Liquid AI jobs

Senior Buyer, Procurement, Liquids & Prepress North America 3 Locations posted: Posted 30+ Days Ago

(Senior / Expert) AI Developer / Engineer at Enterprise AI CoE (f/m/d) Region Europe | Country Germany | Internal Posting Location Munich We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you`ll do Summary: We are looking for a top-notch experienced (Senior / Expert) AI Developer to support our agile AI development team in designing, building and deploying enterprise-grade Agentic AI and ML solutions for SAP's internal business organizations. You will play a key role in developing scalable (Gen) AI and multi-agent systems and products, leveraging SAP's latest technologies, and applying strong software engineering skills combined with a deep understanding of data and MLOps practices to ensure robust, maintainable, and highly available systems. You will help empower all SAP employees by transforming trusted data into real-time insights and intelligent action, aligning with our goals of Process Simplification, Automation, and Business AI across the enterprise domains. The Role: In this role, you will work closely with AI Product Owners, data scientists, and architects to translate AI concepts

Director of Business Development - Liquid Cooling Equipment USA - Illinois - Naperville posted: Posted 30+ Days Ago

Senior Manager, Treasury Capital and Liquidity Management Minneapolis, Minnesota posted: Posted 3 Days Ago

Applied AI, Fullstack Software Engineer, Critical and Sovereign Institutions, Paris Paris About Mistral 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 mistral.ai/careers. About The Job Mistral AI is seeking an Applied AI Engineer, Fullstack Software Engineer to facilitate the adoption of its products among customers operating in critical, sovereign, and highly regulated environments. The Applied AI Engineer - Fullstack Software Engineer will be an integral part of our Applied AI Engineering team, helping drive the successful deployment of Mistral AI products for critical infrastructure, sovereign institutions, and strategic public or private-sector organizations. You will work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations while respecting

Senior Vice President, Market and Liquidity Risk Manager Frankfurt am Main, Hessen, Germany

AI/ML Engineer San Francisco Bay Area, San Francisco, California, United States About Brain Co. Brain Co. is an applied AI startup co-founded by Jared Kushner and Elad Gil, and backed by leading Silicon Valley builders including Patrick Collison and Andrej Karpathy. We are building AI applications for the world's most important institutions, delivering impact on real-world problems across governments, healthcare systems, and critical industries. Our progress so far: - Automated construction permitting for a sovereign government → 80% faster, unlocking $375M+ in value - Optimized supply chains for a leading global energy company → 30% lower cost, 99% reliability, preventing $100M+ in losses - Streamlined hospital patient care across national health systems → 40% better outcomes, 80% less admin work Company momentum: - Raised a $55M Series A from leading investors - Built a team of 70+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks At Brain Co., we focus on applying frontier AI to real institutional challenges, working alongside governments, healthcare systems, and critical industries to modernize how essential services operate. We are looking for leaders who want to help bring new technology into institutions that impact millions of people. About The Role As an AI/ML Engineer at Brain Co., you will play a crucial role in deploying state-of-the-art models to automate various real world problems in sectors such as healthcare, government and energy. Part of the role will involve turning research breakthroughs into practical solutions for various nation states. This role is your opportunity to make a

Vice President, Cash & Liquidity Management Sales Frankfurt posted: Posted 30+ Days Ago

AI Infrastructure Engineer San Francisco

AI Engineer, Model Quality and Performance Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role You'll own model quality and performance for Cerebras' inference offerings. You will define what "good" looks like across the models we serve, building AI-driven systems to measure it at scale, and translating those signals into artifacts our customers and product team actually use. You'll use AI agents to spin up custom eval suites per customer use case, mine trajectories for representative test data, automate the repetitive parts of release qual, and help build performance datasets and benchmarking workflows for customer use

Sr. Thermal Engineer, Liquid Cooling Systems San Jose, CA, United States About Etched Etched is building the world's first AI inference system purpose-built for transformers - delivering over 10x higher performance and dramatically lower cost and latency than a B200. With Etched ASICs, you can build products that would be impossible with GPUs, like real-time video generation models and extremely deep & parallel chain-of-thought reasoning agents. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Job Summary We are seeking a highly experienced Senior Thermal Engineer, Liquid Cooling Systems to join our team and lead our efforts in optimizing thermal management for high-performance systems. As a Senior Thermal Engineer, Liquid Cooling Systems at Etched, you will play a crucial role in developing and implementing advanced thermal management solutions for our high-performance data center products. Your expertise in water cooling, thermal simulations, and cooling system design will be essential in ensuring optimal thermal performance and reliability. You will work with various water cooling components, including internal manifolds, quick disconnects, CDU (Coolant Distribution Units), heat exchangers, and advanced thermal interface materials. Key responsibilities - Lead the design and optimization of thermal management systems for high-performance data center products, focusing on water cooling solutions and advanced cooling concepts. - Develop and implement water cooling solutions, including internal manifolds, quick disconnects, CDUs (Coolant Distribution Units), and heat exchangers. Ensure effective cooling and thermal management for high-power processors

Corporate Treasury, Liquidity Planning & Coverage - Associate London, United Kingdom posted: Posted 15 Days Ago

Machine Learning Systems Research Engineer, Agent Post-training - Enterprise GenAI San Francisco, CA; New York, NY AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world. The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research and resources that serve all of our enterprise clients. As an ML Sys Research Engineer, you'll work on building out the algorithms for our next-gen Agent RL training platform, support large scale training, and research and integrate state-of-the-art technologies to optimize our ML system. Your customer will be other MLREs and AAIs on the Enterprise AI team who are taking the training algorithms and applying them to client use-cases ranging from next-generation AI cybersecurity firewall LLMs to training foundation healthtech search models. If you are excited about shaping the future of the modern AI movement, we would love to hear from you! You will: - Build, profile and optimize our training and inference framework. - Post-train state of the art models, developed both internally and from the community, to

AI Research Scientist — Agentic AI for Materials Discovery Redmond, WA; Pasadena, CA This role sits within Meta's Reality Labs Research, in the Material and Systems Innovation team, which develops advanced materials for two of Meta's most ambitious hardware frontiers: lightweight, all-day wearable AR glasses and next-generation sensing and actuating materials for robotics. The AI Specialist will design and build LLM-orchestrated multi-agent systems that autonomously drive materials discovery pipelines - from computational screening and simulation through synthesis and characterization - across both domains. By closing this loop with agentic AI, we aim to compress discovery timelines from years to weeks, directly accelerating Meta's ability to ship breakthrough AR/VR and robotics hardware. This position bridges two of Meta's highest-priority investment areas - frontier AI and the physical systems underpinning the metaverse and embodied intelligence - and will contribute both production systems and published research at top-tier venues. Responsibilities: - Design, implement, and optimize LLM-orchestrated multi-agent systems for autonomous materials discovery pipelines - Build specialized AI sub-agents that operate within a closed-loop discovery framework - Integrate agentic AI workflows with computational chemistry tools (DFT, MD, Monte Carlo) and HPC infrastructure - Develop and fine-tune retrieval-augmented generation (RAG) systems over scientific literature corpora for real-time knowledge synthesis - Collaborate with materials scientists, computational chemists, and ML researchers to translate domain workflows into autonomous agent architectures - Evaluate and benchmark agent performance on materials discovery tasks - measuring accuracy, throughput, and synthetic viability of generated candidates - Contribute to open-source tooling and publish research

Liquid Intern (Applications from University of Reading University Students Only) Bishops Stortford, England posted: Posted 30+ Days Ago

Forward Deployed AI Accelerator, Marketing Singapore, Sydney Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world's largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Stripe's Marketing organization is undergoing a fundamental transformation in how it works. We're building a team of Forward Deployed AI Accelerators (FDAs) embedded directly with marketing cohorts to make AI the default mode for all work - not an occasional tool, but the foundation of how every marketer at Stripe executes. Today, marketers are already achieving remarkable results: building their own data dashboards, creating agents that compress multi-day processes, and authoring tools that accelerate workflows. The FDA team exists to take what's working and systematically scale it across the entire marketing organization. What you'll do As a Forward Deployed AI Accelerator, you'll be embedded with a group of approximately 20 marketers organized by functional team, shared workflow, or location. You'll build alongside them, and you will help them fundamentally change how they operate. Your measure of success is the number of workflows you've permanently transformed and the extent to which those in your group start any

Landfill Liquid / Gas Technician Castaic, California, United States of America Embrace the role of a Landfill Liquid & Gas Technician at Chiquita Canyon Landfill! Operate and maintain pumps, gas wells, and equipment while ensuring safety and environmental compliance. Enjoy competitive pay, great benefits, and opportunities for growth in a dynamic, supportive workplace. Ready to make an impact? Apply today!

Senior Forward Deployed Engineer, Applied AI US-CA-Menlo Park, Menlo Park, California, United States At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is about empowering enterprises to achieve their full potential - and people too. With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology - and careers - to the next level. Where Data Does More. Join the Snowflake team. At Snowflake, we are building a high-impact team to help the world's most innovative companies unlock the power of AI. As a Senior Forward Deployed Engineer, Applied AI on our Cortex AI team, you will be a hands-on technical leader and trusted partner to our most strategic customers. You will own the end-to-end delivery of enterprise AI programs, leading a team of 2-4 engineers while staying

Liquidity Risk Data Governance & Controls, Analyst Tempe, AZ posted: Posted 30+ Days Ago

Liquid Industrial Waste Systems Technology Development and Transfer Engineer US, Arizona, Phoenix posted: Posted Today

Senior ML Engineer - Agentic AI Waltham MA - 10 CityPoint posted: Posted 6 Days Ago

Investment and Liquidity Risk Analyst, Assistant Vice President Krakow, Poland posted: Posted 22 Days Ago

Senior AI Engineer (f/m/d) Bochum Who is Sonar? Sonar is driving the future of agent-centric software development. As the leader in AI code review and verification, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and maintainable. Integrating seamlessly with Claude Code, Codex, Cursor, GitHub Copilot, Gemini, and Devin, we help over 75% of the Fortune 100 build trusted, reliable, compliant software. Customers who use Sonar are 44% less likely to report an outage due to AI-generated code. We believe code verification is the critical missing link in the Agent-Centric Development Cycle (AC/DC). Industry giants like Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor Company count on us to provide independent, explainable, consistent review and governance of their AI-generated code via products like: SonarQube: The world's leading AI code review and verification platform. SonarQube Foundation Agent: Currently topping the leaderboards for agentic software repair. SonarSweep & Sonar Context Augmentation: Providing the enterprise-grade context and constraints agents need to be truly effective. Our team operates across global hubs in Austin, Bochum, Dubai, Geneva, London, Singapore, Tokyo, and Washington D.C. We move with a mindset we call CODE: Committed to our customers and community. Obsessed with quality. Deliberate in our decisions. Effective as one team. With over $400M in revenue and profitable, fast-paced growth, we are building the backbone of the AI software revolution. If you're hungry to have an impact, want to build at a fast pace, and ready to work

AI Research Scientist, Audio-Visual Understanding, FAIR Menlo Park, CA; New York, NY; San Francisco, CA Meta is seeking a Research Scientist to join Fundamental AI Research (FAIR), a research organization focused on making significant advances in AI. Our organization is driven by advancing the science of intelligence and developing technology toward achieving superintelligence. We are seeking researchers with experience in computer vision, speech and multimodal learning to join our team and help build the perceptual foundations for real-time embodied conversational agents. This role offers the opportunity to collaborate with a highly interdisciplinary team of scientists, engineers, and cross-functional partners, with access to cutting-edge technology, resources, and research facilities. Responsibilities: - Develop joint audio-visual understanding systems that integrate visual and auditory signals for advanced perception - Build and evaluate audiovisual language models for social interactions and understanding, including predicting social intent, semantic function, and reasoning from human-centric inputs - Contribute to benchmarks and evaluation frameworks for visual social understanding and interactions - Train and optimize state-of-the-art machine learning and neural network methodologies - Conduct and collaborate on research projects within a globally-based team Minimum qualifications: - Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience - A PhD in AI, computer science, data science, or related technical fields - Experience holding an industry, postdoctoral, faculty, or government researcher position - Research background in machine learning, artificial intelligence, computational statistics, or applied mathematics, or related areas - Research publications reflecting experience in theoretical or empirical research -