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You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions.</p>\n</li>\n<li><p>Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries.</p>\n</li>\n<li><p>Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders.</p>\n</li>\n<li><p>Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives.</p>\n</li>\n<li><p>Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment.</p>\n</li>\n<li><p>Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle.</p>\n</li>\n</ul>\n<p>How We Work in Applied AI</p>\n<ul>\n<li><p>We care about people and outputs. What matters is what you ship, not the time you spend on it.</p>\n</li>\n<li><p>Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week.</p>\n</li>\n<li><p>Always ask why. The best solutions come from deep understanding, not from copying what worked before.</p>\n</li>\n<li><p>We say what we mean. Feedback is direct, timely, and given because we care.</p>\n</li>\n<li><p>No politics. Low ego, high standards.</p>\n</li>\n<li><p>We embrace an unstructured environment and find joy in it.</p>\n</li>\n</ul>\n<p>About You</p>\n<ul>\n<li><p>You are fluent in English.</p>\n</li>\n<li><p>You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field.</p>\n</li>\n<li><p>You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, or Solutions Architect) focused on AI products or enterprise solutions.</p>\n</li>\n<li><p>You have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, or industrial automation.</p>\n</li>\n<li><p>You possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale.</p>\n</li>\n<li><p>You are proficient in Python, PyTorch, and modern AI frameworks (e.g., LangChain, Hugging Face).</p>\n</li>\n</ul>\n<p>Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus.</p>\n<ul>\n<li><p>You have strong software engineering skills, including API design, backend/full-stack development, and system architecture.</p>\n</li>\n<li><p>You excel in technical communication, with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers.</p>\n</li>\n<li><p>You thrive in fast-paced, collaborative environments and are passionate about mentoring and growing technical talent.</p>\n</li>\n</ul>\n<p>Ideally, you have:</p>\n<ul>\n<li><p>Contributed to open-source projects, particularly in the LLM or AI space.</p>\n</li>\n<li><p>Experience in customer-facing roles (e.g., Solutions Architect, Customer Engineer, or Technical Product Manager) with a focus on enterprise AI adoption.</p>\n</li>\n<li><p>A track record of driving technical strategy and influencing product direction based on customer needs and market opportunities.</p>\n</li>\n</ul>\n<p>Why Join Us?</p>\n<p>You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. 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Low ego, high standards.</p>\n</li>\n<li><p>We embrace an unstructured environment and find joy in it.</p>\n</li>\n</ul>\n<p>About You</p>\n<ul>\n<li><p>You are fluent in French and English.</p>\n</li>\n<li><p>You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field.</p>\n</li>\n<li><p>You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, Staff Engineer or Solutions Architect) focused on AI products or enterprise solutions.</p>\n</li>\n<li><p>You have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, or industrial automation.</p>\n</li>\n<li><p>You possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale.</p>\n</li>\n<li><p>You are proficient in Python, PyTorch, and modern AI frameworks (e.g., LangChain, Hugging Face).</p>\n</li>\n</ul>\n<p>Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus.</p>\n<ul>\n<li><p>You have strong software engineering skills, including API design, backend/full-stack development, and system architecture.</p>\n</li>\n<li><p>You excel in technical communication, with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers.</p>\n</li>\n<li><p>You thrive in fast-paced, collaborative environments and are passionate about mentoring and growing technical talent.</p>\n</li>\n</ul>\n<p>Ideally, you have:</p>\n<ul>\n<li><p>Contributed to open-source projects, particularly in the LLM or AI space.</p>\n</li>\n<li><p>Experience in customer-facing roles (e.g., Solutions Architect, Customer Engineer, or Technical Product Manager) with a focus on enterprise AI adoption.</p>\n</li>\n<li><p>A track record of driving technical strategy and influencing product direction based on customer needs and market opportunities.</p>\n</li>\n</ul>\n<p>Why Join Us?</p>\n<p>You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you!</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_9b715683-620","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/042d7b29-279b-48e2-a44b-c7bdc3180dab","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","PyTorch","LangChain","Hugging Face","Machine Learning","Artificial Intelligence","Natural Language Processing","Fine-Tuning","RAG","Agentic Systems","Cloud Platforms","MLOps Tools"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:46:11.459Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Montreal"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, PyTorch, LangChain, Hugging Face, Machine Learning, Artificial Intelligence, Natural Language Processing, Fine-Tuning, RAG, Agentic Systems, Cloud Platforms, MLOps Tools"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1b91ca47-183"},"title":"Applied AI, Technical Lead - Forward Deployed AI Engineer","description":"<p>About the Job:</p>\n<p>Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers.</p>\n<p>In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases.</p>\n<p>You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle,from pre-sales to post-implementation,while collaborating closely with research, product, and engineering teams to shape the future of our offerings.</p>\n<p>As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision.</p>\n<p>Responsibilities:</p>\n<ul>\n<li><p>Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects.</p>\n</li>\n<li><p>Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries.</p>\n</li>\n<li><p>Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders.</p>\n</li>\n<li><p>Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives.</p>\n</li>\n<li><p>Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment.</p>\n</li>\n<li><p>Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle.</p>\n</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li><p>You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field.</p>\n</li>\n<li><p>You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, or Solutions Architect) focused on AI products or enterprise solutions.</p>\n</li>\n<li><p>You have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, or industrial automation.</p>\n</li>\n<li><p>You possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale.</p>\n</li>\n<li><p>You are proficient in Python, PyTorch, and modern AI frameworks (e.g., LangChain, Hugging Face).</p>\n</li>\n<li><p>Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus.</p>\n</li>\n<li><p>You have strong software engineering skills, including API design, backend/full-stack development, and system architecture.</p>\n</li>\n<li><p>You excel in technical communication, with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers.</p>\n</li>\n<li><p>You thrive in fast-paced, collaborative environments and are passionate about mentoring and growing technical talent.</p>\n</li>\n</ul>\n<p>Ideal Qualifications:</p>\n<ul>\n<li><p>Contributed to open-source projects, particularly in the LLM or AI space.</p>\n</li>\n<li><p>Experience in customer-facing roles (e.g., Solutions Architect, Customer Engineer, or Technical Product Manager) with a focus on enterprise AI adoption.</p>\n</li>\n<li><p>A track record of driving technical strategy and influencing product direction based on customer needs and market opportunities.</p>\n</li>\n</ul>\n<p>Why join us?</p>\n<p>You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions.</p>\n<p>If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you!</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_1b91ca47-183","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/ebfdc0da-13fd-4ae9-9861-bedb5ff493ea","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","PyTorch","LangChain","Hugging Face","Cloud platforms (AWS, GCP, Azure)","MLOps tools"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:46:10.750Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, PyTorch, LangChain, Hugging Face, Cloud platforms (AWS, GCP, Azure), MLOps tools"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c77545f4-627"},"title":"Staff Machine Learning Scientist","description":"<p>We are seeking a Staff Machine Learning Scientist to help grow the Machine Learning Science team, within the Computational Science department. The ideal candidate has a strong knowledge of artificial intelligence (AI), including machine learning (ML) fundamentals and extensive experience with deep learning (DL) methods, a track record of successfully using these methods to answer complex research questions, the ability to drive independent research and thrive in a highly cross-functional environment.</p>\n<p>They will be responsible for the development of algorithms for early, blood-based detection tests for cancer. They will build on a foundation of ML/DL and statistical skills to develop models for identifying molecular signals from blood. They will also work with computational biologists, molecular biologists and ML engineers to design and drive research experiments, and will have a significant impact on the continued growth of an organisation dedicated to changing the entire landscape of cancer.</p>\n<p>The role reports to the Director, Machine Learning Science. This role can be a Hybrid role based in our Brisbane, California headquarters (2-3 days per week in office), or remote.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Independently pursue cutting-edge research in AI applied to biological problems (including cancer research, genomics, computational biology, immunology, etc.)</li>\n<li>Build new models or fine-tune existing models to identify biological changes resulting from disease</li>\n<li>Build models that achieve high accuracy and that generalise robustly to new data</li>\n<li>Apply contemporary interpretability techniques to provide a deeper understanding of the underlying signal identified by the model, ideally suggesting potential biological mechanisms</li>\n<li>Work closely with ML Engineering partners to ensure that Freenome&#39;s computational infrastructure supports optimal model training and iteration</li>\n<li>Take a mindful, transparent, and humane approach to your work</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>PhD or equivalent research experience with an AI emphasis and in a relevant, quantitative field such as Computer Science, Statistics, Mathematics, Engineering, Computational Biology, or Bioinformatics</li>\n<li>6+ years of post-doc or post-PhD industry experience achieving impactful results using relevant modelling techniques</li>\n<li>Expertise demonstrated by research publications or industry achievements, in driving independent research in applied machine learning, deep learning and complex data modelling</li>\n<li>Practical and theoretical understanding of fundamental ML models like generalised linear models, kernel machines, decision trees and forests, neural networks, boosting and model aggregation</li>\n<li>Practical and theoretical understanding of DL models like large language models or other foundation models</li>\n<li>Extensive experience with training paradigms like supervised learning, self-supervised learning, and contrastive learning</li>\n<li>Proficient in current state of the art in ML/DL approaches in different domains, with an ability to envision their applications in biological data</li>\n<li>Proficiency in a general-purpose programming language: Python, R, Java, C, C++, etc.</li>\n<li>Proficiency in one or more ML frameworks such as; PyTorch, TensorFlow and JAX; and ML platforms like Hugging Face</li>\n<li>Experience in ML analysis and developer tools like TensorBoard, MLflow or Weights &amp; Biases</li>\n<li>Excellent ability to communicate across disciplines, work collaboratively, and make progress in smaller steps via experimental iterations</li>\n<li>Proficient at productive cross-functional scientific communication and collaboration with software engineers and computational biologists</li>\n<li>A passion for innovation and demonstrated initiative in tackling new areas of research</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Deep domain-specific experience in computational biology, genomics, proteomics or a related field</li>\n<li>Experience in building DL models for genomic data, with knowledge of state-of-the-art DNA foundation models</li>\n<li>Experience in NGS data analysis and bioinformatic pipelines</li>\n<li>Experience with containerized cloud computing environments such as Docker in GCP, Azure, or AWS</li>\n<li>Experience in a production software engineering environment, including the use of automated regression testing, version control, and deployment systems</li>\n</ul>\n<p>Benefits and additional information:</p>\n<ul>\n<li>The US target range of our base salary for new hires is $199,675.00 - $283,500.00. You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered. Please note that individual total compensation for this position will be determined at the Company&#39;s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education.</li>\n<li>Freenome is proud to be an equal-opportunity employer, and we value diversity. Freenome does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.</li>\n<li>Applicants have rights under Federal Employment Laws.</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_c77545f4-627","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Freenome","sameAs":"https://freenome.com/","logo":"https://logos.yubhub.co/freenome.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/freenome/jobs/8215797002","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$199,675.00 - $283,500.00","x-skills-required":["Artificial Intelligence","Machine Learning","Deep Learning","Computational Biology","Genomics","Immunology","Python","R","Java","C","C++","PyTorch","TensorFlow","JAX","Hugging Face","TensorBoard","MLflow","Weights & Biases"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:35:13.294Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Brisbane, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Healthcare","skills":"Artificial Intelligence, Machine Learning, Deep Learning, Computational Biology, Genomics, Immunology, Python, R, Java, C, C++, PyTorch, TensorFlow, JAX, Hugging Face, TensorBoard, MLflow, Weights & Biases","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":199675,"maxValue":283500,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_faec8dc3-4d3"},"title":"Senior Machine Learning Scientist","description":"<p>We are seeking a Senior Machine Learning Scientist to help grow the Machine Learning Science team. The ideal candidate has a strong knowledge of artificial intelligence (AI), including machine learning (ML) fundamentals and extensive experience with deep learning (DL) methods. They will be responsible for the development of algorithms for early, blood-based detection tests for cancer. They will build on a foundation of ML/DL and statistical skills to develop models for identifying molecular signals from blood. They will also work with computational biologists, molecular biologists and ML engineers to design and drive research experiments, and will have a significant impact on the continued growth of an organisation dedicated to changing the entire landscape of cancer.</p>\n<p>The role reports to the Director, Machine Learning Science. This role can be a Hybrid role based in our Brisbane, California headquarters (2-3 days per week in office), or remote.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Independently pursuing cutting-edge research in AI applied to biological problems</li>\n<li>Building new models or fine-tuning existing models to identify biological changes resulting from disease</li>\n<li>Building models that achieve high accuracy and that generalise robustly to new data</li>\n<li>Applying contemporary interpretability techniques to provide a deeper understanding of the underlying signal identified by the model, ideally suggesting potential biological mechanisms</li>\n<li>Working closely with ML Engineering partners to ensure that Freenome&#39;s computational infrastructure supports optimal model training and iteration</li>\n<li>Taking a mindful, transparent, and humane approach to your work</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>PhD or equivalent research experience with an AI emphasis and in a relevant, quantitative field such as Computer Science, Statistics, Mathematics, Engineering, Computational Biology, or Bioinformatics</li>\n<li>3+ years of postdoc or post-PhD industry experience achieving impactful results using relevant modelling techniques</li>\n<li>Expertise, demonstrated by research publications or industry achievements, in applied machine learning, deep learning and complex data modelling</li>\n<li>Practical and theoretical understanding of fundamental ML models like generalised linear models, kernel machines, decision trees and forests, neural networks</li>\n<li>Practical and theoretical understanding of DL models like large language models or other foundation models</li>\n<li>Extensive experience with training paradigms like supervised learning, self-supervised learning, and contrastive learning</li>\n<li>Proficient in current state of the art in ML/DL approaches in different domains, with an ability to envision their applications in biological data</li>\n<li>Proficiency in a general-purpose programming language: Python, R, Java, C, C++, etc.</li>\n<li>Proficiency in one or more ML frameworks such as; 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As a Senior Machine Learning Engineer at Cresta, you will play a key role in shaping the future of work.</p>\n<p>At Cresta, we are on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioural best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster.</p>\n<p>As a Senior Machine Learning Engineer, you will lead the design and development of Cresta&#39;s next-generation AI Agents and Agentic Assist systems, defining system architecture and core modeling approaches. You will architect intelligent, multi-step agent workflows that combine real-time guidance, knowledge retrieval, reasoning, summarization, and automated actions into cohesive production systems.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Lead the design and development of Cresta&#39;s next-generation AI Agents and Agentic Assist systems, defining system architecture and core modeling approaches.</li>\n<li>Architect intelligent, multi-step agent workflows that combine real-time guidance, knowledge retrieval, reasoning, summarization, and automated actions into cohesive production systems.</li>\n<li>Design, deploy, and optimize LLM-powered systems, including Retrieval-Augmented Generation (RAG) pipelines, multi-agent orchestration, and domain-adapted models.</li>\n<li>Improve reasoning, planning, and tool-use capabilities in real-world AI applications.</li>\n<li>Develop evaluation strategies for complex, non-deterministic systems, including offline benchmarking, online experimentation, and LLM-as-a-judge methodologies.</li>\n<li>Diagnose and mitigate real-world failure modes such as hallucinations, retrieval errors, tool misuse, prompt brittleness, and multi-step reasoning breakdowns.</li>\n<li>Define and measure quality metrics (e.g., accuracy, faithfulness, task completion, latency, cost, robustness) to improve system reliability and performance.</li>\n<li>Optimize AI systems for scalability, latency, security, and cost efficiency in production environments.</li>\n<li>Collaborate cross-functionally with product, frontend, and backend teams to integrate AI capabilities seamlessly into Cresta&#39;s platform.</li>\n<li>Mentor engineers, contribute to technical strategy, and help shape the roadmap for Cresta&#39;s AI systems.</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>Bachelor&#39;s degree in Computer Science, Mathematics, or a related field; Master&#39;s or Ph.D. preferred.</li>\n<li>5–8+ years of industry experience building and deploying machine learning systems in production, including significant experience working with LLMs.</li>\n<li>Strong expertise in NLP, Generative AI, transformer architectures, embeddings, and retrieval systems.</li>\n<li>Proven experience designing and deploying Retrieval-Augmented Generation (RAG) systems in enterprise environments.</li>\n<li>Experience building and evaluating complex agentic or multi-step LLM workflows.</li>\n<li>Strong knowledge of modern ML frameworks and tools (e.g., PyTorch, TensorFlow, Hugging Face) and distributed/cloud-based infrastructure.</li>\n<li>Demonstrated ability to optimize real-time ML systems for performance, scalability, and reliability.</li>\n<li>Strong technical leadership skills, with the ability to influence cross-functional decisions and raise the engineering bar.</li>\n</ul>\n<p>Perks &amp; Benefits:</p>\n<ul>\n<li>We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family&#39;s needs.</li>\n<li>Paid parental leave to support you and your family.</li>\n<li>Monthly Health &amp; Wellness allowance.</li>\n<li>Work from home office stipend to help you succeed in a remote environment.</li>\n<li>Lunch reimbursement for in-office employees.</li>\n<li>PTO: 3 weeks in Canada.</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_c63160d7-3af","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Cresta","sameAs":"https://www.cresta.ai/","logo":"https://logos.yubhub.co/cresta.ai.png"},"x-apply-url":"https://job-boards.greenhouse.io/cresta/jobs/4249943008","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["NLP","Generative AI","Transformer architectures","Embeddings","Retrieval systems","PyTorch","TensorFlow","Hugging Face","Distributed/cloud-based infrastructure"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:27:30.020Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Canada (Remote)"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"NLP, Generative AI, Transformer architectures, Embeddings, Retrieval systems, PyTorch, TensorFlow, Hugging Face, Distributed/cloud-based infrastructure"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_90f641e9-987"},"title":"AI/LLM Software Developer - Verification Frontend","description":"<p>Synopsys software engineers are key enablers in the world of Electronic Design Automation (EDA), developing and maintaining software used in chip design, verification and manufacturing.</p>\n<p>They work on assignments like designing, developing, and troubleshooting software, leveraging the state-of-the-art technologies like AI/ML, GenAI and Cloud. Their critical contributions enable world-wide EDA designers to extend the frontiers of semiconductors and chip development.</p>\n<p><strong>Job Description</strong></p>\n<p><strong>Date posted</strong>: 03/29/2026</p>\n<p><strong>We Are:</strong></p>\n<p>At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.</p>\n<p><strong>You Are:</strong></p>\n<p>You are a forward-thinking engineer with a passion for leveraging cutting-edge AI technologies to revolutionize electronic design automation and verification. You thrive in dynamic environments where innovation, collaboration, and continuous learning are valued. Your experience in verification frontend flows and AI/ML frameworks enables you to bridge the gap between traditional engineering practices and intelligent automation. You are comfortable working across diverse teams, collaborating with design, verification, CAD, and methodology experts to identify impactful automation opportunities. You possess strong analytical skills, enabling you to dissect complex verification challenges and develop scalable GenAI solutions. Your commitment to professional growth is evident in your eagerness to stay current with the latest advancements in LLMs, GenAI, and verification technology. With a keen eye for detail and a drive to deliver high-quality results, you are adept at integrating AI-driven capabilities into established workflows, elevating productivity and efficiency. You value inclusivity and diverse perspectives, and you are motivated by the opportunity to shape the future of engineering through innovative, intelligent solutions.</p>\n<p><strong>What You’ll Be Doing:</strong></p>\n<ul>\n<li>Develop and deploy LLM/GenAI-based solutions to enhance verification productivity across static, formal, and simulation-based flows in EDA tools.</li>\n</ul>\n<ul>\n<li>Collaborate cross-functionally with design, verification, CAD, and methodology teams to identify high-impact areas for AI-assisted automation.</li>\n</ul>\n<ul>\n<li>Build tools and frameworks to generate or refine assertions, constraints, checkers, and test intent, summarize design/spec content, and analyze logs, failures, and coverage gaps.</li>\n</ul>\n<ul>\n<li>Integrate LLM-driven capabilities into existing verification flows, tools, and automation infrastructure, ensuring seamless adoption.</li>\n</ul>\n<ul>\n<li>Develop and maintain scripts, data pipelines, and evaluation frameworks for AI-assisted verification use cases.</li>\n</ul>\n<ul>\n<li>Stay current with advances in LLMs, GenAI, verification technology, and digital design methodologies to inform best practices.</li>\n</ul>\n<ul>\n<li>Participate in technical reviews and help define scalable AI adoption strategies within verification environments.</li>\n</ul>\n<p><strong>The Impact You Will Have:</strong></p>\n<ul>\n<li>Accelerate verification planning, setup, and closure, enabling faster time-to-market for complex digital designs.</li>\n</ul>\n<ul>\n<li>Enhance productivity and efficiency for engineering teams through intelligent automation and AI-driven solutions.</li>\n</ul>\n<ul>\n<li>Reduce manual effort and potential errors in verification by automating routine and complex tasks.</li>\n</ul>\n<ul>\n<li>Improve coverage analysis, debug processes, and testbench/content generation, resulting in higher quality silicon chips.</li>\n</ul>\n<ul>\n<li>Drive innovation in verification methodologies by integrating state-of-the-art GenAI capabilities.</li>\n</ul>\n<ul>\n<li>Foster cross-functional collaboration, contributing to robust and scalable verification strategies.</li>\n</ul>\n<ul>\n<li>Support Synopsys’ leadership in EDA technology and AI-driven engineering solutions.</li>\n</ul>\n<p><strong>What You’ll Need:</strong></p>\n<ul>\n<li>Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related field.</li>\n</ul>\n<ul>\n<li>5–8 years of experience in EDA software development with prior experience in developing GenAI-based tools.</li>\n</ul>\n<ul>\n<li>Hands-on experience with LLM/GenAI or AI/ML frameworks/tools such as PyTorch, TensorFlow, Hugging Face, LangChain, or equivalent.</li>\n</ul>\n<ul>\n<li>Proficiency in C++ and familiarity with Verilog, VHDL, or SystemVerilog.</li>\n</ul>\n<ul>\n<li>Strong understanding of verification frontend methodologies, including static analysis (CDC/RDC/Lint), formal/property-based verification, and simulation bring-up/debug.</li>\n</ul>\n<ul>\n<li>Experience with cloud or scalable compute platforms (AWS, GCP, Azure) is a plus.</li>\n</ul>\n<ul>\n<li>Familiarity with Agile development methodologies is desirable.</li>\n</ul>\n<p><strong>Who You Are:</strong></p>\n<ul>\n<li>Innovative thinker with a passion for applying AI to real-world engineering challenges.</li>\n</ul>\n<ul>\n<li>Effective communicator, able to convey complex technical concepts to diverse audiences.</li>\n</ul>\n<ul>\n<li>Collaborative team player who thrives in cross-functional environments.</li>\n</ul>\n<ul>\n<li>Strong problem-solving abilities and analytical mindset.</li>\n</ul>\n<ul>\n<li>Adaptable, eager to learn, and comfortable with ambiguity in fast-evolving technology landscapes.</li>\n</ul>\n<ul>\n<li>Self-driven and proactive, with a commitment to delivering impactful solutions.</li>\n</ul>\n<p><strong>The Team You’ll Be A Part Of:</strong></p>\n<p>You will join a collaborative and innovative engineering team focused on advancing verification productivity through AI-driven solutions. The team works closely with design, verification, CAD, and methodology groups to identify and implement high-impact automation strategies. Together, you will drive the adoption of GenAI technologies within Synopsys’ EDA ecosystem, fostering a culture of continuous improvement and technological excellence.</p>\n<p><strong>Rewards and Benefits:</strong></p>\n<p>We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.</p>\n<p>At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.</p>\n<p><strong>Benefits</strong></p>\n<p>At Synopsys, innovation is driven by our incredible team around the world. We feel honored to work alongside such talented and passionate individuals who choose to make a difference here every day. We&#39;re proud to provide the comprehensive benefits and rewards that our team truly deserves.</p>\n<p>Visit Benefits Page</p>\n<ul>\n<li>### Health &amp; Wellness</li>\n</ul>\n<p>Comprehensive medical and healthcare plans that work for you and your family.</p>\n<ul>\n<li>### Time Away</li>\n</ul>\n<p>In addition to company holidays, we have ETO and FTO Programs.</p>\n<ul>\n<li>### Family Support</li>\n</ul>\n<p>Maternity and paternity leave, parenting resources, adoption and surrogacy assistance, and more.</p>\n<ul>\n<li>### ESPP</li>\n</ul>\n<p>Purchase Synopsys common stock at a 15% discount, with a 24 month look-back.</p>\n<ul>\n<li>### Retirement Plans</li>\n</ul>\n<p>Save for your future with our retirement plans that vary by region and country.</p>\n<ul>\n<li>### Compensation</li>\n</ul>\n<p>Competitive salaries.</p>\n<p>\\<em>\\</em> Benefits vary by country and region - check with your recruiter to confirm</p>\n<p><strong>Get an idea of what your daily routine <strong>around the office</strong> can be like</strong></p>\n<p>\\ Explore <strong>Noida</strong></p>\n<p>View Map</p>\n<p>---</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_90f641e9-987","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Synopsys","sameAs":"https://careers.synopsys.com","logo":"https://logos.yubhub.co/careers.synopsys.com.png"},"x-apply-url":"https://careers.synopsys.com/job/noida/ai-llm-software-developer-verification-frontend/44408/93375604432","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["LLM/GenAI","PyTorch","TensorFlow","Hugging Face","LangChain","C++","Verilog","VHDL","SystemVerilog","static analysis","formal/property-based verification","simulation bring-up/debug"],"x-skills-preferred":[],"datePosted":"2026-04-05T13:21:21.052Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Noida"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"LLM/GenAI, PyTorch, TensorFlow, Hugging Face, LangChain, C++, Verilog, VHDL, SystemVerilog, static analysis, formal/property-based verification, simulation bring-up/debug"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1338e7d1-ad8"},"title":"Cloud Machine Learning Engineer","description":"<p>At Hugging Face, we&#39;re on a journey to democratize good AI. We are building the fastest growing platform for AI builders. We are looking for a Cloud Machine Learning engineer responsible to help build machine learning solutions used by millions leveraging cloud technologies.</p>\n<p>You will work on integrating Hugging Face&#39;s open-source libraries like Transformers and Diffusers, with major cloud platforms or managed SaaS solutions. This role involves bridging and integrating models with different cloud providers, ensuring the models meet expected performance, designing and developing easy-to-use, secure, and robust developer experiences and APIs for our users, writing technical documentation, examples and notebooks to demonstrate new features, and sharing and advocating your work and the results with the community.</p>\n<p>The ideal candidate will have deep experience building with Hugging Face Technologies, including Transformers, Diffusers, Accelerate, PEFT, Datasets, expertise in Deep Learning Framework, preferably PyTorch, optionally XLA understanding, strong knowledge of cloud platforms like AWS and services like Amazon SageMaker, EC2, S3, CloudWatch and/or Azure and GCP equivalents, experience in building MLOps pipelines for containerizing models and solutions with Docker, familiarity with Typescript, Rust, and MongoDB, Kubernetes are helpful, ability to write clear documentation, examples and definition and work across the full product development lifecycle, and bonus experience with Svelte &amp; TailwindCSS.</p>\n<p>We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_1338e7d1-ad8","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Hugging Face","sameAs":"https://huggingface.co/"},"x-apply-url":"https://apply.workable.com/j/A3879724CD","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Deep experience building with Hugging Face Technologies, including Transformers, Diffusers, Accelerate, PEFT, Datasets","Expertise in Deep Learning Framework, preferably PyTorch, optionally XLA understanding","Strong knowledge of cloud platforms like AWS and services like Amazon SageMaker, EC2, S3, CloudWatch and/or Azure and GCP equivalents","Experience in building MLOps pipelines for containerizing models and solutions with Docker","Familiarity with Typescript, Rust, and MongoDB, Kubernetes are helpful"],"x-skills-preferred":["Bonus experience with Svelte & TailwindCSS"],"datePosted":"2026-03-10T11:32:29.200Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Deep experience building with Hugging Face Technologies, including Transformers, Diffusers, Accelerate, PEFT, Datasets, Expertise in Deep Learning Framework, preferably PyTorch, optionally XLA understanding, Strong knowledge of cloud platforms like AWS and services like Amazon SageMaker, EC2, S3, CloudWatch and/or Azure and GCP equivalents, Experience in building MLOps pipelines for containerizing models and solutions with Docker, Familiarity with Typescript, Rust, and MongoDB, Kubernetes are helpful, Bonus experience with Svelte & TailwindCSS"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_af4253f8-57e"},"title":"Cloud Machine Learning Engineer - EMEA remote","description":"<p>At Hugging Face, we&#39;re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 11 million users who collectively shared over 2M models, 700k datasets &amp; 600k apps. Our open-source libraries have more than 600k+ stars on Github. Hugging Face has become the most popular, community-driven project for training, sharing, and deploying the most advanced machine learning models.</p>\n<p>We are looking for a Cloud Machine Learning engineer responsible to help build machine learning solutions used by millions leveraging cloud technologies. You will work on integrating Hugging Face&#39;s open-source libraries like Transformers and Diffusers, with major cloud platforms or managed SaaS solutions.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Bridging and integrating 🤗 transformers/diffusers models with a different Cloud provider.</li>\n<li>Ensuring the above models meet the expected performance</li>\n<li>Designing &amp; Developing easy-to-use, secure, and robust Developer Experiences &amp; APIs for our users.</li>\n<li>Write technical documentation, examples and notebooks to demonstrate new features</li>\n<li>Sharing &amp; Advocating your work and the results with the community.</li>\n</ul>\n<p>About You\nYou&#39;ll enjoy working on this team if you have experience with and interest in deploying machine learning systems to production and build great developer experiences. The ideal candidate will have skills including:</p>\n<ul>\n<li>Deep experience building with Hugging Face Technologies, including Transformers, Diffusers, Accelerate, PEFT, Datasets</li>\n<li>Expertise in Deep Learning Framework, preferably PyTorch, optionally XLA understanding</li>\n<li>Strong knowledge of cloud platforms like AWS and services like Amazon SageMaker, EC2, S3, CloudWatch and/or Azure and GCP equivalents.</li>\n<li>Experience in building MLOps pipelines for containerizing models and solutions with Docker</li>\n<li>Familiarity with Typescript, Rust, and MongoDB, Kubernetes are helpful</li>\n<li>Ability to write clear documentation, examples and definition and work across the full product development lifecycle</li>\n<li>Bonus: Experience with Svelte &amp; TailwindCSS</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_af4253f8-57e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Hugging Face","sameAs":"https://huggingface.co/"},"x-apply-url":"https://apply.workable.com/j/0CE9E806CC","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Deep experience building with Hugging Face Technologies, including Transformers, Diffusers, Accelerate, PEFT, Datasets","Expertise in Deep Learning Framework, preferably PyTorch, optionally XLA understanding","Strong knowledge of cloud platforms like AWS and services like Amazon SageMaker, EC2, S3, CloudWatch and/or Azure and GCP equivalents.","Experience in building MLOps pipelines for containerizing models and solutions with Docker","Familiarity with Typescript, Rust, and MongoDB, Kubernetes are helpful"],"x-skills-preferred":["Svelte & TailwindCSS"],"datePosted":"2026-03-10T11:32:17.703Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Paris"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Deep experience building with Hugging Face Technologies, including Transformers, Diffusers, Accelerate, PEFT, Datasets, Expertise in Deep Learning Framework, preferably PyTorch, optionally XLA understanding, Strong knowledge of cloud platforms like AWS and services like Amazon SageMaker, EC2, S3, CloudWatch and/or Azure and GCP equivalents., Experience in building MLOps pipelines for containerizing models and solutions with Docker, Familiarity with Typescript, Rust, and MongoDB, Kubernetes are helpful, Svelte & TailwindCSS"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_89406e8e-f38"},"title":"Machine Learning Engineer, Open-Source Software","description":"<p>You will be in charge of open-sourcing state-of-the-art models, whilst maintaining and improving Mistral’s publicly available libraries. 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All OSS team members can fluidly move on the production / research spectrum depending on where the needs are or where their interests lie</p>\n<p>Responsibilities\n• Releasing our models to open-source platforms and libraries, e.g., vLLM, GitHub, Hugging Face\n• Maintaining Mistral’s open-source libraries (mistral-common, mistral-finetune, mistral-inference)\n• Create and maintain tooling and services: both internal facing (internal research) and external facing (open-source libraries)\n• Implement and optimize open-source and internal libraries for performance and accuracy, ensuring production readiness and employing cutting-edge technology and innovative approaches\n• Collaborate with the open-source community (PyTorch, vLLM, Hugging Face)</p>\n<p>About you\n• Master’s degree in Computer Science, Machine Learning, Data Science, or a related field\n• Experience contributing to popular open-source libraries such as PyTorch, Tensorflow, JAX, vLLM, Transformers, Llama.cpp, ...\n• Passion for contributing to the open-source software ecosystem\n• Expert programming skills in Python, PyTorch, MLOps\n• Adaptable, proactive, and autonomous\n• Attention to detail and a drive to go the last mile to build almost perfect tools\n• Deep understanding of machine learning approaches, especially LLMs and algorithms\n• Low-ego, collaborative and have a real team player mindset</p>\n<p>Now, it would be ideal if you have:\n• Experience with training and fine-tuning large language models (e.g., distillation, supervised fine-tuning, policy optimization)\n• Experience working with Slurm\n• Worked with research teams before\n• Experience as a core-maintainer of a popular ML open-source library</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_89406e8e-f38","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mistral 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Llama.cpp"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_cd22be7a-22a"},"title":"Applied AI, Technical Lead - Forward Deployed AI Engineer","description":"<p>About the Job:</p>\n<p>Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers.</p>\n<p>In this role, you will lead a project team of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases.</p>\n<p>You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle—from pre-sales to post-implementation—while collaborating closely with research, product, and engineering teams to shape the future of our offerings.</p>\n<p>As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision.</p>\n<p>What you will do:</p>\n<ul>\n<li><p>Deliver as an IC the critical lines of code of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects.</p>\n</li>\n<li><p>Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries.</p>\n</li>\n<li><p>Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders.</p>\n</li>\n<li><p>Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives.</p>\n</li>\n<li><p>Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment.</p>\n</li>\n<li><p>Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle.</p>\n</li>\n</ul>\n<p>About you:</p>\n<ul>\n<li><p>You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field.</p>\n</li>\n<li><p>You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, or Solutions Architect) focused on AI products or enterprise solutions.</p>\n</li>\n<li><p>You have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, or industrial automation.</p>\n</li>\n<li><p>You possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale.</p>\n</li>\n<li><p>You are proficient in Python, PyTorch, and modern AI frameworks (e.g., LangChain, Hugging Face).</p>\n</li>\n<li><p>Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus.</p>\n</li>\n<li><p>You have strong software engineering skills, including API design, backend/full-stack development, and system architecture.</p>\n</li>\n<li><p>You excel in technical communication, with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers.</p>\n</li>\n<li><p>You thrive in fast-paced, collaborative environments and are passionate about mentoring and growing technical talent.</p>\n</li>\n</ul>\n<p>Ideally, you have:</p>\n<ul>\n<li><p>Contributed to open-source projects, particularly in the LLM or AI space.</p>\n</li>\n<li><p>Experience in customer-facing roles (e.g., Solutions Architect, Customer Engineer, or Technical Product Manager) with a focus on enterprise AI adoption.</p>\n</li>\n<li><p>A track record of driving technical strategy and influencing product direction based on customer needs and market opportunities.</p>\n</li>\n</ul>\n<p>Why join us?</p>\n<p>You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions.</p>\n<p>If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you!</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_cd22be7a-22a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mistral 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Our technology is designed to integrate seamlessly into daily working life.</p>\n<p>We are a global company with teams distributed between France, USA, UK, Germany and Singapore. We are a diverse workforce that thrives in competitive environments and is committed to driving innovation.</p>\n<p>Why This Role Matters</p>\n<p>You will be the technical linchpin between Mistral and our strategic partners in ASEAN (Nvidia, Dell, Hyperscalers, Global System Integrators), translating our open-weight models and sovereign AI architecture into deployable, scalable solutions.</p>\n<p>By designing joint architectures, influencing partner GTM motions, and earning a seat at the CIO/CTO table, you will accelerate Mistral’s technical credibility and deployment velocity across Asia Pacific.</p>\n<p>This is a foundational role where you will define how open-weight AI is operationalized at scale in the region.</p>\n<p>What You Will Do</p>\n<p><strong>Partner Technical Leadership &amp; Architecture Design</strong></p>\n<ul>\n<li>Lead the technical design, deployment, and enablement of Mistral’s partner solutions, bridging our AI models with partner infrastructure (Nvidia, Dell, Hyperscalers, GSIs) to deliver scalable AI Labs, AI Factories, and sovereign AI architectures.</li>\n</ul>\n<ul>\n<li>Serve as the trusted technical advisor to partner CTOs, CIOs, and engineering leaders—shaping joint architectures, guiding GPU/model deployment strategies, and accelerating GTM execution.</li>\n</ul>\n<ul>\n<li>Design reference architectures and deployment patterns for partner-led implementations (e.g., multi-GPU inference clusters, AI Lab topologies, private AI clouds).</li>\n</ul>\n<ul>\n<li>Innovate the Executive Briefing Center (EBC) function for technical leaders (CIOs, CTOs, CDOs), positioning Mistral as the default choice for enterprise AI.</li>\n</ul>\n<ul>\n<li>Co-design sovereign AI reference architectures with Nvidia and Dell (H100, H200, GB200 platforms).</li>\n</ul>\n<p><strong>Co-Sell &amp; Revenue Enablement</strong></p>\n<ul>\n<li>Collaborate with Mistral’s partner and sales teams to progress deals, providing technical expertise to penetrate accounts and influence GTM pipeline.</li>\n</ul>\n<ul>\n<li>Support partners in qualifying/disqualifying opportunities, ensuring Mistral solutions unlock maximum value for customers.</li>\n</ul>\n<ul>\n<li>Deploy Mistral’s enterprise AI suite (models, fine-tuning, use-case building) in partner-led environments, tailoring solutions to customer requirements.</li>\n</ul>\n<p><strong>Trusted Advisor &amp; Lighthouse Implementations</strong></p>\n<ul>\n<li>Drive strategic partner-led opportunities through technical discovery, architecture design, and POC execution.</li>\n</ul>\n<ul>\n<li>Lead lighthouse deployments that become referenceable case studies (e.g., Singtel AI Grid, Accenture AI Lab).</li>\n</ul>\n<ul>\n<li>Establish a scalable partner enablement framework, training 100+ partner engineers across ASEAN.</li>\n</ul>\n<p><strong>Product Feedback &amp; Internal Collaboration</strong></p>\n<ul>\n<li>Coordinate with Mistral’s product and engineering teams to relay partner-specific requirements and feedback.</li>\n</ul>\n<ul>\n<li>Align joint GTM and technical execution between Mistral Science, Partner Engineering, and partner field teams.</li>\n</ul>\n<p>About You</p>\n<p><strong>Must-Have</strong></p>\n<ul>\n<li>10–15 years’ experience in partner-facing technical sales or solution architecture (e.g., Partner SA, Alliance Architect, Partner Technology Strategist).</li>\n</ul>\n<ul>\n<li>Proven ability to engage C-suite and senior technical stakeholders (CTO, CIO, Chief Architect) in strategic architecture discussions.</li>\n</ul>\n<ul>\n<li>Deep GenAI/LLM expertise: RAG, fine-tuning, prompt engineering, model evaluation, and deployment patterns.</li>\n</ul>\n<ul>\n<li>Technical mastery of AI/ML infrastructure (GPU clusters, cloud platforms, model deployment frameworks).</li>\n</ul>\n<ul>\n<li>Track record of co-designing/deploying joint solutions with ecosystem partners (Nvidia, Dell, AWS, Accenture, etc.).</li>\n</ul>\n<ul>\n<li>Executive communication: Ability to articulate science-driven value propositions to technical and business audiences.</li>\n</ul>\n<ul>\n<li>Entrepreneurial mindset: Operates autonomously in high-growth environments; creates playbooks, not follows them.</li>\n</ul>\n<ul>\n<li>Fluent in English; confident working across diverse, cross-cultural teams in Asia.</li>\n</ul>\n<p><strong>Nice-to-Have</strong></p>\n<ul>\n<li>Experience with open-weight LLMs or open-source AI stacks (Mistral, Hugging Face, LangChain, vLLM, RAG frameworks).</li>\n</ul>\n<ul>\n<li>Prior involvement in AI Lab, AI Factory, or Sovereign Cloud deployments.</li>\n</ul>\n<ul>\n<li>Familiarity with data governance, model evaluation, and GPU sizing for large-scale inference.</li>\n</ul>\n<ul>\n<li>Network across GSIs and infrastructure partners in Asia</li>\n</ul>\n<ul>\n<li>Exposure to multi-region partner programs or joint GTM initiatives in APJ.</li>\n</ul>\n<ul>\n<li>Bonus languages: Korean, Japanese, or Mandarin for regional partner engagement.</li>\n</ul>\n<p>What we offer</p>\n<ul>\n<li>💰 Competitive cash salary and equity</li>\n</ul>\n<ul>\n<li>🚑 Health Insurance : Best in Class</li>\n</ul>\n<ul>\n<li>🥎 Sport : $90 for gym membership allowance</li>\n</ul>\n<ul>\n<li>🥕 Food : $200 monthly allowance for meals (solution might evolve as we grow bigger)</li>\n</ul>\n<ul>\n<li>🚴 Transportation : $120/month for public transport or Parking charges reimbursed</li>\n</ul>\n<ul>\n<li>🏝️ PTO: 18 per year</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_290c3d28-4b2","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mistral AI","sameAs":"https://mistral.ai/careers"},"x-apply-url":"https://jobs.lever.co/mistral/fe3542b5-4f99-4d62-af6a-fbdfd13bf0e4","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["GenAI/LLM expertise","RAG","fine-tuning","prompt engineering","model evaluation","deployment patterns","AI/ML infrastructure","GPU clusters","cloud platforms","model deployment frameworks","co-designing/deploying joint solutions","ecosystem partners","Nvidia","Dell","AWS","Accenture"],"x-skills-preferred":["open-weight LLMs","open-source AI stacks","Mistral","Hugging Face","LangChain","vLLM","RAG frameworks","data governance","model evaluation","GPU sizing","large-scale inference","GSIs","infrastructure partners","multi-region partner programs","joint GTM initiatives","APJ","Korean","Japanese","Mandarin"],"datePosted":"2026-03-10T11:27:47.209Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Singapore"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"GenAI/LLM expertise, RAG, fine-tuning, prompt engineering, model evaluation, deployment patterns, AI/ML infrastructure, GPU clusters, cloud platforms, model deployment frameworks, co-designing/deploying joint solutions, ecosystem partners, Nvidia, Dell, AWS, Accenture, open-weight LLMs, open-source AI stacks, Mistral, Hugging Face, LangChain, vLLM, RAG frameworks, data governance, model evaluation, GPU sizing, large-scale inference, GSIs, infrastructure partners, multi-region partner programs, joint GTM initiatives, APJ, Korean, Japanese, Mandarin"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f3d07174-85f"},"title":"Applied AI, Technical Lead, Forward Deployed AI Engineer - EMEA","description":"<p>About Mistral AI</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.</p>\n<p>We are a global organisation with teams distributed between France, USA, UK, Germany, and Singapore. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments.</p>\n<p>Our offerings include le Chat, the AI assistant for life and work.</p>\n<p>About The Job</p>\n<p>Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers.</p>\n<p>In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases.</p>\n<p>You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle—from pre-sales to post-implementation—while collaborating closely with research, product, and engineering teams to shape the future of our offerings.</p>\n<p>As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision.</p>\n<p>Responsibilities</p>\n<ul>\n<li><p>Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions.</p>\n</li>\n<li><p>Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries.</p>\n</li>\n<li><p>Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders.</p>\n</li>\n<li><p>Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives.</p>\n</li>\n<li><p>Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment.</p>\n</li>\n<li><p>Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle.</p>\n</li>\n</ul>\n<p>How We Work in Applied AI</p>\n<ul>\n<li><p>We care about people and outputs. What matters is what you ship, not the time you spend on it.</p>\n</li>\n<li><p>Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week.</p>\n</li>\n<li><p>Always ask why. The best solutions come from deep understanding, not from copying what worked before.</p>\n</li>\n<li><p>We say what we mean. Feedback is direct, timely, and given because we care.</p>\n</li>\n<li><p>No politics. Low ego, high standards.</p>\n</li>\n<li><p>We embrace an unstructured environment and find joy in it.</p>\n</li>\n</ul>\n<p>Requirements</p>\n<ul>\n<li><p>You are fluent in English.</p>\n</li>\n<li><p>You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field.</p>\n</li>\n<li><p>You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, or Solutions Architect) focused on AI products or enterprise solutions.</p>\n</li>\n<li><p>You have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, or industrial automation.</p>\n</li>\n<li><p>You possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale.</p>\n</li>\n<li><p>You are proficient in Python, PyTorch, and modern AI frameworks (e.g., LangChain, Hugging Face). 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Treat copy that describes the job as more important than copy that talks about the company.  Start with an opening paragraph (no heading): what the role is, who the company is, why it matters. If the ad mentions salary, include it here. One short paragraph about the company is enough — do not reproduce lengthy &quot;About Us&quot; text.  For the role details, reuse the same section headings from the original ad (e.g. if the ad says &quot;Responsibilities&quot;, use that heading, not &quot;What you&#39;ll do&quot;). Match the tone of the original: if formal, stay formal. If casual, stay casual.  Rephrase bullet points in your own words while keeping the factual content. Combine related points where it makes sense.  Content that is not directly about the role (long company history, mission statements, investor lists, press quotes) should be paraphrased into a sentence or two at most — the job seeker needs to understand the company, not read its pitch deck.  For benefits/perks: gather them from anywhere in the ad into one section. If the ad mentions nothing about benefits, omit a benefits section entirely.  Do not invent information that is not in the original ad.  ## <strong>About the Role</strong>  We&#39;re looking for a Scaled Support Specialist who lives at the intersection of deep technical troubleshooting and exceptional human communication. You&#39;ll be the front line for developers integrating with OpenRouter&#39;s API — diagnosing complex issues across dozens of model providers, untangling new edge cases, and making sure every developer who reaches out feels like they have a partner, not a ticket number.  This is not a scripted helpdesk role. Our users are highly capable engineers building the next generation of AI applications, which means the problems they bring to us are complex, nuanced, and frequently novel. You&#39;ll encounter issues daily where there is no runbook. You&#39;ll need to figure it out, often with incomplete information, and usually before anyone else on the team has seen it either.  If you&#39;re the kind of person who reads API changelogs for fun, has strong opinions about error message quality, and gets genuine satisfaction from turning a frustrated developer into a happy one — keep reading.  ## <strong>Key Responsibilities</strong>  ### <strong>Troubleshooting &amp; Problem Solving</strong> (Core Focus)  - Diagnose and resolve complex technical issues across OpenRouter&#39;s API, spanning multiple LLM providers - Reproduce bugs in ambiguous environments — different SDKs, languages, frameworks, and auth configurations — using tools like `curl`, Postman, and small test apps - Read and interpret logs, headers, and request traces; identify whether the problem is client-side, OpenRouter-side, or an upstream provider issue vs. a user misconfiguration - Turn &quot;it doesn&#39;t work&quot; into actionable findings: exact steps to reproduce, clear hypotheses, and verified fixes or workarounds  ### <strong>Developer Communication &amp; Advocacy</strong>  - Respond to developer inquiries across support channels (email, Discord, GitHub) with clarity, empathy, and technical precision - Translate complex technical root causes into human-friendly explanations - Set expectations on timelines and next steps; provide proactive updates and close the loop - Identify patterns in support requests and advocate internally for documentation improvements, API design changes, or better messages  ### <strong>Self-Directed Research &amp; Learning</strong>  - Stay current with the rapidly evolving LLM ecosystem - Develop deep expertise in OpenRouter&#39;s routing logic, fallback behavior, rate limiting, streaming (SSE), and billing systems with minimal hand-holding  ### <strong>Bridge to Product &amp; Engineering</strong>  - Spot systemic issues underneath individual tickets and push for the fix that prevents 50 more - Identify trends in support volume to capture product feedback and inform roadmap priorities - Collaborate on improving the developer experience  ## <strong>About You</strong>  ### <strong>Required:</strong>  - 4+ years in a technical support, developer support, solutions engineering, or similar role — ideally supporting an API or developer tools product - Exceptional troubleshooting instincts - Strong API fluency - Proficiency in at least one scripting language (Python or TypeScript) - Excellent written communication - Comfort with ambiguity - Genuine passion for AI and LLMs  ### <strong>Nice-to-Haves:</strong>  - Familiarity with the OpenAI SDK / Chat Completions API format - Experience with AI/ML frameworks like LangChain, LlamaIndex, or Hugging Face - Experience with observability tools (logging, tracing, metrics) - Experience scaling support operations — e.g., implementing AI-assisted support bots, building internal support dashboards, or creating automated triage workflows - Contributions to open-source projects or developer communities - Background in or exposure to ML/AI concepts beyond just using APIs (benchmarking, evals, fine-tuning)  ## <strong>Why OpenRouter</strong>  - Work at the center of the AI infrastructure stack as enterprises define how they adopt LLMs. - High ownership and autonomy to define how developer education and community scale. - Opportunity to shape a foundational function at a fast-growing company. - Fully remote team with a culture of autonomy and trust. - Competitive compensation, including base salary and equity.</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_c043b353-08f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenRouter","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openrouter.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openrouter/89ff6b47-ba08-4418-b24b-c136dbf2ef82","x-work-arrangement":"Remote","x-experience-level":"senior","x-job-type":"Full time","x-salary-range":null,"x-skills-required":["API fluency","scripting language (Python or TypeScript)","exceptional troubleshooting instincts","strong API fluency","excellent written communication"],"x-skills-preferred":["OpenAI SDK / Chat Completions API format","AI/ML frameworks like LangChain, LlamaIndex, or Hugging Face","observability tools (logging, tracing, metrics)","scaling support operations","contributions to open-source projects or developer communities"],"datePosted":"2026-03-09T09:48:23.067Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote (US)"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"API fluency, scripting language (Python or TypeScript), exceptional troubleshooting instincts, strong API fluency, excellent written communication, OpenAI SDK / Chat Completions API format, AI/ML frameworks like LangChain, LlamaIndex, or Hugging Face, observability tools (logging, tracing, metrics), scaling support operations, contributions to open-source projects or developer communities"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6215398a-2c4"},"title":"Senior Software Engineer, Forward Deployed (U.S. Public Sector)","description":"<p><strong>About Invisible</strong></p>\n<p>Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most.</p>\n<p>Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world’s top AI companies, including Microsoft, AWS, and Cohere.</p>\n<p>Our successes span industries, from supply chain automation for Swiss Gear to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets.</p>\n<p>Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest growing AI company on the 2024 Inc. 5000. 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Our salary structure accounts for regional differences in cost of living while maintaining internal equity.</p>\n<p>For this position, the annual salary ranges by location are:</p>\n<p>Tier 2 Salary Range $164,000 – $240,000USD</p>\n<p>You can find more information about our geographic pay tiers here. During the interview process, your Invisible Talent Acquisition Partner will confirm which tier applies to your location. For candidates outside the U.S., compensation is adjusted to reflect local market conditions and cost of living.</p>\n<p>Bonuses and equity are included in offers above entry level. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. 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