Liquid AI jobs

Analyst - Funding and Liquidity Management Putrajaya, Wilayah Persekutuan Kuala Lumpur, Malaysia Embrace the opportunity to become an Analyst - Funding and Liquidity Management, supporting daily operations in funding, liquidity, and asset servicing. Leverage your expertise in cash management, collateral, and FX markets while collaborating with global teams. Grow your career in a dynamic environment with opportunities for professional development and impactful contributions.

AI System Research and Development Engineer - Optimization 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. We are looking for talented System Developers and Researchers to join the Snowflake AI Research team and contribute to LLM inference and training system development, optimizations, and agentic systems. Our mission is to build the most efficient and scalable generative AI systems. Recent releases from our team include SwiftKV , an advanced inference optimization, and Arctic LLM , one of the largest open-source MoE foundation models. This is an exciting opportunity to collaborate with a world-class team, including founding members of DeepSpeed, vLLM, and TensorFlow. Together, we will push the boundaries of deep learning systems and drive cutting-edge innovations in AI. Responsibilities: - Analyze and optimize GPU kernel performance for training and inference of LLMs. - Develop and

Senior AI Engineer, Unstructured AI New York, New York, USA Joining Collibra's Unstructured AI Team - Work at the forefront of context engineering - shaping how AI systems retrieve, structure, and leverage context to deliver accurate, high-quality results at scale. - Own end-to-end technical delivery of Unstructured AI systems - from feature prototype to stable production across enterprise environments. - Build and scale full-stack systems that ingest, process, and enrich large volumes of unstructured content from distributed enterprise silos (PDFs, contracts, reports, and other document types). - Collaborate with the Best: Work closely with xYC Founders to understand complex business challenges and deliver Deasy to solve them. Be part of a dynamic team where ideas flow freely and creativity thrives. - Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Share knowledge and lead by example to maintain high building standards. This is a hybrid role based in our New York office. Our hybrid model means you'll work from the office at least two days each week. This setup helps us stay connected, work more closely together, and keep making progress as a team. Senior AI Engineer at Collibra are responsible for - Shipping complex systems under ambiguity - balancing speed and precision in real environments. - Writing and reviewing production-grade code across backend (Python, FastAPI). - Building/deploying document-processing systems that handle large-scale, unstructured data environments. - Integrating data from diverse enterprise data sources (e.g., SharePoint, Salesforce, or internal APIs)

Liquid Cooling Process Engineer Taipei, New Taipei, Taiwan Embrace the role of a Liquid Cooling Process Engineer and drive innovation in global manufacturing. Lead the development and deployment of advanced liquid cooling and hybrid solutions for electronic devices. Collaborate with cross-functional teams, ensure robust manufacturing processes, and contribute to continuous improvement in a world-class environment. Shape the future of manufacturing with us!

Senior Fullstack Engineer, Auctions Remote Alt is unlocking the value of alternative assets, starting with the $5 B trading-card market. We let collectors buy, sell, vault, and finance their cards in one place and we are backed by leaders at Stripe, Coinbase, Seven Seven Six, and pro athletes like Tom Brady and Giannis Antetokounmpo. Our next frontier is real-time pricing at scale-the Alt Value that powers every trade, loan, and product on the platform. We're looking for a Senior Fullstack Engineer to build the engine behind a marketplace that moves hundreds of millions of dollars in GMV. Our Auctions team doesn't just "list items"-we build the high-stakes, high-concurrency environments where collectors' dreams are realized. In this role, you'll sit at the intersection of high-scale transaction systems and cutting-edge AI. You'll build products that provide upfront liquidity to consignors, personalized discovery for buyers, and professional-grade tools for power sellers. If you're energized by the idea of shipping features that millions of hobbyists and power-users rely on, we want to talk. What You'll Do Here: Architect the Auction Engine: Build and scale the high-concurrency bidding and listing systems that power 9-figure annual GMV. Ship AI-Powered Liquidity: Develop next-gen features that leverage AI to provide instant valuations and upfront liquidity to our consignors and sellers. Personalize the Hobby: Use data and machine learning to build rich, personalized discovery experiences that match unique collectibles to the right buyers. Empower Power Users: Design and launch sophisticated management tools for everyone from high-frequency "power sellers" to

AI Researcher, Core ML (Turbo) San Francisco About the Role The Turbo team sits at the intersection of efficient inference (algorithms, architectures, engines) and post‑training / RL systems. We build and operate the systems behind Together's API, including high‑performance inference and RL/post‑training engines that can run at production scale. Our mandate is to push the frontier of efficient inference and RL‑driven training: making models dramatically faster and cheaper to run, while improving their capabilities through RL‑based post‑training (e.g., GRPO‑style objectives). This work lives at the interface of algorithms and systems: asynchronous RL, rollout collection, scheduling, and batching all interact with engine design, creating many knobs to tune across the RL algorithm, training loop, and inference stack. Much of the job is modifying production inference systems-for example, SGLang‑ or vLLM‑style serving stacks and speculative decoding systems such as ATLAS-grounded in a strong understanding of post‑training and inference theory, rather than purely theoretical algorithm design. You'll work across the stack-from RL algorithms and training engines to kernels and serving systems-to build and improve frontier models via RL pipelines. People on this team are often spiky: some are more RL‑first, some are more systems‑first. Depth in one of these areas plus appetite to collaborate across (and grow toward more full‑stack ownership over time) is ideal. Requirements We don't expect anyone to check every box below. People on this team typically have deep expertise in one or more areas and enough breadth (or interest) to work effectively across the stack. The closer you are

Senior Machine Learning Research Engineer San Francisco, California, United States About David AI David AI is the first audio data research company. We bring an R&D approach to data-developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is versatile, accessible, and human-it fits naturally into everyday life. As audio AI advances and new use cases emerge, high-quality training data is the bottleneck. This is where David AI comes in. David AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a year, we've brought on most FAANG companies and AI labs as customers. We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital and other Tier 1 investors. Our team is sharp, humble, ambitious, and tight-knit. We're looking for the best research, engineering, product, and operations minds to join us on our mission to push the frontier of audio AI. About our Machine Learning team Our Machine Learning team sits at the intersection of cutting-edge research and production systems, transforming raw audio into high-signal data for leading AI labs and enterprises. We own the full ML lifecycle - from researching novel speech processing algorithms to deploying models processing terabytes of audio daily. About this role As a ML Research Engineer at David AI you'll build cutting-edge speech and audio models, production inference systems

AI Design Leader Berlin, Germany; Dublin, Ireland; London, England Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey - from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. We are looking for a technically-capable product leader to head up AI Design at Fin. Fin is the #1 AI agent for customer service - a full-stack, vertically integrated AI system powered by our own in-house models, Apex, designed specifically for customer experiences. The role is to lead the Design function within our AI Group, where our custom models and core Fin functionality are developed. You will be managing our AI Designers (currently 3 Staff/Principal level AI Designers). You will work directly with AI Engineers and

Engineering Manager, AI Models Infrastructure London, England Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey - from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. Fin is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Fin Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent. Founded in 2011 and

AI Machine Learning Engineer Houston, Texas posted: Posted 30+ Days Ago

Compute Trader Global Remote / San Francisco, CA | Remote COMPUTE TRADER Location: North America Remote / San Francisco · Full-Time About Andromeda Andromeda Cluster was founded by Nat Friedman and Daniel Gross to give early-stage startups access to the kind of scaled AI infrastructure once reserved only for hyperscalers. We began with a single managed cluster - but it filled almost instantly. Since then, we've been quietly building the systems, network, and orchestration layer that makes the world's AI infrastructure more accessible. Today, Andromeda works with leading AI labs, data centers, and cloud providers to deliver compute when and where it's needed most. Our platform routes training and inference jobs across global supply, unlocking flexibility and efficiency in one of the fastest-growing markets on earth. Our long-term vision is to build the liquidity layer for global AI compute. We are expanding to new frontiers to find the brightest that work in AI infrastructure, research and engineering. The Opportunity We're hiring a Compute Trader to accelerate supply and demand matching on our platform. This is an Individual Contributor role reporting to the Head of Infrastructure. The Infrastructure team sits at the core of our infrastructure. We're responsible for acquiring and facilitating compute resources across the company, working closely with compute providers, sales, and technical teams to match compute supply with demand. Today we have already established the fundamental layer of capacity with providers. As we scale, we are building the next layer-widening our network and liquidity, deepening the scope of

Head of Procurement/Supply Chain Global Remote / San Francisco, CA | Remote Head of Procurement & Supply Chain Remote / San Francisco · Full-Time About Andromeda Andromeda Cluster was founded by Nat Friedman and Daniel Gross to give early-stage startups access to the kind of scaled AI infrastructure once reserved only for hyperscalers. We began with a single managed cluster - but it filled almost instantly. Since then, we've been quietly building the systems, network, and orchestration layer that makes the world's AI infrastructure more accessible. Today, Andromeda works with leading AI labs, data centers, and cloud providers to deliver compute when and where it's needed most. Our platform routes training and inference jobs across global supply, unlocking flexibility and efficiency in one of the fastest-growing markets on earth. Our long-term vision is to build the liquidity layer for global AI compute. We are expanding to new frontiers to find the brightest that work in AI infrastructure, research and engineering. The Opportunity We're hiring the Head of Procurement & Supply Chain to enable supply on our platform. This is an Individual Contributor role reporting to the Head of Infrastructure. The Infrastructure team sits at the core of our platform. We're responsible for acquiring and facilitating compute resources across the company, working closely with compute providers, sales, and technical teams to match compute supply with demand. Today we have already established the fundamental layer of capacity with providers. As we scale, we are building the next layer-widening our network and liquidity,

AI Engineer London, United Kingdom At Solve Intelligence , we aren't just "using" AI - we are building the proprietary algorithms that define the future of Intellectual Property. We have real paying users, massive traction, and a mission to build a billion-dollar company. 🏗️ The Role: AI Engineer We are looking for a super-talented engineer to help us build state-of-the-art AI products extremely fast . You will lead the development of algorithms that push the envelope of what is possible with LLMs. What you'll own: - Production-Ready AI: Develop and deploy proprietary algorithms that significantly increase the quality of generated patents. - SOTA Evaluation Pipelines: Build a robust, high-scale evaluation framework to benchmark our proprietary models and steer the direction of our R&D. - Advanced Prompt Engineering: Research and implement cutting-edge prompting methods to maximize model efficacy. - Full-Stack Impact: While focused on AI, you'll work across the stack (Python, Postgres, React) to ensure our research translates into a seamless user experience. 💡 About Solve Intelligence We are the fastest-growing startup transforming the IP landscape. Our AI platform manages everything from invention harvesting to patent generation. - Growth: 20-30% MoM revenue growth; selling to 600+ global IP teams (DLA Piper, tech giants, and boutiques). - Impact: Users report 50-90% efficiency improvements. - Backing: Recently featured in Sifted following our $40M Series B announcement, bringing our total funding to $55M from elite investors including Y Combinator, 20VC, Visionaries and others . 👋 Co-Founders & Team You will work directly with a

IT Business & Data Analyst – Funding and Liquidity Technology TORONTO, Ontario, Canada Embrace the role of an IT Business & Data Analyst - Funding and Liquidity Technology! Leverage your expertise in SQL, data governance, and business analysis to optimize funding and liquidity operations. Collaborate with stakeholders, ensure data quality, and drive impactful decision-making in a dynamic, high-performing environment. Grow your career with us in financial technology.

Lead AI Engineer San Francisco HQ | OnSite ABOUT SPHERE Every breakthrough in trade infrastructure has followed the same pattern: reduce a transaction cost, expand the market. Containerization for goods. SWIFT for money. Stripe for payments. Compliance is one of the last and largest - and the hardest, because trade rules aren't data to be looked up. They're a complex adaptive system with 190+ sovereign jurisdictions, in different languages, changing constantly, reacting to each other. Sphere built the system that solves it. Our AI (TRAM) ingests global trade law, interprets it, resolves conflicts across jurisdictions, and produces compliance determinations more reliable than human experts. We handle the entire lifecycle - calculation, registration, filing, remittance - at millisecond latency with zero downtime. - Backed by a16z and YC. $21M Series A, 30%+ month-over-month growth, customers include ElevenLabs, Replit, Deel, Runway, and Lovable. - Small team, global surface area. Everyone owns a domain that would be a full team at a larger company. San Francisco, five days in office. - The problem keeps compounding. Expanding into input tax, withholding, e-invoicing, tariffs - each multiplies the complexity. Tens of millions of transactions today, billions ahead. THE ROLE You'll lead development of TRAM, our proprietary AI reasoning model that reads and interprets global trade law. This isn't a lookup problem, it's a reasoning problem - and it only became solvable with LLMs. You'll build the data pipelines that ingest legal sources, the model stack that produces structured evidence, the evaluation frameworks that measure accuracy,

Manager, Enterprise Contingent Liquidity Management TORONTO, Ontario, Canada Join our team as a Manager, Enterprise Contingent Liquidity Management and play a pivotal role in shaping liquidity risk strategies for a global financial leader. Drive scenario modeling, stress analysis, and regulatory compliance while collaborating with senior management and cross-functional teams. Grow your expertise in a dynamic, high-impact environment at the forefront of financial risk management.

Senior Data Scientist - AI Tooling Dublin, Ireland; London, England Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey - from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? The Research, Analytics & Data Science (RAD) team turns insight into action. We uncover customer, product, and business insights and translate them into tools and decision systems embedded directly into GTM workflows. AI has unlocked an entirely new generation of internal tools for our GTM teams. We're evolving from static dashboards to LLM and agent-powered workflows that do the work: auto-researching accounts, summarizing prior interactions, drafting personalized outreach, flagging renewal risk, and assembling decks and docs - enabling Sales and Success to

Senior Product Manager, AWS Neurosymbolic AI Boston, Massachusetts, USA The AWS Neurosymbolic AI team is pioneering the integration of formal reasoning and neural approaches to build AI systems that are not only powerful, but provably correct. We sit at one of the most compelling frontiers in computer science: the convergence of neural networks and symbolic reasoning, where large language models meet theorem provers, and where probabilistic intelligence meets mathematical certainty. Our mission is to make AI trustworthy at scale. We develop technology that enables AI systems to reason rigorously, verify their own outputs, and provide mathematical guarantees about their behavior. This is a fundamental shift in how AI systems are built, and we believe it's on the critical path to the next generation of safe, reliable AI-powered applications. We are one of the strongest concentrations of neurosymbolic AI talent in industry. Our team includes original contributors to the Lean theorem prover and is advised by Lean's Chief Architect. We bring together researchers and engineers from both the AI and formal methods communities, a combination that is extraordinarily rare and increasingly essential. We build on Amazon's 10+ year track record of bringing automated reasoning to production at scale. AWS pioneered the use of formal methods in cloud infrastructure, from network reachability analysis to cryptographic protocol verification to access policy reasoning, systems that serve hundreds of millions of customers today. Now we're taking the next giant leap: fusing that heritage with frontier AI to make every AI system verifiable, trustworthy, and safe.

Balance Sheet & Liquidity Risk Analyst/Manager Putrajaya, Wilayah Persekutuan Kuala Lumpur, Malaysia Take on the role of a Balance Sheet & Liquidity Risk Analyst/Manager at Royal Bank of Canada. Oversee liquidity risk frameworks, analyze trading and banking products, and ensure regulatory compliance. Collaborate with cross-functional teams and present insights to senior management. Grow your career in a dynamic, global financial services environment.

US Head of Liquidity Service Location not specified

AI & ML Engineer New York, New York, New York City, New York, United States About Sandstone Sandstone is on a mission to elevate in-house legal from a support function into a true strategic partner. From day one, we've been clear about what we are-and are not. We are not replacing in-house legal teams. We are building a platform that amplifies them. Our platform enables modern legal teams to move at the speed of AI, deliver better outcomes, and create measurable business value. We unify legal data, power end-to-end workflows, and organize business context within the tools teams already use. Sandstone is the home for AI-native legal departments. Today, Sandstone is trusted by Fortune 500 companies and fast-growing innovators alike. We ship quickly, iterate relentlessly, and scale with intention. When you join Sandstone, you become part of a team that believes deeply in the compounding power of collaboration, rigorous problem-solving, and obsessive attention to detail. Our engineering team is elite, our lawyers ship code every day, and we are dedicated to building the most delightful product an in-house lawyer opens in the morning-and closes at the end of the day. The Role Sandstone is building the AI-native operating system for in-house legal teams. As an AI & ML Engineer, you will build the systems that make that possible: agents that reason over contracts and business context, retrieval systems that surface the right precedent, document understanding pipelines that turn legal work into structured intelligence, and evals that help us measure and

Technieker Liquid Lab Leuven posted: Posted 10 Days Ago

Applied AI, Forward Deployed Machine Learning Engineer - Montreal Montreal 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 https://mistral.ai/careers. About The Job Mistral AI is seeking a Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. The Applied AI Engineer will be an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products. They will work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations. In this role, you'll manage daily customer relations involving multiple stakeholders (CEO/CTO, data scientists, and software engineers)

Senior Associate (Transaction Processing) – Liquidity Operations (Manila) Metro Manila, National Capital Region, Philippines Run liquidity transaction setup, reconciliation, and servicing with strong controls and timely delivery.