Liquid AI jobs

AI Research Engineer - ML Engineering Berlin; London; Munich Who we are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards. As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously. We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams - and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications. The role At Helsing, we are pioneering the future of autonomous decision-making for defence. Our work spans the full AI landscape, including high-volume data processing, RL agent training, and large-scale foundation models. As a member of a cross-functional team, you will architect and implement the tools and platforms that enable these breakthroughs. Your focus will be on abstracting complex distributed systems to maximise training throughput and developer velocity. We are looking for engineers who can navigate the convergence of machine learning and systems engineering to build robust, scalable platforms. What you will do: - Extend our highly integrated deep learning frameworks (built on top of PyTorch), making them efficient and easy to use for

Data Center Operator Liquid Cooling Ashburn, VA, United States Manages operations for a moderately complex data center with focus on liquid cooling infrastructure, monitoring key metrics, addressing routine issues like capacity and cooling, and recommending improvements aligned with industry best practices.

AI Machine Learning Engineer 4 Locations posted: Posted Today

Director, Relationship Manager (Liquidity & Finance, Markets) Tokyo, Japan

Senior/Staff AI Algorithms Engineer Redwood City About Dexterity At Dexterity, we believe robots can positively transform the world. Our breakthrough technology frees people to do the creative, inspiring, problem-solving jobs that humans do best by enabling robots to handle repetitive and physically difficult work. We're starting with warehouse automation, where the need for smarter, more resilient supply chains impacts millions of lives and businesses worldwide. Dexterity's full-stack robotics systems pick, move, pack, and collaborate with human-like skill, awareness, and learning capabilities. Our systems are software-driven and hardware-agnostic and have already picked 100+ million goods in production. And did we mention we're customer-obsessed? Every decision, large and small, is driven by one question - how can we empower our customers with robots to do more than they thought was possible? Dexterity is one of the fastest-growing companies in robotics, backed by world-class investors such as Kleiner Perkins, Lightspeed Venture Partners, and Obvious Ventures. We're a diverse and multidisciplinary team with a culture built on passion, trust, and dedication. Come join Dexterity and help make intelligent robots a reality! About the Role We're looking for an Senior/Staff AI Algorithms Engineer with deep foundations in machine learning, reinforcement learning, and optimization-and a strong drive to apply those skills to novel, high-impact problems in robotics. You will leverage techniques from machine learning, reinforcement learning, search, and optimization to solve hard sequential decision problems that require reasoning about the physical world and its dynamics. You will also stay abreast of the latest progress in reinforcement

Thermal Engineer, Liquid Solutions Israel, Yokneam posted: Posted 17 Days Ago

Machine Learning Engineer New York About Cubist Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. Role/Responsibilities: We are seeking a Machine Learning Engineer to join the High Frequency Trading Technology team. This role will apply the latest AI technologies to solve various real-world problems and streamline day-to-day operations, such as creating a production support AI agent that helps monitor production problems and suggest actions. This role will also work with the AI research group on various projects such as creating synthetic data for training and using MCP agents to streamline research workflow. Requirements: - PhD or PhD candidate in machine learning, computer science or other AI related research fields - Experience with sequential modeling and time series forecasting using deep learning - Experience with deep neural networks and representation learning - Prior experience working in a data driven research environment - Experience with translating mathematical models and algorithms into code - Proficiency in programming languages such as Python and R - Experience with machine learning software libraries such as TensorFlow or PyTorch - Experience implementing Agent or Context engineering is strongly preferred - Experience with natural language processing technology is strongly preferred - Excellent analytical skills, with strong attention to detail - Collaborative mindset with strong

AI Research Scientist —Generative AI for Materials Discovery Redmond, WA; Pasadena, CA Meta's Reality Labs Research (RL-R) brings together a team of researchers, developers, and engineers to create the future of Mixed Reality (MR), Augmented Reality (AR), and Wearable Artificial Intelligence (AI). The Materials and Systems Innovation (MSI) group within Reality Labs Research creates and accelerates breakthrough materials and device technologies that unblock the path to low-cost, all-day wearable AR devices and advanced sensing and actuating systems for robotics. We identify key technology gaps requiring step-change innovation, build AI-driven autonomous discovery pipelines to compress development timelines, leverage external partners to accelerate research, and deliver high-quality technology solutions through cross-functional, high-performing teams. In this role, you will pioneer the application of generative AI to design novel compounds and molecular crystals, directly accelerating the discovery of next-generation materials for AR/VR devices and advanced robotic systems. Working at the frontier of deep generative modeling, computational chemistry, and agentic AI, you will develop and deploy state-of-the-art models - including diffusion models, flow matching, and transformer-based architectures - that predict and generate stable crystal structures and molecular candidates with target properties. Your work will be tightly integrated into our AI-driven autonomous discovery platform, collaborating with computational chemists and AI agent scientists to close the loop from molecular design to experimental validation. Together, we are going to build advanced prototypes, technologies, and toolsets that can advance how people interact with their surroundings. We invite you to join us as we work to bring these technologies from

Presales Engineer - Liquid Cooling 2 Locations posted: Posted 9 Days Ago

Director Product Management, Liquids 2 Locations posted: Posted 21 Days Ago

Principal Applied AI / ML Engineer San Francisco, CA About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role: We are seeking a Principal AI / ML Engineer to be a company-level technical thought leader and practitioner to help shape the future of Data and AI at Faire. This is a rare opportunity to drive broad technical strategy across data, engineering, and product while remaining deeply hands-on with cutting-edge AI research and applications. This role reports directly to the CTO of Faire. You will: Shape the AI vision - Partner with product, design, strategy & analytics, machine learning, and the broader engineering leadership to define how AI can deliver transformational value to Faire's retailers and brands. Offer thought leadership to shape company-wide priorities, with particular focus on

Principal /Staff AI Engineer - Cortex Code Agentic System US-CA-Menlo Park, Menlo Park, California, United States, US-WA-Bellevue 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. About the Role The Cortex Code team is building the future of coding agents for working with data. See our flagship product in action: Cortex Code in Action: Live Demos + AMA . As a Staff/Principal AI Engineer on Cortex Code , you will help define architect agent behavior at enterprise scale by building the agentic systems and methodology that make our users build cutting edge agentic systems that are efficient, repeatable, auditable, and shippable. You'll partner with modeling, platform, and product leadership to turn customer pain into golden scenarios, metrics, and experiment loops that the whole team can trust. Responsibilities: - Agent strategy & systems: Own major pillars of the quality stack: tuning agent behavior

Liquidity Manager, Vice President 2 Locations posted: Posted 30+ Days Ago

Lead AI Engineer Bangalore (India)

Treasury Operations Analyst - Insurance Liquidity Forecast Boston or Des Moines

CA Intern - Liquidity Management Chennai, Tamil Nadu, India

Senior Product Engineer, AI 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? We're looking for Senior Product Engineers to join the AI Group to build Fin's AI-powered products. Product Engineers working in ML work closely with both our ML Scientists and product teams. They must deeply understand our product, our customers, our ML tech stack and our broader product stack. Our group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands. We are an extremely product focussed team. We work in partnership with Product

Liquidity Risk Specialist - Derivatives Budapest, Hungary posted: Posted 2 Days Ago

Software Engineer, AI Infrastructure New York, NY; San Mateo, CA About Us: At Fireworks, we're building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We've been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We're an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI. The Role: As a Software Engineer on our AI Infrastructure team, you will help design the core systems that power Fireworks AI's generative AI platform. You will help build infrastructure and tools that ensure the reliability, performance, quality, and availability of our AI system. Our mission is to make Fireworks AI the most reliable and user friendly generative AI platform in the world. You will partner closely with our cloud infrastructure team, product team, and performance team to deliver infrastructure that bridges the gap between our customer and the ultra-performant proprietary Fireworks inference engine. Key Responsibilities: - Contribute to the design and development of scalable backend infrastructure that supports distributed training, inference, and data pipelines - Build and maintain core backend services such as LLM CI/CD pipeline, control plane, and model serving systems - Support performance optimization, cost efficiency, and reliability improvements across compute, storage, and networking

Staff Machine Learning Scientist 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? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands. We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models,

Senior Specialist, Treasury - Liquidity Vienna, Vienna, Austria Who we are We simplify wealth creation. Founded in 2014 in Vienna, Austria by Eric Demuth, Paul Klanschek and Christian Trummer, we're here to help people trust themselves enough to build their financial freedom - for now and the future. Our user-friendly, trade-everything platform empowers both first-time investors and seasoned experts to invest in the cryptocurrencies, crypto indices, stocks*, precious metals and commodities* they want - with any sized budget, 24/7. Our global team works across different cultures and time zones, bringing our products to more than 7 million customers, making us one of Europe's safest and most secure platforms that powers modern investing. Headquartered in Austria but operating across Europe, our products are built by fast-moving, talented, “roll-up-your-sleeves-and-make-it-happen” kind of people. It's these diverse perspectives and innovative minds operating as ONE TEAM that keep Bitpanda at the cutting edge of our industry. So if you're someone who thinks big, moves fast and wants to make an impact right from day one, then get ready to join our industry-changing team. Let's go! Your Mission As our Senior Specialist, Treasury - Liquidity, your mission is to strengthen Bitpanda's liquidity management framework by optimizing funding strategies, ensuring liquidity risk resilience, and supporting the business from both a risk and commercial perspective. You will be instrumental in managing liquidity positions, driving liquidity-related initiatives, and ensuring robust oversight of borrowing and investment activities within a dynamic, fast-paced environment. What You'll Do - Manage the daily liquidity

Senior Finance Analyst - Global Liquidity Management Charlotte posted: Posted Yesterday

Senior Machine Learning Scientist Berlin, Germany 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. Speed is something we fight for every day at Fin, and we believe Berlin is built for people who share that instinct. We are drawn to Berlin by its rare blend of deep technical talent and rich creative culture - all within a vibrant, globally connected city that's close to our R&D hubs in Dublin and London. It's a place where the best of the best technical talent thrive, and where people from around the world are eager to relocate and build ambitious products. Our ambition is to hire

Procesoperator Poeder- en Liquid Processing Netherlands - Zwolle posted: Posted 15 Days Ago