.</li>\n</ul>\n<p><strong>Scale, Execute, &amp; Enable</strong></p>\n<ul>\n<li>Go-to-market: Collaborate with marketing and sales to launch products successfully, including pricing, positioning, and adoption strategies.</li>\n<li>Align stakeholders: Rally engineering, design, and business teams around priorities, trade-offs, and timelines.</li>\n<li>Prioritize ruthlessly: Maintain a dynamic roadmap that delivers quick wins while advancing long-term bets.</li>\n</ul>\n<p><strong>Required Qualifications</strong></p>\n<ul>\n<li>Product Management Experience: 5+ years of relevant experience in new, competitive, fast-paced, and ambiguous environments with a track record of building and scaling complex AI/ML or infrastructure solutions.</li>\n<li>Technical skills: Very good understanding of training pipelines, RL loops, and model deployment architectures,</li>\n<li>Expertise in AI model lifecycle management, including fine-tuning, evaluation, and serving.</li>\n<li>Experience with Infrastructure as Code (IaC), containerization, and scalable deployment modes (e.g., on-prem, VPC, cloud).</li>\n<li>Familiarity with Kubernetes/Slurm is a strong plus.</li>\n</ul>\n<p><strong>User obsession</strong>: Relentless focus on solving real user problems, backed by data and qualitative insights. <strong>Cross-functional influence</strong>: Proven ability to align and inspire engineering, design, and go-to-market teams without direct authority. <strong>Problem-solving</strong>: Balance big-picture thinking with hands-on problem-solving, you’re equally comfortable crafting a roadmap, diving into metrics, and running technical tests. <strong>Communication</strong>: Crisp, persuasive storytelling for executives, teams, and users,ability to distill complex technical concepts (e.g., RL, LoRA, SFT) into clear narratives for docs, decks, and workshops. <strong>Adaptability</strong>: Thrive in high-velocity, dynamic settings where priorities shift quickly. <strong>Collaboration</strong>: Low ego + high EQ,you build trust and drive decisions through clarity, not hierarchy. <strong>Autonomy</strong>: Self-directed with a bias for action, you own outcomes end-to-end.</p>\n<p><strong>Now, it would be ideal if you have:</strong></p>\n<ul>\n<li>Infrastructure knowledge: Strong knowledge of model training, model architectures, etc.</li>\n<li>Strong understanding how complex architectures are designed and impact of deployment modes</li>\n<li>Proficient coding skills are strongly recommended</li>\n<li>Kubernetes know-how strongly recommended</li>\n<li>Growth mindset: Deep familiarity with product-led growth strategies (e.g., viral loops, onboarding optimization, monetization, etc.)</li>\n<li>Builder’s mindset: Founder or early-stage PM experience,you’ve turned 0 → 1 ideas into products users love.</li>\n<li>Technical depth: Ability to prototype, hack, or dive into code when needed.</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_882eb269-37e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mistral AI","sameAs":"https://mistral.ai","logo":"https://logos.yubhub.co/mistral.ai.png"},"x-apply-url":"https://jobs.lever.co/mistral/11087966-f183-44b1-adc9-3a400c1f52ad","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["training pipelines","RL loops","model deployment architectures","AI model lifecycle management","fine-tuning","evaluation","serving","Infrastructure as Code (IaC)","containerization","scalable deployment modes","Kubernetes/Slurm"],"x-skills-preferred":[],"datePosted":"2026-04-24T13:10:14.095Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Paris"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"training pipelines, RL loops, model deployment architectures, AI model lifecycle management, fine-tuning, evaluation, serving, Infrastructure as Code (IaC), containerization, scalable deployment modes, Kubernetes/Slurm"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d8428649-c5d"},"title":"Principal Software Engineer - Copilot Security","description":"<p>Copilot Security is at the core of Microsoft&#39;s mission to deliver trusted, human-centered AI experiences. We make security and resilience intrinsic to every Copilot interaction,across devices, platforms, and ecosystems. Our work spans secure identity flows, defenses against emerging threats like prompt injection, and privacy-first systems that scale globally.</p>\n<p>We&#39;re seeking a hands-on Principal Software Engineer to lead the development of security features and innovative solutions that harness agentic AI to both protect our customers and enable new agentic capabilities in Copilot. You&#39;ll design, build, and ship AI-powered defenses, secure orchestration frameworks, and enabling technologies that empower Copilot to act safely and responsibly at scale.</p>\n<p>This role demands deep engineering expertise, creativity in applying agentic AI to security challenges, and a passion for building systems that balance innovation with trust. Your work will directly shape how hundreds of millions of users experience safe, trustworthy, and innovative AI. You&#39;ll be at the forefront of defining how agentic AI can proactively defend users, mitigate emerging threats, and unlock new secure scenarios,making a global impact on Microsoft&#39;s most transformative products.</p>\n<p>As a Principal Software Engineer, you will:</p>\n<ul>\n<li>Develop and ship agentic AI-powered security features that proactively protect users from threats such as prompt injection, adversarial manipulation, and abuse of agentic workflows.</li>\n<li>Design and implement secure orchestration frameworks that enable Copilot to safely delegate, coordinate, and execute actions across devices, services, and platforms.</li>\n<li>Invent and apply new intelligent agents that leverage information flow analysis and apply common sense and judgement guardrails for security and privacy.</li>\n<li>Collaborate with product, engineering, security, privacy, and AI teams to drive adoption of agentic security patterns and best practices across Copilot and MAI.</li>\n<li>Establish and monitor key metrics for agentic AI security and innovation, using data-driven insights to continuously improve defenses and enablement.</li>\n<li>Align with central Microsoft security and AI roadmaps, influencing platform capabilities and landing them in Copilot and MAI consumer scenarios.</li>\n<li>Document and evangelize secure agentic AI patterns, ensuring they address novel risks, support safe delegation, and enable responsible orchestration of actions.</li>\n<li>Mentor engineers and foster a culture of secure innovation, balancing rapid development with rigorous protection for customers.</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>Bachelor&#39;s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.</li>\n<li>8+ years in technical engineering roles building large-scale services.</li>\n<li>6+ years hands-on experience designing and operating security-critical or AI-powered systems at scale, including agentic AI, secure orchestration, or advanced threat defenses.</li>\n<li>Proven ability to design, build, and ship agentic AI features or frameworks.</li>\n<li>Ability to clearly explain complex systems and security concepts to technical and non-technical stakeholders and influence cross-org roadmaps.</li>\n<li>Experience building production agent systems using frameworks such as LangGraph, Amazon Strands SDK, or similar platforms; familiarity with agentic design patterns including tool calling, multi-agent coordination, and secure delegation patterns.</li>\n<li>Hands-on experience with distributed training frameworks (Ray, Slurm, HPC), containerization and orchestration technologies (Docker, Kubernetes) for ML model deployment, and ML lifecycle management in production environments.</li>\n<li>Experience designing evaluation frameworks for LLM-based applications and implementing observability for agent systems using tools such as Phoenix, MLFlow, LangFuse, or custom eval harnesses; understanding of AI safety evaluation methodologies including adversarial testing and red-teaming.</li>\n<li>Experience integrating with Azure AI services, Azure OpenAI Service, or Microsoft security platforms (Azure AD, Defender, Purview).</li>\n<li>Track record of mentoring experienced engineers, driving adoption of secure agentic AI standards across product teams, and influencing technical roadmaps while balancing innovation velocity with fundamentals.</li>\n</ul>\n<p>#MicrosoftAI Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.</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_d8428649-c5d","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/principal-software-engineer-copilot-security-8/","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year.","x-skills-required":["C","C++","C#","Java","JavaScript","Python","LangGraph","Amazon Strands SDK","Distributed training frameworks","Containerization and orchestration technologies","ML model deployment","ML lifecycle management","Evaluation frameworks","Observability for agent systems","AI safety evaluation methodologies","Adversarial testing and red-teaming","Azure AI services","Azure OpenAI Service","Microsoft security platforms"],"x-skills-preferred":[],"datePosted":"2026-04-24T12:14:16.432Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C, C++, C#, Java, JavaScript, Python, LangGraph, Amazon Strands SDK, Distributed training frameworks, Containerization and orchestration technologies, ML model deployment, ML lifecycle management, Evaluation frameworks, Observability for agent systems, AI safety evaluation methodologies, Adversarial testing and red-teaming, Azure AI services, Azure OpenAI Service, Microsoft security platforms","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":139900,"maxValue":274800,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_30ff260f-203"},"title":"Senior Software Engineer - Copilot Security","description":"<p>About the Team Copilot Security is at the core of Microsoft’s mission to deliver trusted, human-centered AI experiences. We make security and resilience intrinsic to every Copilot interaction across devices, platforms, and ecosystems. Our work spans secure identity flows, defenses against emerging threats like prompt injection, and privacy-first systems that scale globally.</p>\n<p>About the Role Copilot for consumers is entering a new era of agentic AI, where intelligent agents act on behalf of users across Windows, Edge, web, mobile, and third-party products. We’re seeking a Senior Software Engineer to help develop security features and solutions that harness agentic AI to protect customers and enable new capabilities in Copilot. You’ll contribute to designing and building AI-powered defenses, secure orchestration frameworks, and enabling technologies that empower Copilot to act safely and responsibly at scale. This role is ideal for engineers who are passionate about applying technical skills to solve security challenges and build systems that balance innovation with trust.</p>\n<p>Why This Role Matters Your work will directly shape how hundreds of millions of users experience safe, trustworthy, and innovative AI. You’ll be at the forefront of defining how agentic AI can proactively defend users, mitigate emerging threats, and unlock new secure scenarios, making a global impact on Microsoft’s most transformative products.</p>\n<p>Responsibilities Develop and ship agentic AI-powered security features that protect users from threats such as prompt injection, adversarial manipulation, and abuse of agentic workflows. Implement secure orchestration frameworks that enable Copilot to safely delegate, coordinate, and execute actions across devices, services, and platforms. Invent and apply new intelligent agents that leverage information flow analysis and apply common sense and judgement guardrails for security and privacy. Collaborate with product, engineering, security, privacy, and AI teams to adopt agentic security patterns and best practices across Copilot and MAI. Monitor key metrics for agentic AI security and innovation, using data-driven insights to improve defenses and enablement. Document secure agentic AI patterns, ensuring they address novel risks, support safe delegation, and enable responsible orchestration of actions.</p>\n<p>Qualifications Required Qualifications: Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Preferred Qualifications: 3+ years in technical engineering roles building large-scale services. Hands-on experience designing and operating security-critical or AI-powered systems at scale, including agentic AI, secure orchestration, or advanced threat defenses. Proven ability to design, build, and ship agentic AI features or frameworks Ability to clearly explain complex systems and security concepts to technical and non-technical stakeholders and influence cross-org roadmaps. Agentic AI Development &amp; Orchestration: Experience building production agent systems using frameworks such as LangGraph, Amazon Strands SDK, or similar platforms; familiarity with agentic design patterns including tool calling, multi-agent coordination, and secure delegation patterns Hands-on experience with distributed training frameworks (Ray, Slurm, HPC), containerization and orchestration technologies (Docker, Kubernetes) for ML model deployment, and ML lifecycle management in production environments Experience designing evaluation frameworks for LLM-based applications and implementing observability for agent systems using tools such as Phoenix, MLFlow, LangFuse, or custom eval harnesses; understanding of AI safety evaluation methodologies including adversarial testing and red-teaming Experience integrating with Azure AI services, Azure OpenAI Service, or Microsoft security platforms (Azure AD, Defender, Purview) Track record of mentoring less experienced engineers, driving adoption of standards and best practices across teams, and influencing technical roadmaps while balancing innovation velocity with fundamentals</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_30ff260f-203","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-copilot-security-4/","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$119,800 – $234,700 per year","x-skills-required":["C","C++","C#","Java","JavaScript","Python","Agentic AI","Secure Orchestration","Advanced Threat Defenses","Distributed Training Frameworks","Containerizationoloj","Orchestration Technologies","ML Model Deployment","ML Lifecycle Management","Evaluation Frameworks","Observability","AI Safety Evaluation Methodologies","Adversarial Testing","Red-Teaming","Azure AI Services","Azure OpenAI Service","Microsoft Security Platforms"],"x-skills-preferred":["LangGraph","Amazon Strands SDK","Docker","Kubernetes","Phoenix","MLFlow","LangFuse","Custom Eval Harnesses"],"datePosted":"2026-04-24T12:13:46.865Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redmond"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C, C++, C#, Java, JavaScript, Python, Agentic AI, Secure Orchestration, Advanced Threat Defenses, Distributed Training Frameworks, Containerizationoloj, Orchestration Technologies, ML Model Deployment, ML Lifecycle Management, Evaluation Frameworks, Observability, AI Safety Evaluation Methodologies, Adversarial Testing, Red-Teaming, Azure AI Services, Azure OpenAI Service, Microsoft Security Platforms, LangGraph, Amazon Strands SDK, Docker, Kubernetes, Phoenix, MLFlow, LangFuse, Custom Eval Harnesses","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_bdf4e05a-b8c"},"title":"MTS - Site Reliability Engineer","description":"<p>As Microsoft continues to push the boundaries of AI, we are on the lookout for individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad , to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all , consumers, businesses, developers , so that everyone can realize its benefits.</p>\n<p>We’re looking for an experienced Site Reliability Engineer (SRE) to join our infrastructure team. In this role, you’ll blend software engineering and systems engineering to keep our large-scale distributed AI infrastructure reliable and efficient. You’ll work closely with ML researchers, data engineers, and product developers to design and operate the platforms that power training, fine-tuning, and serving generative AI models.</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>Responsibilities:</p>\n<p>Reliability &amp; Availability: Ensure uptime, resiliency, and fault tolerance of AI model training and inference systems.</p>\n<p>Observability: Design and maintain monitoring, alerting, and logging systems to provide real-time visibility into model serving pipelines and infra.</p>\n<p>Performance Optimization: Analyze system performance and scalability, optimize resource utilization (compute, GPU clusters, storage, networking).</p>\n<p>Automation &amp; Tooling: Build automation for deployments, incident response, scaling, and failover in hybrid cloud/on-prem CPU+GPU environments.</p>\n<p>Incident Management: Lead on-call rotations, troubleshoot production issues, conduct blameless postmortems, and drive continuous improvements.</p>\n<p>Security &amp; Compliance: Ensure data privacy, compliance, and secure operations across model training and serving environments.</p>\n<p>Collaboration: Partner with ML engineers and platform teams to improve developer experience and accelerate research-to-production workflows.</p>\n<p>Qualifications:</p>\n<p>Required Qualifications: 4+ years of experience in Site Reliability Engineering, DevOps, or Infrastructure Engineering roles.</p>\n<p>Preferred Qualifications: Strong proficiency in Kubernetes, Docker, and container orchestration. Knowledge of CI/CD pipelines for Inference and ML model deployment. Hands-on experience with public cloud platforms like Azure/AWS/GCP and infrastructure-as-code. Expertise in monitoring &amp; observability tools (Grafana, Datadog, OpenTelemetry, etc.). Strong programming/scripting skills in Python, Go, or Bash. Solid knowledge of distributed systems, networking, and storage. Experience running large-scale GPU clusters for ML/AI workloads (preferred). Familiarity with ML training/inference pipelines. Experience with high-performance computing (HPC) and workload schedulers (Kubernetes operators). Background in capacity planning &amp; cost optimization for GPU-heavy environments.</p>\n<p>Work on cutting-edge infrastructure that powers the future of Generative AI. Collaborate with world-class researchers and engineers. Impact millions of users through reliable and responsible AI deployments. 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We make security and resilience intrinsic to every Copilot interaction,across devices, platforms, and ecosystems. Our work spans secure identity flows, defenses against emerging threats like prompt injection, and privacy-first systems that scale globally.</p>\n<p>We’re seeking a hands-on Principal Software Engineer to lead the development of security features and innovative solutions that harness agentic AI to both protect our customers and enable new agentic capabilities in Copilot. You’ll design, build, and ship AI-powered defenses, secure orchestration frameworks, and enabling technologies that empower Copilot to act safely and responsibly at scale.</p>\n<p>This role demands deep engineering expertise, creativity in applying agentic AI to security challenges, and a passion for building systems that balance innovation with trust.</p>\n<p>Your work will directly shape how hundreds of millions of users experience safe, trustworthy, and innovative AI. 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Proven ability to design, build, and ship agentic AI features or frameworks. Agentic AI Development &amp; Orchestration: Experience building production agent systems using frameworks such as LangGraph, Amazon Strands SDK, or similar platforms; familiarity with agentic design patterns including tool calling, multi-agent coordination, and secure delegation patterns. Hands-on experience with distributed training frameworks (Ray, Slurm, HPC), containerization and orchestration technologies (Docker, Kubernetes) for ML model deployment, and ML lifecycle management in production environments. Experience designing evaluation frameworks for LLM-based applications and implementing observability for agent systems using tools such as Phoenix, MLFlow, LangFuse, or custom eval harnesses; understanding of AI safety evaluation methodologies including adversarial testing and red-teaming. 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You’ll experience the pace of a scale-up combined with the stability of a proven business model, enabling you to build, test, and improve continuously.</p>\n<p>Flexibility: Work a hybrid setup with 50% in-office time for collaboration, and spend up to 8 weeks a year from other inspiring locations. 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You&#39;ll work alongside a Data Scientist and a Data Analyst to develop a smart, dynamic, and data-driven pricing strategy. Our team uses modern tooling, including S3, Redshift, Athena, DuckDB, MLflow, SageMaker, Terraform, Docker, Jenkins, and AWS EKS.</p>\n<p>As a Senior DataOps Engineer / Software Engineer, you&#39;ll be the engineering backbone that enables our Data Scientists to move from experimentation to production. 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You should have strong hands-on skills in Python, experience with CI/CD, Docker, and infrastructure-as-code (e.g., Terraform), familiarity with cloud platforms (AWS preferred), and deploying services in production. Exposure to or interest in ML model deployment (MLflow, SageMaker, or similar) is a strong plus.</p>\n<p>Our team is passionate about using cutting-edge LLM tools and agents to improve productivity. We&#39;re looking for someone who is proactive, hands-on, and takes ownership of problems and drives solutions forward.</p>\n<p>Benefits include:</p>\n<ul>\n<li>Impact: Shape the future of travel with products used by millions of guests and thousands of hosts.</li>\n<li>Learning: Grow professionally in a culture that thrives on curiosity and feedback.</li>\n<li>Great People: Join a team of smart, motivated, and international colleagues who challenge and support each other.</li>\n<li>Technology: Work in a modern tech environment with a pace of a scale-up combined with the stability of a proven business model.</li>\n<li>Flexibility: Work a hybrid setup with 50% in-office time for collaboration, and spend up to 8 weeks a year from other inspiring locations.</li>\n<li>Perks on Top: Travel benefits, gym discounts, and other perks to keep you energized.</li>\n</ul>\n<p>If you&#39;re interested in joining our team, apply online on our careers page! Your first travel contact will be Katharina from HR.</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_f156ea4b-6a3","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Holidu Hosts GmbH","sameAs":"https://holidu.jobs.personio.com","logo":"https://logos.yubhub.co/holidu.jobs.personio.com.png"},"x-apply-url":"https://holidu.jobs.personio.com/job/2523360","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"Full-time","x-salary-range":null,"x-skills-required":["Python","CI/CD","Docker","Infrastructure-as-code","Cloud platforms","Deploying services in production"],"x-skills-preferred":["ML model deployment","LLM tools and agents"],"datePosted":"2026-04-18T22:10:00.244Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Munich, Germany"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, CI/CD, Docker, Infrastructure-as-code, Cloud platforms, Deploying services in production, ML model deployment, LLM tools and agents"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8b447835-74a"},"title":"Senior DataOps Engineer - Revenue Management (all genders)","description":"<p><strong>Your future team</strong></p>\n<p>You&#39;ll be part of our new Dynamic Pricing &amp; Revenue Management team, working alongside a Data Scientist and a Data Analyst. Together, you will work towards one core goal: helping hosts improve occupancy and earnings through a smart, dynamic, and data-driven pricing strategy.</p>\n<p><strong>Our Tech Stack</strong></p>\n<ul>\n<li>Data Storage &amp; Querying: S3, Redshift (with decentralized data sharing), Athena, and DuckDB.</li>\n<li>ML &amp; Model Serving: MLflow, SageMaker, and deployment APIs for model lifecycle management.</li>\n<li>Cloud &amp; DevOps: Terraform, Docker, Jenkins, and AWS EKS (Kubernetes) for scalable, resilient systems.</li>\n<li>Monitoring: ELK, Grafana, Looker, OpsGenie, and in-house tools for full visibility.</li>\n<li>Ingestion: Kafka-based event systems and tools like Airbyte and Fivetran for smooth third-party integrations.</li>\n<li>Automation &amp; AI: Extensive use of AI tools like Claude, Copilot, and Codex.</li>\n</ul>\n<p><strong>Your role in this journey</strong></p>\n<p>As a Data Ops Engineer – Revenue Management, you&#39;ll be the engineering backbone that enables our Data Scientists to move from experimentation to production. 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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.</p>\n<p>Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval. 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As a key contributor, you&#39;ll own and architect large-scale data processing pipelines, build ML training and fine-tuning pipelines, and develop tools and real-time systems for robotics data collection, teleoperation, model evaluation, data curation, and data annotation.</p>\n<p>In this role, you&#39;ll interact directly with robotics and AV stakeholders to understand their technical needs and drive product development. You&#39;ll also design comprehensive monitoring and evaluation frameworks for robotics models and data quality, and collaborate with ML engineers and researchers to bring robotics research into production.</p>\n<p>To succeed, you&#39;ll need at least 6 years of high-proficiency software engineering experience, with a strong background in complex systems and the ability to independently research, analyze, and unblock hard technical problems. You should have strong programming skills in Python and TypeScript/Node.js for production systems, experience with React and modern frontend development for 3D interfaces, and concurrent and real-time systems expertise.</p>\n<p>We&#39;re looking for someone who can deliver features at high velocity while maintaining system reliability and performance, and has a track record of working with cross-functional teams including ML engineers, researchers, and customers. Strong communication skills and the ability to operate with high autonomy are essential.</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_d6fc00c5-564","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/4612282005","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","TypeScript/Node.js","React","Concurrent and real-time systems","Distributed systems","Workflow orchestration","Cloud infrastructure","Databases","Data processing at large scale"],"x-skills-preferred":["C++","Robotics hardware platforms","Computer vision","SLAM","Motion planning","Imitation learning","Autonomous vehicle data","Lidar technologies","3D data processing","ML model deployment and serving frameworks","Teleoperation systems","VR interfaces","Workflow orchestration systems"],"datePosted":"2026-04-18T15:59:19.712Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Argentina; Uruguay"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, TypeScript/Node.js, React, Concurrent and real-time systems, Distributed systems, Workflow orchestration, Cloud infrastructure, Databases, Data processing at large scale, C++, Robotics hardware platforms, Computer vision, SLAM, Motion planning, Imitation learning, Autonomous vehicle data, Lidar technologies, 3D data processing, ML model deployment and serving frameworks, Teleoperation systems, VR interfaces, Workflow orchestration systems"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ef6605f2-fe0"},"title":"Software Engineer, Robotics","description":"<p>We&#39;re looking for a skilled Software Engineer to join our Robotics business unit. 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You will be responsible for meeting specific KPIs, including consumption-based revenue targets, partner satisfaction, and expansion opportunities.</li>\n</ul>\n<ul>\n<li>Industry Insight: Stay informed about trends in AI, machine learning, and generative media to proactively identify opportunities and provide thought leadership to partners.</li>\n</ul>\n<ul>\n<li>Partner Success: Ensure partners have the resources and support they need to succeed. Manage the end-to-end partner experience to foster long-term, mutually beneficial relationships.</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>4+ years of experience at an infrastructure or cloud company, with demonstrated expertise in contract negotiations and managing strategic partnerships and driving go-to-market initiatives,</li>\n</ul>\n<ul>\n<li>Previous experience in Account Executive (AE) roles particularly within the AI, technology, or enterprise software industries is preferred,</li>\n</ul>\n<ul>\n<li>Proven track record of driving partner success and managing complex, multi-stakeholder initiatives from inception to execution.</li>\n</ul>\n<ul>\n<li>Strong understanding of AI infrastructure, generative models, and model deployment processes.</li>\n</ul>\n<ul>\n<li>Experience in co-selling, joint marketing, and building go-to-market strategies with external partners.</li>\n</ul>\n<ul>\n<li>Expertise in program management with the ability to manage multiple complex projects simultaneously, meeting deadlines and delivering results.</li>\n</ul>\n<ul>\n<li>Strong communication skills, with the ability to engage technical and non-technical audiences and lead cross-functional teams.</li>\n</ul>\n<ul>\n<li>A proactive, problem-solving mindset with the ability to adapt to a fast-changing landscape.</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_34601aa9-464","directApply":true,"hiringOrganization":{"@type":"Organization","name":"fal","sameAs":"https://www.fal.com","logo":"https://logos.yubhub.co/fal.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/fal/jobs/4134775009","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$220,000 - $270,000 OTE + equity + comprehensive benefits package","x-skills-required":["AI infrastructure","Generative models","Model deployment processes","Contract negotiations","Strategic partnerships","Go-to-market initiatives","Co-selling","Joint marketing","Program management"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:56:11.030Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI infrastructure, Generative models, Model deployment processes, Contract negotiations, Strategic partnerships, Go-to-market initiatives, Co-selling, Joint marketing, Program management","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":220000,"maxValue":270000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b372d3eb-ee1"},"title":"Staff Research Engineer, Applied AI","description":"<p>We are seeking a Staff Research Engineer, Applied AI to lead the development and deployment of novel applications, leveraging Google&#39;s generative AI models.</p>\n<p>This role focuses on rapidly developing new features, and working across partner teams to deliver solutions, and maximize impact for Google and top customers.</p>\n<p>You will be instrumental in translating cutting-edge AI research into real-world products, and demonstrating the capabilities of latest-generation models.</p>\n<p>We are looking for engineers with a strong track record of building and shipping AI-powered software, ideally with experience in early-stage environments where they have contributed to scaling products from initial concept to production.</p>\n<p>The ideal candidate will be motivated by the opportunity to drive product &amp; 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Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave.</p>\n<p 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_66cf66eb-76e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Reddit Inc.","sameAs":"https://www.redditinc.com","logo":"https://logos.yubhub.co/redditinc.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/reddit/jobs/7731772","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$216,700-$303,400 USD","x-skills-required":["ML infrastructure","model training","model deployments","ML optimization","cloud-based technologies","graph databases","graph neural networks","common programming languages","frameworks of ML"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:47:48.295Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"ML infrastructure, model training, model deployments, ML optimization, cloud-based technologies, graph databases, graph neural networks, common programming languages, frameworks of ML","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_3b01c809-8ef"},"title":"Staff Machine Learning Systems Engineer","description":"<p>As a Staff Machine Learning Systems Engineer at Reddit, you will lead the development of a platform for large-scale ML models. Your responsibilities will include designing end-to-end model lifecycle patterns (MLOps) to boost velocity of development for ML engineers, zero-to-one development and support of a graph ML codebase and platform, collaborating with ML engineers on performance tuning, optimizing batch data processing, and architecting pipelines to build and maintain massive graph data structures.</p>\n<p>We are looking for an experienced engineer with 8+ years of experience in ML infrastructure, including model training and model deployments. You should have hands-on experience with ML optimization, cloud-based technologies, MLOps tools, and proficiency with common programming languages and frameworks of ML. Strong focus on scalability, reliability, performance, and ease of use is essential.</p>\n<p>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. 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Build multi-agent frameworks and secure gateways while integrating real-time security gates and identity standards. 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$291,000 + bonus + equity + 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_aa1a6f6f-fee","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/7561938","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$197,000 - $291,000 + bonus + equity + benefits","x-skills-required":["Bachelor's degree or equivalent practical experience","8 years of experience in software development, and with data structures/algorithms","5 years of hands-on experience in AI research (e.g. RL, finetuning, evals), AI applications, or model deployment","Proven experience in rapidly developing and shipping software products","Deep understanding of software development best practices, including testing & deployment","Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform, AWS, Azure)","Substantial experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.","Ability to work in a fast-paced environment and adapt to changing priorities"],"x-skills-preferred":["Experience with generative AI research or applications","Contributions to open-source projects","Experience working in, or founding early stage startups","Experience delivering software solutions in a fast-paced, customer-facing environment"],"datePosted":"2026-04-18T15:40:05.366Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California, US"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Bachelor's degree or equivalent practical experience, 8 years of experience in software development, and with data structures/algorithms, 5 years of hands-on experience in AI research (e.g. RL, finetuning, evals), AI applications, or model deployment, Proven experience in rapidly developing and shipping software products, Deep understanding of software development best practices, including testing & deployment, Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform, AWS, Azure), Substantial experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc., Ability to work in a fast-paced environment and adapt to changing priorities, Experience with generative AI research or applications, Contributions to open-source projects, Experience working in, or founding early stage startups, Experience delivering software solutions in a fast-paced, customer-facing environment","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":197000,"maxValue":291000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5f40194b-3c0"},"title":"Product Manager, Forge","description":"<p>We are seeking a talented and experienced product manager to define and execute the strategy for Forge, our product that enables customers to build, fine-tune and deploy custom AI models at scale.</p>\n<p>Forge turns cutting-edge research into enterprise-ready capabilities by powering model fine-tuning, reinforcement learning and post-training workflows. 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features from 0 to 1.</li>\n<li>Mentor and develop team members, fostering a collaborative and high-performing environment.</li>\n<li>Partner with PM team to qualify &amp; size new project opportunities.</li>\n</ul>\n<p>Minimum qualifications:</p>\n<ul>\n<li>A bachelor degree in computer science, electrical engineering or equivalent experience.</li>\n<li>8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).</li>\n<li>5 years of experience in minimum of one ML field (eg. media generation, reinforcement learning, infrastructure etc.).</li>\n<li>7+ years of experience leading technical projects and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning), including at least 5 years of experience in a people leadership role overseeing and guiding technical teams.</li>\n</ul>\n<p>Preferred qualifications:</p>\n<ul>\n<li>Experience with generative AI models and applications.</li>\n<li>Contributions to open-source projects.</li>\n<li>Experience with front-end development.</li>\n<li>Proven experience in rapidly developing and shipping software products in a fast-paced, customer-facing startup-like environment, demonstrating adaptability to changing priorities.</li>\n<li>Experience evaluating model performance, analyzing results, and implementing improvements.</li>\n<li>Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform, AWS, Azure).</li>\n<li>Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.</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_6d455f7d-e09","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/","logo":"https://logos.yubhub.co/google.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/deepmind/jobs/7215819","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["software development","generative AI models","machine learning","cloud computing","front-end development","leadership"],"x-skills-preferred":["open-source projects","model deployment","data processing","debugging","fine tuning"],"datePosted":"2026-03-16T14:39:39.514Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Singapore"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"software development, generative AI models, machine learning, cloud computing, front-end development, leadership, open-source projects, model deployment, data processing, debugging, fine tuning"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_7badeaf5-492"},"title":"Hardware / Software CoDesign Engineer","description":"<p><strong>Hardware / Software CoDesign Engineer</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>Scaling</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$342K – $555K • 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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You will evangelize these constraints with various vendors to develop and influence future hardware architectures towards efficient training and inference on our models. If you are excited about efficiently distributing a large language model across devices, dealing with and optimizing system-wide/rack-wide networking bottlenecks and eventually tailoring the compute pipe and memory hierarchy of the hardware platform, simulating workloads at different abstractions and working closely with our partners, this is the perfect opportunity!</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Co-design future hardware for programmability and performance with our hardware vendors</li>\n</ul>\n<ul>\n<li>Assist hardware vendors in developing optimal kernels and add support for it in our compiler</li>\n</ul>\n<ul>\n<li>Develop performance estimates for critical kernels for different hardware configurations and drive decisions on compute core and memory hierarchy features</li>\n</ul>\n<ul>\n<li>Build system performance models at different abstraction levels and carry out analysis to drive decisions on scale up, scale out, front end networking</li>\n</ul>\n<ul>\n<li>Work with machine learning engineers, kernel engineers and compiler developers to understand their vision and needs from high performance accelerators</li>\n</ul>\n<ul>\n<li>Manage communication and coordination with internal and external partners</li>\n</ul>\n<ul>\n<li>Influence the roadmap of hardware partners to optimize them for OpenAI’s workloads.</li>\n</ul>\n<ul>\n<li>Evaluate potential partners’ accelerators and platforms.</li>\n</ul>\n<ul>\n<li>As the scope of the role and team grows, understand and influence roadmaps for hardware partners for our datacenter networks, racks, and buildings.</li>\n</ul>\n<p><strong>You might thrive in this role if you have:</strong></p>\n<ul>\n<li>4+ years of industry experience, including experience harnessing compute at scale and optimizing ML platform code to run efficiently on target hardware.</li>\n</ul>\n<ul>\n<li>Strong experience in software/hardware co-design</li>\n</ul>\n<ul>\n<li>Deep understanding of GPU and/or other AI accelerators</li>\n</ul>\n<ul>\n<li>Experience with CUDA, Triton or a related accelerator programming language</li>\n</ul>\n<ul>\n<li>Experience driving Machine Learning accuracy with low precision formats</li>\n</ul>\n<ul>\n<li>Experience with system performance modeling and analysis to optimize ML model deployment</li>\n</ul>\n<ul>\n<li>Strong coding skills in C/C++ and Python</li>\n</ul>\n<ul>\n<li>Are familiar with the fundamentals of deep learning computing and chip architecture/microarchitecture.</li>\n</ul>\n<p><strong>These attributes are nice to have:</strong></p>\n<ul>\n<li>PhD in Computer Science and Engineering with a specialization in Computer Architecture, Parallel Computing. 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