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Mistral AI is seeking Applied Scientists and Research Engineers to build telemetry-native security agents and specialized foundation models for observability and defense. This role involves creating agents that detect, diagnose, and help resolve incidents, grounded in real-world security and SRE workflows. You will work across model research, large-scale training, and productization with a strong emphasis on provenance, auditability, and safety. Mistral AI is a dynamic, collaborative team passionate about AI and its potential to transform society.

Account Executive, Enterprise, DACH

<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">About Mistral</h3>At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.We are a dynamic, collaborative 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. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">About The Job</h3>Mistral AI is seeking Applied Scientists and Research Engineers to build telemetry-native security agents and specialized foundation models for observability and defense. You’ll create agents that detect, diagnose, and help resolve incidents—grounded in real-world security and SRE workflows—and evaluate them in simulated environments before hardening for production.You’ll work across model research, large-scale training, and productization with a strong emphasis on provenance, auditability, and safety.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">What you will do</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Run pre-training, post-training and deploy state of the art models on clusters with thousands of GPUs. You don’t panic when you see OOM errors or when NCCL feels like not wanting to talk.</li><li class="leading-relaxed">Develop and pre-/post-train domain-specialized foundation models for observability, security, site reliability engineering, and code repair.</li><li class="leading-relaxed">Run large‑scale experiments to balance accuracy, latency, throughput, and power under tight memory constraints; profile and fix bandwidth/compute bottlenecks.</li><li class="leading-relaxed">Manage research projects and communications with client research teams.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">About you</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">You are fluent in English, and have excellent communication skills. You are at ease explaining complex technical concepts to both technical and non-technical audiences.</li><li class="leading-relaxed">You have background in adversarial ML, agent/prompt security, watermarking/detectors, differential privacy, or trusted execution (TEE).</li><li class="leading-relaxed">You’re not afraid of contributing to a big codebase and can find yourself around independently with little guidance.</li><li class="leading-relaxed">You’re expert with PyTorch or JAX; strong C++/CUDA or low‑level performance skills a plus; production‑grade Python.</li><li class="leading-relaxed">You don’t need roadmaps: you just do. You don’t need a manager: you just ship.</li><li class="leading-relaxed">Low-ego, collaborative and eager to learn.</li><li class="leading-relaxed">You have a track record of success through personal projects, professional projects or in academia.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">It would be great if you</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Hold a PhD / master in a relevant field (e.g., Mathematics, Physics, Machine Learning), but if you’re an exceptional candidate from a different background, you should apply.</li><li class="leading-relaxed">Have contributed to a large codebase used by many (open source or in the industry).</li><li class="leading-relaxed">Have a track record of publications in top academic journals or conferences.</li><li class="leading-relaxed">Have publications in top ML/security venues and/or contributions to open-source security or observability tools.</li><li class="leading-relaxed">Love improving existing code by fixing typing issues, adding tests and improving CI pipelines.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Benefits</h3>We have local offices in Paris, London, Marseille, Singapore and Palo Alto.<h4 class="text-lg md:text-xl font-semibold mt-6 mb-2 text-gray-800">France</h4><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">💰 Competitive cash salary and equity</li><li class="leading-relaxed">🥕 Food : Daily lunch vouchers</li><li class="leading-relaxed">🥎 Sport : Monthly contribution to a Gympass subscription</li><li class="leading-relaxed">🚴 Transportation : Monthly contribution to a mobility pass</li><li class="leading-relaxed">🧑‍⚕️ Health : Full health insurance for you and your family</li><li class="leading-relaxed">🍼 Parental : Generous parental leave policy</li><li class="leading-relaxed">🌎 Visa sponsorship</li></ul><h4 class="text-lg md:text-xl font-semibold mt-6 mb-2 text-gray-800">UK</h4><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">💰 Competitive cash salary and equity</li><li class="leading-relaxed">🚑 Insurance</li><li class="leading-relaxed">🚴 Transportation: Reimburse office parking charges, or 90GBP/month for public transport</li><li class="leading-relaxed">🥎 Sport: 90GBP/month reimbursement for gym membership</li><li class="leading-relaxed">🥕 Meal voucher: £200 monthly allowance for its meals</li><li class="leading-relaxed">💰 Pension plan: SmartPension (percentages are 5% Employee & 3% Employer)</li></ul>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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Seeking Alpha is looking for a hands-on Data Engineering Team Leader to lead the real-time data domain. This role involves evolving the data platform towards stability, quality, and scale, maintaining and extending event processing infrastructure, and adding real-time capabilities for analytics and data-driven decision-making. The leader will also focus on improving data quality, developer experience, and modern table formats, while mentoring a team of data engineers.

Seeking Alpha is the world’s largest investing community. Powered by the wisdom and diversity of crowdsourcing - millions of passionate investors connect daily to discover and share new investing ideas, discuss the latest news, debate the merits of stocks, utilize the tools we create, and make informed investment decisions. 20 million people use Seeking Alpha every month. Available on mobile, tablet, or desktop,Seeking Alpha provides a work environment that promotes employee growth and development. We are searching for individuals who want to grow with the company and will strive to improve performance. If you are driven, personable, and energetic, there will be additional opportunities for you here at SA!

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<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Description</h3>Join a Company That Invests in YouSeeking Alpha is the world’s leading community of engaged investors. We’re the go-to destination for investors looking for actionable stock market opinions, real-time market analysis, and unique financial insights. At the same time, we’re also dedicated to creating a workplace where our team thrives. We’re passionate about fostering a flexible, balanced environment with remote work options and an array of perks that make a real difference.Here, your growth matters. We prioritize your development through ongoing learning and career advancement opportunities, helping you reach new milestones. Join Seeking Alpha to be part of a company that values your unique journey, supports your success, and champions both your personal well-being and professional goals.What We're Looking ForWe are seeking a hands-on Data Engineering Team Leader to oversee our real-time data domain and lead the evolution of our data platform as it transitions from a heavy build-out to stability, quality, and scale.This role is responsible for maintaining, hardening, and extending our event processing infrastructure, focusing on adding targeted real-time processing capabilities to support analytics and informed decision-making. At Seeking Alpha, our decisions are deeply data-driven. This critical role is centered on maintaining, hardening, and extending our event processing infrastructure, with a primary focus on adding targeted real-time processing capabilities. Your work will directly support our analytics and enable informed, data-driven business decision-making based on production data. Specifically, you will be responsible for the core data component of capturing the clickstream events from the website, which is the foundational functionality for all our analytics.Looking forward, this role will help lead the team into its next phase: improving data quality and developer experience, investing in modern table formats (Iceberg), empowering analysts and data scientists, and continuously reducing cost and operational friction.This is a player–coach role, combining hands-on technical leadership with ownership, prioritization, and mentorship.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">What You'll Do</h3>Own the end-to-end real-time and event data domain, including ingestion, processing, and downstream consumption.<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Ensure stability, correctness, and observability of existing streaming and near-real-time pipelines.</li><li class="leading-relaxed">Lead the design and implementation of select real-time processing components to support analytics and decision-making use cases.</li><li class="leading-relaxed">Define clear ownership, SLAs, and best practices for event data usage across the company.</li><li class="leading-relaxed">Lead the team’s investment in modern data infrastructure</li><li class="leading-relaxed">Drive architectural decisions with a long-term view on maintainability, cost, and scalability.</li></ul>Team Leadership & Execution<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Lead, mentor, and support a team of data engineers; set technical standards and review designs and code.</li><li class="leading-relaxed">Act as a hands-on contributor in critical areas of the system.</li><li class="leading-relaxed">Own planning and prioritization, balancing new investments with platform stability and technical debt.</li><li class="leading-relaxed">Promote a culture of quality, documentation, and operational excellence.</li><li class="leading-relaxed">Partner with Data Analytics and Data Science teams to improve data accessibility, trust, and self-service capabilities.</li><li class="leading-relaxed">Improve observability across the data platform (data quality, freshness, lineage, failures).</li><li class="leading-relaxed">Explore and adopt AI-assisted development tools to improve engineering velocity and code quality.</li><li class="leading-relaxed">Stay current with emerging technologies in data engineering and analytics, and evaluate their relevance to the platform.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Requirements</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">7+ years of experience in Data Engineering, including ownership of production-grade data platforms.</li><li class="leading-relaxed">Proven experience in a technical leadership or lead IC role.</li><li class="leading-relaxed">Strong hands-on experience with Scala and Python.</li><li class="leading-relaxed">Solid experience with AWS, including S3, EC2, EMR, Kinesis, Firehose, Spark</li><li class="leading-relaxed">Strong understanding of event-driven and real-time architectures, even in maintenance-heavy environments.</li><li class="leading-relaxed">Strong experience with Airflow for orchestration of batch and near-real-time data pipelines, including production operations and troubleshooting.</li><li class="leading-relaxed">Deep knowledge of data warehousing and analytics workflows, including SQL.</li><li class="leading-relaxed">Ability to work across teams ( DevOps, IT, Dev, Product, and Analytics ) and translate business needs into technical solutions.</li></ul>Nice-to-Have Qualifications<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Experience with Apache Iceberg or other modern table formats (Delta, Hudi).</li><li class="leading-relaxed">Hands-on expertise with Redshift and/or Vertica, including performance tuning.</li><li class="leading-relaxed">Experience enabling analytics engineering workflows (dbt or similar).</li><li class="leading-relaxed">Exposure to supporting data science workloads in production.</li><li class="leading-relaxed">Strong opinions (and pragmatism) around observability, documentation, and cost management.</li></ul>

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This assessment gives us an idea of your C++ skills- Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc.- 10 Multiple Choice questions- Average time to complete: 7 to 10 minutes

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