Liquid AI jobs

Regional Service Manager - Liquid Cooling 2 Locations posted: Posted 30+ Days Ago

Test Engineer IV - Liquid Cooling Server Racks Guadalajara posted: Posted 30+ Days Ago

Full-Stack Engineer, AI Data Platform San Francisco Bay Area Shape the Future of AI At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially. About Labelbox We're the only company offering three integrated solutions for frontier AI development: - Enterprise Platform & Tools : Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale - Frontier Data Labeling Service : Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models - Expert Marketplace : Connecting AI teams with highly skilled annotators and domain experts for flexible scaling Why Join Us - High-Impact Environment : We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions. - Technical Excellence : Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence. - Innovation at Speed : We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution. - Continuous Growth : Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI. - Clear Ownership : You'll know exactly what you're responsible for and have the

Business Data Lead Analyst –Liquidity, Derivatives and SFTs PUNE, Mahārāshtra, India

Machine Learning Engineer San Francisco About the Role Together AI is looking for an ML Engineer who will develop systems and APIs that enable our customers to perform inference and fine tune LLMs. Relevant experience includes implementing runtime systems that perform inference at scale using AI/ML models from simple models up to the largest LLMs. Requirements - 5+ years experience writing high-performance, well-tested, production quality code - Bachelor's degree in computer science or equivalent industry experience - Familiar with LLM inference ecosystem, including frameworks and engines (e.g. vLLM, SGLang, TRT, ...) - Demonstrated experience in building large scale, fault tolerant, distributed systems like storage, search, and computation - Expert level programmer in one or more of Python, Go, Rust, or C/C++ - Experience implementing runtime inference services at scale or similar Responsibilities - Design and build the production systems that power the Together Cloud inference and fine-tuning APIs, enabling reliability and performance at scale - Partner with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world - Analyze and improve efficiency, scalability, and stability of various system resources - Conduct design and code reviews - Create services, tools & developer documentation - Create testing frameworks for robustness and fault-tolerance - Participate in an on-call rotation to respond to critical incidents as needed About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we

AI Lab - Machine Learning Engineer Sant Cugat del Valles, Barcelona, Spain

Corporate Accountant - Liquidity Regulatory Reporting Chicago, IL posted: Posted 8 Days Ago

Finance Manager - Global Liquidity Management New York posted: Posted 30+ Days Ago

Senior AI Machine Learning Engineer 4 Locations posted: Posted 24 Days Ago

Senior AI/ML Engineer New York City, NY About the Role At Sigma, we're not just adding AI-we're building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we're pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions-fast. That's where you come in. As an AI/ML Engineer, you'll join a growing team focused on building the AI foundation that will power Sigma for the future. Your work will become an integral part of the workflow for the thousands of enterprises that run on Sigma. What You'll Do - Partner with product, design, and engineering teams to identify high-impact AI/ML opportunities - Prototype and productionize AI systems that feel intuitive but do a lot under the hood-recommendations, natural language interfaces, agentic workflows, and more - Develop and scale AI/ML infrastructure that powers both internal tooling and customer-facing features - Tackle novel UX problems at the intersection of AI, BI, and apps What You Bring - Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (required) - 10+ years of experience building and deploying production-grade AI/ML systems - Deep knowledge of machine learning, deep learning, and applied AI - Experience across the full ML lifecycle: data curation, training, deployment, monitoring - A track record of building things that ship-whether it's recommendations, search, machine

Data Centre – Delivery Manager London, England, United Kingdom Company Overview: Radiant is redefining how AI infrastructure is built. We design and operate AI-native cloud platforms engineered for sovereignty, performance, and scale. Our infrastructure powers GPU-native workloads, multi-tenant control planes, and high-performance AI systems designed for the most demanding environments. We are not building a generic cloud. We are building purpose-built AI infrastructure - from powered land, to compute, to software. As we scale our platform and expand our engineering organisation, we are looking for leaders who can build strong teams, uphold high standards, and deliver reliably at pace This is a cross-functional role requiring strong technical, commercial, and project delivery capabilities, with exposure to executive stakeholders, colocation operators, utilities, OEMs, engineering firms, and construction partners. What You'll Do As part of our Data Centre Delivery team, you will help scale our global AI infrastructure footprint by supporting the acquisition, deployment, and delivery of high-performance data centre capacity. This role combines technical due diligence, project delivery, stakeholder management, and infrastructure deployment across colocation, fit-out, and development projects. Key Responsibilities Data Centre Due Diligence & Site Selection - Support the evaluation and selection of colocation and powered land opportunities globally. - Conduct technical due diligence covering power, cooling, connectivity, resilience, sustainability, and operational readiness. - Assess facilities for high-density AI workloads, liquid cooling, and next-generation GPU deployments. - Review technical designs, MEP systems, and operational standards. - Support supplier evaluations and technical input into commercial negotiations. Infrastructure Delivery - Manage the

Treasury Manager - Wholesale Liquidity Implementation Toronto, Ontario posted: Posted 14 Days Ago

Applied Machine Learning Engineer 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 an Applied Machine Learning Engineer, you will serve as a vital bridge between cutting-edge AI research and practical, real-world applications. Your work will focus on developing, fine-tuning, and operationalizing machine learning models that drive business value and enhance user experiences. This is a hands-on engineering role that combines deep technical expertise with a strong customer focus to deliver scalable AI solutions. Key Responsibilities: - Customer Success: Collaborate directly with the GTM team (Account Executives and Solutions Architects) to ensure smooth integration and successful deployment of ML solutions. - Demo / Proof of Concept (PoC): Build and present compelling PoCs that demonstrate the capabilities of our AI technology. - Application Build: Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs. - Platform Features / Bug Fixes: Contribute to the internal ML platform, including adding features and resolving issues. - New Model Enablements: Integrate

Liquidity Governance, Vice President New York, New York posted: Posted 30 Days Ago

Senior AI Backend Engineer Berlin, Germany Team description SumUp Edge is our most ambitious product bet right now - an AI-powered co-pilot that transforms raw merchant data into proactive, real-time business insights. We're moving from being a payments processor to becoming an intelligent operating system for small businesses, and the backend infrastructure powering that shift needs to be world-class. This role sits at the very centre of that build: you'll architect the systems that connect our data platform, LLM orchestration layer, and merchant-facing APIs - and the work you do here will directly shape how millions of small businesses understand and grow their business. We are seeking a skilled and passionate Senior Backend Engineer to help lay the foundations of this vision. In this role, you will design, architect, and develop infrastructure and systems that enables AI products to be successful, and that turn complex, real-world merchant data into scalable, production-grade information for AI solutions. Your expertise in backend and infrastructure combined with AI will be instrumental in shaping the intelligence layer and building sustainable infrastructure that powers our next generation of products. You will collaborate closely with machine learning engineers, data scientists, product managers, and business stakeholders to translate business challenges into robust, high-impact AI capabilities. Your work will directly influence how small businesses operate, compete, and grow, positioning SumUp at the forefront of applied AI in fintech. What you'll do - Architect, design, develop and deploy our AI solutions and systems in production environments, ensuring reliability, high performance

AI Solutioning Consultant US-TX-HOUSTON-575 N. DAIRY ASHFORD RD, ENERGY CENTER II EC2 posted: Posted 30+ Days Ago

Principal, Fund Liquidity Management Lead New York, New York posted:

Senior ML/AI Modeler, Risk Automation Machine Learning Seattle, WA, United States of America Block builds simple, powerful tools that make progress towards an economy that's truly open to all. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we're helping build a financial system that is open to everyone. Join us. The Role The Risk Automation ML team automates Risk and Compliance investigations and decision making at Block through the application of agentic and generative AI technology. We work globally with partners in Product, Engineering and Operations to ensure that we are providing a safe user experience for our customers while minimizing or eliminating bad activity on our platform. We are leveraging agentic and generative AI as an integral part of our toolkit to fulfill our mission. Block's machine learning systems monitor billions of payment transactions across traditional payment and blockchain networks and surface suspicious activity (fraudulent, suspicious, illegal activity and brand violations) for trained Operations analyst review and decisioning. We are leveraging generative AI to accelerate historically manually intensive analyst workflows; by adding features in the investigative UX to accelerate agent

Vice President, Liquid Credit - Investments New York, New York posted:

Strategic Change VP – Liquidity Reporting Glasgow, United Kingdom posted: Posted 17 Days Ago

AI Engineer San Francisco, California, United States Monaco is building an AI-native revenue platform that replaces the fragmented GTM stack (CRM, sequencing, call recording, enrichment, pipeline management) with one unified system. We're consolidating 6-10 disconnected tools into a single, purpose-built platform and redefining what's possible when all the data lives under one roof in the age of AI - this is a category-defining shift, not an incremental improvement. We launched publicly in Feb 2026 and are 50 people and growing. We have strong early product-market fit, creating millions in ARR in only a few months post-launch. Opportunities exist in both scaling core systems and workflows, and building new cutting edge features from 0 to 1. We've raised $85M through our Series B from legendary investors including Founders Fund, Benchmark, and Human Capital. Our founders are industry veterans who previously led companies like Brex, Apollo, and Clari. Come join us if you want to be part of a high autonomy, high pace team reinventing one of the biggest categories in enterprise software. We're looking for an AI Engineer to help turn modern foundation models into real, reliable product features. This role is about applied AI - prompts, orchestration, retrieval, and product integration - not training models from scratch. You'll work closely with product and design to build AI capabilities that users actually trust and use every day. What you'll do: - Build LLM-powered product features using prompt engineering, structured outputs, and tools. - Build and iterate on RAG systems (chunking, embeddings,

Liquid Cooling Process Engineer 2 Locations You will be part of a world class Global Manufacturing Operation organization and contribute to developing and implementing process development and manufacturing solutions for Cisco's products. • You will Investigate, develop, and deploy manufacturing solutions for hardware systems with liquid cooling & Hybrid solution in large scale. • You will lead in the development of test plans and qualification requirements to ensure mechanical and manufacturing robustness of manufacturing process, including liquid cooling kits assembly, leakage testing and detection, coolant fill, Nitrogen charge, cleanness test, and purge process, curing process and manufacturing testing. • You will establish parameters for thermal testing, correlation of test results between factory and suppliers. • You will partner with Cisco hardware design, component engineering , product engineering, EMS / JDM/ODM manufacturing partner teams to improve specifications and process qualification procedures. Develop repeatable debug and repair manufacturing process for liquid cooling products including thermal and electrical sub components Develop process automation & poka-yoke for better process control, factory quality, and throughput Minimum Qualifications: • BS in Mechanical Engineering • 1 - 2 years of experience in manufacturing and testing for electronic devices and systems, preferably in EMS manufacturing Liquid cooling products. • 5+ years of experience in electronic device and system level air cooled or hybrid technologies • Experience in mechanical design validation and testing for electronic assemblies • Knowledge of PCBA technologies • Capable for Liquid cooling Component and system failure analysis, familiar with leakage/corrosion test detection and coolant purity/contamination

Software Engineer, Cortex AI Infrastructure 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. At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers who are energized by the opportunity to reinvent how they work. The Cortex Apps team is building the future of AI for enterprise data, and this role focuses on the backend infrastructure that powers our flagship products like Snowflake Intelligence, Cortex Agents, and Search. You won't just be using AI tools; you will be building the high-performance systems that orchestrate them, making agentic AI fast, reliable, scalable, and secure at the enterprise level. What you will do in this role: - Build Agentic Runtimes: Help build and scale the orchestration engines that execute complex agentic workflows, ensuring low-latency tool execution

AI Engineer, Advanced Solutions Lab, Google Cloud Chicago, IL, USA; +2 more The AI Engineer role within the Advanced Solutions Lab (ASL) focuses on delivering and evolving a sophisticated Machine Learning and Generative AI curriculum for global participants. Operating in an immersive environment, you will work directly with customers to apply innovative AI solutions to high-impact business challenges and specific industry use cases. You will lead the daily educational journey for participants while continuously improving the program by integrating internal Google expertise and recommending the best open-source frameworks and models. Beyond these core duties, you will actively participate in the broader Google ML community through research collaboration, engineering projects, and strategic initiatives that shape the future of AI.Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $152000 - $222000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Drive the Advanced Solutions Lab by delivering content, identifying machine learning (ML) experts across Google to support specific sessions, and providing ongoing curriculum enhancements. Lead and support customers' machine learning projects from framing to implementation in the Advanced Solutions Lab. Design