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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. We are a team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. 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This role is ideal for those who thrive in a fast-paced environment, enjoy solving complex business challenges, and are passionate about turning AI potential into real-world impact.</p>\n<p>What you will do</p>\n<p>Strategic Discovery &amp; Vision Setting • Lead executive-level workshops to identify business challenges and opportunities where Mistral’s AI can drive step-change improvements. • Co-create AI adoption roadmaps with customers, articulating the “art of the possible” and a clear path to value. • Collaborate with Account Executives to develop business cases, quantify ROI, and align solutions with customer objectives.</p>\n<p>AI Solution Design &amp; Deployment • Architect end-to-end AI solutions, integrating Mistral’s models and platform into customer workflows and technical infrastructure. • Partner with the Applied AI team to design, prototype, and deploy AI solutions in production, ensuring scalability and impact. • Own the execution of pilot projects and proofs-of-value, demonstrating the potential of our technology and paving the way for full-scale deployment.</p>\n<p>Value Realization &amp; Customer Success • Serve as a trusted advisor to customers, guiding their AI strategy and ensuring they maximize the value of their investment in Mistral. • Monitor key performance indicators (KPIs) tied to business outcomes, and communicate progress to executive sponsors. • Proactively identify expansion opportunities within accounts, building on initial successes to drive long-term partnerships.</p>\n<p>Cross-Functional Collaboration • Act as the bridge between customers and Mistral’s internal teams, synthesizing feedback to influence product and research roadmaps. • Develop reusable assets, best practices, and playbooks to scale go-to-market efforts and ensure consistent delivery excellence. • Travel (~30-60%) to foster deep client relationships and support on-site deployment.</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_3f6303c3-e07","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/1e51a251-94cd-486e-8992-93024840412e","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Foundational knowledge of AI/ML/Data Science","Hands-on experience building and deploying AI applications (Python)","Strong business acumen and problem-solving skills","Executive presence and communication skills to influence senior stakeholders","Resilient, results-driven, and comfortable leading through influence in a collaborative environment"],"x-skills-preferred":[],"datePosted":"2026-04-24T13:09:02.395Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seoul"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Foundational knowledge of AI/ML/Data Science, Hands-on experience building and deploying AI applications (Python), Strong business acumen and problem-solving skills, Executive presence and communication skills to influence senior stakeholders, Resilient, results-driven, and comfortable leading through influence in a collaborative environment"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8fdb6230-a30"},"title":"Member of Technical Staff - AI Product Engineer - Web","description":"<p>As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time.</p>\n<p>Our vision is bold and broad , to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. 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Lead and conduct performance audits and plan/facilitate energy audits at NA plants to validate program effectiveness, identify system-level gaps, and define improvement plans. Forecast environmental impacts of upcoming technologies. Influence long-term planning strategies to ensure ENV targets are proactively supported. Communicate and collaborate with both internal and external stakeholders for awareness, benchmarking, and promotion of Honda&#39;s Environmental Performance &amp; Sustainability Programs (energy/water/waste/CO2 reductions). Participate in external work groups on energy management and decarbonization and lead implementation of internal energy efficiency processes to help Honda achieve energy reduction and decarbonization targets. Work to identify energy management training opportunities and share information with other Honda locations to improve overall associate competence. Provide expert technical content and guidance to enhance associate competence and long-term knowledge development. Maintain and revise Honda Green Building and Green Equipment standards and associated checklists as necessary to stay current on building codes, ASHRAE, and Triple Action to Zero targets and work closely with plant environmental teams to define, implement, and verify achievement of environmental performance requirements. Support all plants and project leaders as necessary with mechanical calculations necessary for Env impact forms and verify all CO2, water, and waste reduction calculations for all Triple Zero Investment Fund projects.</p>\n<p>Data Tracking and Analysis Track, understand, analyze, and report NA environmental performance data (energy/water/waste/CO2) locally, regionally on monthly, quarterly and annual basis. Identify trends, opportunities to improve, and explain gaps. Manage ENV performance data systems and implement improvements and assist plants in identifying root cause of abnormal increases and decreases in energy usage at all NA manufacturing plants. Author and implement regional environmental performance standards and procedures, driving consistent energy reduction initiatives. across all NA manufacturing operations; revise NA metrics tracking procedure for CO2 and energy management as necessary. Maintain continuous understanding of energy usage trends for all manufacturing plants in North America. Analyze local, regional, and global environmental performance metrics to identify systemic trends, risks, and opportunities. Provide interpretation, issue resolution, and guidance to ensure data-driven decisions.</p>\n<p>Research and Benchmarking Continuously monitor and assess emerging technologies, industry trends, and policy shifts in environmental sustainability. Evaluate applicability to Honda operations and provide authoritative recommendations for pilot or full-scale implementation. Lead the research, technical validation (e.g., benchmarking/pilots), and deployment of innovative environmental solutions. Champion integration of new technologies or processes into Honda operations. Co-lead the development and periodic update of Honda&#39;s NA environmental strategy roadmap, ensuring alignment with corporate sustainability goals and identifying evolving technical requirements.</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_ac7bf451-9a9","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Honda","sameAs":"https://careers.honda.com","logo":"https://logos.yubhub.co/careers.honda.com.png"},"x-apply-url":"https://careers.honda.com/us/en/job/10467/Environmental-Senior-Engineer","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$90,200.00 - $112,700.00","x-skills-required":["Advanced proficient with Microsoft Office products","Strong communication and presentation skills","Ability to manage and lead multiple projects","Ability to work well in a collaborative environment","Strong planning and prioritization skills","Reliable and flexible","Advanced data analysis and problem-solving skills","Strong understanding of business plan, budgeting and cost reporting","Ability to effectively perform root cause analysis and implement countermeasures"],"x-skills-preferred":[],"datePosted":"2026-04-22T17:21:56.864Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Marysville"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Automotive","skills":"Advanced proficient with Microsoft Office products, Strong communication and presentation skills, Ability to manage and lead multiple projects, Ability to work well in a collaborative environment, Strong planning and prioritization skills, Reliable and flexible, Advanced data analysis and problem-solving skills, Strong understanding of business plan, budgeting and cost reporting, Ability to effectively perform root cause analysis and implement countermeasures","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":90200,"maxValue":112700,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_07a3c83e-51e"},"title":"Research Engineer, Infrastructure, Numerics","description":"<p>We&#39;re looking for an infrastructure research engineer to design and build the core systems that enable efficient large-scale model training with a focus on numerics. You will focus on improving the numerical foundations of our distributed training stack, from precision formats and kernel optimizations to communication frameworks that make training trillion-parameter models stable, scalable, and fast.</p>\n<p>This role is ideal for someone who thrives at the intersection of research and systems engineering: a builder who understands both the math of optimization and the realities of distributed compute.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design and optimize distributed training infrastructure for large-scale LLMs, focusing on performance, stability, and reproducibility across multi-GPU and multi-node setups.</li>\n<li>Implement and evaluate low-precision numerics (for example, BF16, MXFP8, NVFP4) to improve efficiency without sacrificing model quality.</li>\n<li>Develop kernels and communication primitives that use hardware-level support for mixed and low-precision arithmetic.</li>\n<li>Collaborate with research teams to co-design model architectures and training recipes that align with emerging numeric formats and stability constraints.</li>\n<li>Prototype and benchmark scaling strategies such as data, tensor, and pipeline parallelism that integrate precision-adaptive computation and quantized communication.</li>\n<li>Contribute to the design of our internal orchestration and monitoring systems to ensure that thousands of distributed experiments can run efficiently and reproducibly.</li>\n<li>Publish and share learnings through internal documentation, open-source libraries, or technical reports that advance the field of scalable AI infrastructure.</li>\n</ul>\n<p>Skills and Qualifications:</p>\n<p>Minimum qualifications:</p>\n<ul>\n<li>Bachelor’s degree or equivalent experience in computer science, electrical engineering, statistics, machine learning, physics, robotics, or similar.</li>\n<li>Understanding of deep learning frameworks (e.g., PyTorch, JAX) and their underlying system architectures.</li>\n<li>Thrive in a highly collaborative environment involving many, different cross-functional partners and subject matter experts.</li>\n<li>A bias for action with a mindset to take initiative to work across different stacks and different teams where you spot the opportunity to make sure something ships.</li>\n<li>Strong engineering skills, ability to contribute performant, maintainable code and debug in complex codebases in areas such as floating-point numerics, low-precision arithmetic, and distributed systems.</li>\n</ul>\n<p>Preferred qualifications , we encourage you to apply if you meet some but not all of these:</p>\n<ul>\n<li>Familiarity with distributed frameworks such as PyTorch/XLA, DeepSpeed, Megatron-LM.</li>\n<li>Experience implementing FP8, INT8, or block-floating point (MX) formats and understanding their numerical trade-offs.</li>\n<li>Prior contributions to open-source deep learning infrastructure such as PyTorch, DeepSpeed, or XLA.</li>\n<li>Publications, patents, or projects related to numerical optimization, communication-efficient training, or systems for large models.</li>\n<li>Experience training and supporting large-scale AI models.</li>\n<li>Track record of improving research productivity through infrastructure design or process improvements.</li>\n</ul>\n<p>Logistics:</p>\n<ul>\n<li>Location: This role is based in San Francisco, California.</li>\n<li>Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $475,000 USD.</li>\n<li>Visa sponsorship: We sponsor visas. 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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. We are a diverse workforce that thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI.</p>\n<p>Role Summary : AI Deployment Strategist As an AI Deployment Strategist, you will drive the adoption and deployment of Mistral’s AI solutions, working closely with customers from strategic vision to production implementation. 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This is early-stage, high-conviction research with the potential for outsized impact.</p>\n<p><strong>About the Role</strong></p>\n<p>Our team is focused on a critical question: how do we defend against a world where powerful, autonomous, self-improving AI systems may be used adversarially?</p>\n<p>As a Research Engineer on our team, you&#39;ll build and eval model organisms of autonomous systems and develop the defensive agents needed to counter them. This work sits at the intersection of AI capabilities research, security, and policy—what we learn directly shapes how Anthropic and the world prepare for advanced AI.</p>\n<p>This is applied research with real-world stakes. Your work will inform decisions at the highest levels of the company, contribute to public demonstrations that shape policy discourse, and help build technical defenses that could matter enormously as AI systems become more capable.</p>\n<p><strong>What You&#39;ll Do</strong></p>\n<ul>\n<li>Design and build autonomous AI systems that can use tools and operate across diverse environments—creating model organisms that help us understand and defend against advanced adversarial AI</li>\n</ul>\n<ul>\n<li>Create evals and training environments to understand and shape agent behavior in desirable ways</li>\n</ul>\n<ul>\n<li>Develop defensive agents that can detect, disrupt, or outcompete adversarial AI systems in realistic scenarios</li>\n</ul>\n<ul>\n<li>Interface Claude with hardware platforms (e.g. robotics, physical systems) to understand cyberphysical risks and defenses</li>\n</ul>\n<ul>\n<li>Translate technical findings into compelling demonstrations and artifacts that inform policymakers and the public</li>\n</ul>\n<ul>\n<li>Collaborate with external experts in cybersecurity, national security, and AI safety to scope and validate research directions</li>\n</ul>\n<p><strong>Sample Projects</strong></p>\n<ul>\n<li>Developing systems where Claude controls diverse hardware and robotics platforms simultaneously</li>\n</ul>\n<ul>\n<li>Creating attack-defend simulations (CTFs, wargames, adversarial games) to test defensive AI capabilities</li>\n</ul>\n<ul>\n<li>Designing and implementing RL environments for training defensive agents</li>\n</ul>\n<ul>\n<li>Pointing autonomous systems at real-world security challenges to characterize risks and develop mitigations</li>\n</ul>\n<p><strong>You May Be a Good Fit If You</strong></p>\n<ul>\n<li>Have strong software engineering skills, particularly in Python</li>\n</ul>\n<ul>\n<li>Have experience building and working with LLM-based agents or autonomous systems</li>\n</ul>\n<ul>\n<li>Are driven to find solutions to ambiguously scoped, high-stakes problems</li>\n</ul>\n<ul>\n<li>Design and run experiments quickly, iterating fast toward useful results</li>\n</ul>\n<ul>\n<li>Thrive in collaborative environments (we love pair programming!)</li>\n</ul>\n<ul>\n<li>Care deeply about AI safety and want your work to have real-world impact on how humanity navigates advanced AI</li>\n</ul>\n<ul>\n<li>Can own entire problems end-to-end, including both technical and non-technical components</li>\n</ul>\n<ul>\n<li>Are comfortable working on sensitive projects that require discretion and integrity</li>\n</ul>\n<p><strong>Strong Candidates May Also Have</strong></p>\n<ul>\n<li>Experience with reinforcement learning, self-play, or multi-agent systems</li>\n</ul>\n<ul>\n<li>Experience with robotics, hardware interfaces, or cyberphysical systems</li>\n</ul>\n<ul>\n<li>Track record of building demos or prototypes that communicate complex technical ideas</li>\n</ul>\n<ul>\n<li>Experience working with external stakeholders (policymakers, government, researchers)</li>\n</ul>\n<ul>\n<li>Familiarity with AI safety research and threat modeling for advanced AI systems</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements:</strong> We require at least a Bachelor&#39;s degree in a related field or equivalent experience. <strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>\n<p><strong>Visa sponsorship:</strong> We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>\n<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work. We think AI systems like the ones we&#39;re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.</p>\n<p><strong>Your safety matters to us.</strong> To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiters to help us find the best candidates for our open roles.</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_48f07618-377","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5067100008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$320,000 - $850,000USD","x-skills-required":["Python","LLM-based agents","Autonomous systems","Reinforcement learning","Self-play","Multi-agent systems","Robotics","Hardware interfaces","Cyberphysical systems","AI safety research","Threat modeling"],"x-skills-preferred":["Software engineering","Collaborative environments","AI safety","Discretion and integrity"],"datePosted":"2026-03-08T13:45:56.349Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, LLM-based agents, Autonomous systems, Reinforcement learning, Self-play, Multi-agent systems, Robotics, Hardware interfaces, Cyberphysical systems, AI safety research, Threat modeling, Software engineering, Collaborative environments, AI safety, Discretion and integrity","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":320000,"maxValue":850000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_e90bfe14-f3c"},"title":"Member of Technical Staff - Retrieval-Augmented Generation (RAG)","description":"<p><strong>Summary</strong></p>\n<p>Microsoft AI are looking for a talented Member of Technical Staff to help build Copilot memory and personalization — AI that remembers, evolves, and grows with each user.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Member of Technical Staff, you will design and build large-scale Copilot memory and personalization systems leveraging search, embeddings, retrieval, ranking, and Retrieval-Augmented Generation (RAG). 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