Liquid AI jobs

Liquid Labs - Research Engineer Boston, Cambridge, Massachusetts, United States About Liquid Labs Research has been core to Liquid AI from the beginning. Liquid Labs gives that work a formal home; an internal research accelerator driving fundamental breakthroughs in the science of building intelligent, personalized, and adaptive machines. Our origins trace back to MIT CSAIL, where the foundational work on Liquid Neural Networks defined a new class of dynamical, efficient sequence-processing architectures. That research became the basis for Liquid Foundation Models (LFMs). Scalable, multimodal models built for real-world deployment in resource-constrained environments. At Liquid Labs, we extend that lineage - pushing forward the frontier of efficient, adaptive intelligence through both fundamental research and practical engineering. We work hand-in-hand with Liquid's core foundation model and systems teams to translate theory into deployed capability - defining a new generation of intelligent systems that are both powerful and efficient. About The Role: As a Research Engineer, you'll join a small, high-context team exploring the limits of adaptive intelligence. You'll design and implement novel architectures, training methods, and inference strategies to redefine what efficient AI can do. You'll operate at the intersection of research and engineering - translating scientific ideas into working systems, publishing where it drives the field forward, and deploying where it changes what's possible. While San Francisco and Boston are preferred, we are open to other locations in the United States. This Role Is For You If: - Work fluently in Python and frameworks such as PyTorch, JAX, or TensorFlow -

Account Executive San Francisco, United States, Boston, Remote About Liquid AI Spun out of MIT CSAIL, we build general-purpose AI systems that run efficiently across deployment targets, from data center accelerators to on-device hardware, ensuring low latency, minimal memory usage, privacy, and reliability. We partner with enterprises across consumer electronics, automotive, life sciences, and financial services. We are scaling rapidly and need exceptional people to help us get there. The Opportunity We have early enterprise traction and a product that solves real problems for technical buyers. What we don't have yet is a repeatable commercial engine. This is one of our first sales hires, and you will own the full sales cycle: prospecting through close, selling Liquid Foundation Models to technical leaders at enterprises across consumer electronics, automotive, life sciences, and financial services. You'll work directly with our founders and GTM leadership to shape pricing, packaging, and deal strategy while building the playbook the team scales on. What We're Looking For We need someone who: - Is obsessed with selling: Not management, not BD, not player-coach. We need someone energized by running deals, with meaningful revenue closed, and the drive to keep doing it, where every deal matters. - Knows the AI landscape: You've recently sold AI/ML infrastructure, developer tools, or platform products. You understand how technical buyers evaluate model performance, latency, and deployment tradeoffs. This context is non-negotiable at our stage. - Has deep empathy: We value sellers who build trust through a genuine understanding of prospects, their business,

Product Marketing Manager San Francisco, United States, New York About Liquid AI Spun out of MIT CSAIL, we build general-purpose AI systems that run efficiently across deployment targets, from data center accelerators to on-device hardware, ensuring low latency, minimal memory usage, privacy, and reliability. We partner with enterprises across consumer electronics, automotive, life sciences, and financial services. We are scaling rapidly and need exceptional people to help us get there. The Opportunity You will be our first product marketing hire, reporting to the VP of Marketing at the intersection of product, communications, and go-to-market. Your job is to ensure that what we build lands with the right audiences and is supported by the infrastructure to do it repeatedly. This is a high-ownership role for a strategic marketer who can deeply understand Liquid's capabilities and the needs of our enterprise buyers and technical users - and is also motivated by Liquid's story. You must thrive in ambiguity and are energized by standing up a function from scratch. No playbook required. What We're Looking For We need someone who is a: - Builder: You use modern tools and AI, including Claude Code, for content creation, campaign work, and rapid prototyping; you're comfortable spinning up a demo or proof-of-concept when it serves a launch or sales moment, and you can teach your team to do the same - Translator: You move between deeply technical source material and clear, credible market messaging. You know when an answer from engineering needs more clarity before it

Member of Recruiting Staff - Technical Recruiter San Francisco, United States About Liquid AI Spun out of MIT CSAIL, we build general-purpose AI systems that run efficiently across deployment targets, from data center accelerators to on-device hardware, ensuring low latency, minimal memory usage, privacy, and reliability. We partner with enterprises across consumer electronics, automotive, life sciences, and financial services. We are scaling rapidly and need exceptional people to help us get there. The Opportunity Liquid AI is hiring fast across the business, and our high-output recruiting team is how we win the talent that defines us. This is a full-cycle role in San Francisco, owning hiring across the full spectrum: engineering and research, product, solutions architecture, GTM, and G&A. Recruiting here is a highly ambiguous, build-from-scratch environment. We are hiring for most of these roles for the first time, so you will define brand-new roles, build the rubrics, coach stakeholders, and bring in exceptional people. You will run your searches with high agency and minimal supervision, with a manager who will still mentor you. What We're Looking For We need someone who: - Operates as a talent partner, not just a recruiter: You measure yourself by what is best for the business, not seats filled. - Builds in ambiguity: You are energized by undefined problems and create structure where there is none. - Thinks strategically and proactively: You read the data, anticipate where a search will stall, and unblock it before it becomes a problem, rather than reacting after the

Solutions Architect San Francisco, United States, Boston About Liquid AI Spun out of MIT CSAIL, we build general-purpose AI systems that run efficiently across deployment targets, from data center accelerators to on-device hardware, ensuring low latency, minimal memory usage, privacy, and reliability. We partner with enterprises across consumer electronics, automotive, life sciences, and financial services. We are scaling rapidly and need exceptional people to help us get there. The Opportunity Liquid AI is building a solutions architecture function from scratch. You will be one of the first SAs, working directly with the Head of Solutions Architecture and across the go-to-market org to own customer engagements end-to-end. Our models are purpose-built for environments where memory, latency, and power are binding constraints - edge devices, mobile, embedded systems, and on-prem infrastructure where frontier models simply cannot run. You will work at this boundary every day. Customers range from AI-native companies to enterprise organizations exploring AI for the first time. Your job is to bridge the gap between what our models can do and what customers believe is possible, then deliver on that promise from technical validation through go-live. What We're Looking For We need someone who: - Technical builder : You can download a model, build a demo, and present it to a customer. You are as comfortable in a Jupyter notebook as you are in a boardroom. - Creative problem solver : You see opportunities where customers see limitations. You can take a small, efficient model and show an enterprise why

Member of Technical Staff - Post Training, Applied (Vision) San Francisco, United States, Boston, Remote About Liquid AI Spun out of MIT CSAIL, we build general-purpose AI systems that run efficiently across deployment targets, from data center accelerators to on-device hardware, ensuring low latency, minimal memory usage, privacy, and reliability. We partner with enterprises across consumer electronics, automotive, life sciences, and financial services. We are scaling rapidly and need exceptional people to help us get there. The Opportunity This is a rare chance to sit at the intersection of frontier vision-language models and real-world deployment. You'll own applied post-training work for VLMs end-to-end for some of the world's largest enterprises, while still contributing directly to Liquid's core multimodal model development. Unlike most roles that force a trade-off between customer impact and foundational work, this role gives you both: deep ownership over how vision-language models are adapted, evaluated, and shipped, and a direct line into the evolution of Liquid's multimodal post-training stack. If you care about visual understanding, data quality, evaluation, and making VLMs actually work in production, this is a chance to shape how applied multimodal AI is done at a foundation model company. What We're Looking For We need someone who: - Takes ownership: Owns VLM post-training projects end-to-end, from customer requirements through delivery and evaluation. - Thinks end-to-end: Can reason across visual data curation, training, alignment, and evaluation as a single system. - Is pragmatic: Optimizes for model quality and customer outcomes over publications or theory. - Communicates

Member of Technical Staff - Post Training, Applied (Audio) San Francisco, United States, Boston, Remote About Liquid AI Spun out of MIT CSAIL, we build general-purpose AI systems that run efficiently across deployment targets, from data center accelerators to on-device hardware, ensuring low latency, minimal memory usage, privacy, and reliability. We partner with enterprises across consumer electronics, automotive, life sciences, and financial services. We are scaling rapidly and need exceptional people to help us get there. The Opportunity LFM2.5-Audio is Liquid's end-to-end multimodal speech and text language model. At 1.5B parameters, it handles speech-to-speech conversation, ASR, and TTS without requiring separate components, making it uniquely suited for real-time, on-device deployment. We're now bringing this model to enterprise customers. The core challenge: teaching audio models to understand user intents and translate them into structured tool calls. Think voice-driven function calling, where a spoken request triggers the right API, extracts the right parameters, and confirms back to the user in natural speech. This role sits at the intersection of frontier audio models and real-world deployment. You'll own the applied post-training work that adapts LFM2.5-Audio for customer use cases end-to-end, from data generation through delivery. Unlike most roles that force a trade-off between customer impact and foundational work, this one gives you both: deep ownership over how audio models are adapted, evaluated, and shipped, and a direct line into the evolution of Liquid's post-training and audio stacks. If you care about data quality, evaluation, and making models actually work in production, this is

Member of Technical Staff - ML Engineer / Scientist (JP Localization) Tokyo, Japan Work With Us At Liquid, we're not just building AI models-we're redefining the architecture of intelligence itself. Spun out of MIT, our mission is to build efficient AI systems at every scale. Our Liquid Foundation Models (LFMs) operate where others can't: on-device, at the edge, under real-time constraints. We're not iterating on old ideas-we're architecting what comes next. We believe great talent powers great technology. The Liquid team is a community of world-class engineers, researchers, and builders creating the next generation of AI. Whether you're helping shape model architectures, scaling our dev platforms, or enabling enterprise deployments-your work will directly shape the frontier of intelligent systems. This Role Is For You If: - You like building LLM pipelines and agents for diverse use cases, and enjoy catching and fixing edge cases where LLMs may fail - You're a native Japanese speaker and want to further improve LLM capabilities in Japanese - You're motivated by the challenge of adapting foundation models to new languages, cultures, and enterprise workflows Desired Experience: - Deep understanding of the Japanese model evaluation landscape and familiarity with Japanese pre-training data sources - Experience using modeling and inference tools such as Huggingface inference, vLLM, and cloud APIs What You'll Actually Do: - Identify, collect, and curate diverse high-quality Japanese text, audio, and multimodal datasets - Design methods to synthetically generate or augment Japanese training data when needed - Ensure datasets meet enterprise-grade quality, coverage,

Member of Technical Staff - Post Training, Applied San Francisco, United States, Boston, Remote About Liquid AI Spun out of MIT CSAIL, we build general-purpose AI systems that run efficiently across deployment targets, from data center accelerators to on-device hardware, ensuring low latency, minimal memory usage, privacy, and reliability. We partner with enterprises across consumer electronics, automotive, life sciences, and financial services. We are scaling rapidly and need exceptional people to help us get there. The Opportunity This is a rare chance to own applied post-training work end-to-end for text workloads, adapting Liquid Foundation Models for some of the world's largest enterprise customers. You will act as the technical bridge between customer requirements and model delivery. You will lead engagements from scoping through evaluation, with full ownership over how text models are adapted and shipped. Between engagements, you will build reusable applied workflows and tooling that accelerate future delivery. If you care about data quality, evaluation design, and making language models actually work in production for real customers, this is the role. What We're Looking For We need someone who: - Takes ownership: Owns customer post-training projects end-to-end, from requirements through delivery and evaluation. - Thinks end-to-end: Can reason across data generation, instruction tuning, alignment, and evaluation as a single system. - Is pragmatic: Optimizes for model quality and customer outcomes over publications or theory. - Communicates clearly: Can translate between customer needs and internal technical teams, and push back when needed. The Work - Act as the technical owner

Member of Technical Staff - Distributed Training Engineer San Francisco, United States, Boston, Remote About Liquid AI Spun out of MIT CSAIL, we build general-purpose AI systems that run efficiently across deployment targets, from data center accelerators to on-device hardware, ensuring low latency, minimal memory usage, privacy, and reliability. We partner with enterprises across consumer electronics, automotive, life sciences, and financial services. We are scaling rapidly and need exceptional people to help us get there. The Opportunity Our Training Infrastructure team is building the distributed systems that power our next-generation Liquid Foundation Models. As we scale, we need to design, implement, and optimize the infrastructure that enables large-scale training. This is a high-ownership training systems role focused on runtime/performance/reliability (not a general platform/SRE role). You'll work on a small team with fast feedback loops, building critical systems from the ground up rather than inheriting mature infrastructure. While San Francisco and Boston are preferred, we are open to other locations. What We're Looking For We need someone who: - Loves distributed systems complexity: Our team builds systems that keeps long training runs stable, debugs training failures across GPU clusters, and improves performance. - Wants to build: We need builders who find satisfaction in robust, fast, reliable infrastructure. - Thrives in ambiguity: Our systems support model architectures that are still evolving. We make decisions with incomplete information and iterate quickly. - Aligns with team priorities and delivers: Our best engineers align with team priorities while pushing back with data when they see

Sr. Product Manager, AI Liquid Cooling & Rack-Scale Solutions US - HQ (US001) | Country United States | State California | City San Jose Job Req ID: 26994 About Supermicro: Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide. We are the #5 fastest growing company among the Silicon Valley Top 50 technology firms. Our unprecedented global expansion has provided us with the opportunity to offer a large number of new positions to the technology community. We seek talented, passionate, and committed engineers, technologists, and business leaders to join us. Job Summary: Join the global leader in AI/HPC Infrastructure. As a Senior Product Manager at Supermicro, you will own the end-to-end roadmap for our high-density, liquid-cooled rack solutions. You will drive "First-to-Market" innovation, transforming cutting-edge NVIDIA, Intel, and AMD silicon into scalable, Direct Liquid Cooling (DLC) systems that power the world's largest AI clusters. Essential Duties and Responsibilities: Includes the following essential duties and responsibilities (other duties may also be assigned): Architect the Rack-Scale Roadmap (L10/L11): Define specifications for 100kW+ power delivery and Direct Liquid Cooling (DLC) manifolds, ensuring Supermicro's integrated racks support the next generation of 1200W+ GPUs. Accelerate "First-to-Market" Launches: Partner with silicon giants to align our thermal and mechanical designs with their release cycles, ensuring we ship production-ready clus

Member of Technical Staff - Edge Inference Engineer San Francisco, United States, Boston, Remote About Liquid AI Spun out of MIT CSAIL, we build general-purpose AI systems that run efficiently across deployment targets, from data center accelerators to on-device hardware, ensuring low latency, minimal memory usage, privacy, and reliability. We partner with enterprises across consumer electronics, automotive, life sciences, and financial services. We are scaling rapidly and need exceptional people to help us get there. The Opportunity Our Edge Inference team compiles Liquid Foundation Models into optimized machine code that runs on resource-constrained devices: phones, laptops, Raspberry Pis, and watches. We are core contributors to llama.cpp and build the infrastructure that makes efficient on-device AI possible. You will work directly with the technical lead on problems that require deep understanding of both ML architectures and hardware constraints. This is high-ownership work where your code ships to production and directly impacts model performance on real devices. While San Francisco and Boston are preferred, we are open to other locations. What We're Looking For We need someone who: - Works autonomously: Given a target device and performance goal, you figure out how to get there without hand-holding. You diagnose bottlenecks, prototype solutions, and iterate until you hit the target. - Thinks at the hardware level: You understand cache hierarchies, memory access patterns, and instruction-level optimization. You can reason about why code is slow before reaching for a profiler. - Bridges ML and systems: You understand how neural networks work mathematically (matrix operations,

HPC & AI - Power & Cooling Product Manager Spring, Texas, United States of America Embrace the opportunity to become a HPC & AI Product Manager and lead the strategy, development, and management of advanced liquid cooling and power distribution solutions for high-performance computing environments. Drive innovation, collaborate with cross-functional teams, and shape the future of HPC & AI technology at Hewlett Packard Enterprise.

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!

Sr. Liquidity Relationship Manager – (ESCROW) United States Sr. Liquidity Relationship Manager - (ESCROW)

Sr. Liquidity Relationship Manager – (DACA) United States Sr. Liquidity Relationship Manager - (DACA)

Critical Facilities Technician (Liquid Cooling) Dacula, GA, United States The Critical Facilities Technician (Liquid Cooling) is responsible for providing onsite guidance, training, and technical support to data center technicians. Data Center Lead specializing in building and supervision of custom racks with chilled water solutions manages the design, integration, and deployment of high-density infrastructure (often 30kW-100kW+ per rack) designed for AI and HPC workloads. They bridge the gap between IT hardware requirements and facility engineering, specializing in Direct Liquid Cooling (DLC), Rear Door Heat Exchangers (RDHx), and Coolant Distribution Units (CDUs) to improve PUE and energy efficiency.

Senior Manager, AI Lead - Treasury & Cash Management Agents New York, New York; Chicago, Illinois Aon is in the business of better decisions At Aon, we shape decisions for the better to protect and enrich the lives of people around the world. As an organization, we are united through trust as one inclusive team and we are passionate about helping our colleagues and clients succeed. What the day will look like Design and deploy AI agents that: Monitor cash positions, liquidity forecasts, and bank data feeds Automate variance explanations and exception escalation Support scenario modeling for liquidity and funding decisions Build agentic workflows that interact with Kyriba, bank portals, Workday, and the Finance Data Platform Ensure all cash‑related agents adhere to: Data lineage, completeness, and reconciliation standards Segregation of duties and access controls Partner with Treasury, Accounting, and Risk to embed controls directly into agent execution Define reusable agent patterns for: Bank reconciliation Payment diagnostics Liquidity planning support Contribute to enterprise standards for agent security, monitoring, and lifecycle management How this opportunity is different This is your unique opportunity to own the development of treasury‑focused agents and intelligent bots that automate free cash flow forecasting, liquidity forecasting, bank connectivity monitoring, cash positioning, and exception handling-while maintaining strong data governance, controls, and auditability. Skills and experience that will lead to success 8+ years of experience in Treasury, Cash Management, or Finance Technology Strong understanding of global cash operations, banking connectivity, and liquidity processes Experience with treasury platforms (e.g., Kyriba or

DCP-Liquid Cooling System Architect (Global)-Shenzhen China Responsible for the overall design of the liquid cooling platform, including the structural design of CDUs, cold plates, manifolds, and racks;​ Conduct simulation analysis and optimization of liquid cooling systems to enhance system efficiency and stability;​ Oversee testing processes for liquid cooling products to ensure compliance with technical specifications and industry standards;​ Collaborate with the team on the integration and commissioning of liquid cooling systems across various application scenarios;

Liquidity Relationship Manager – (Escrow) United States Liquidity Relationship Manager - (Escrow)

Liquidity Relationship Manager – (DACA) United States Liquidity Relationship Manager - (DACA)

Treasury Liquidity Controller - Associate Bengaluru, Karnataka, India Build your career in liquidity while working in the world's most innovative bank which values creativity and excellence.

Risk Controlling Manager, Liquidity Risk (ILAAP) Madrid Risk Controlling Manager, Liquidity Risk (ILAAP) About the opportunity We are seeking a Manager Risk Controlling to help us further develop and strengthen our Risk Controlling function with a focus on the Internal Liquidity Adequacy Assessment Process (ILAAP) and overall Liquidity Risk Management. As part of the Risk Controlling team, you will lead the development, implementation, and analysis of models for liquidity risk controlling, covering both regulatory requirements (Pillar I) and internal methodologies. You will ensure that N26 maintains a robust liquidity position through advanced modelling, stress testing, and expert methodological guidance. At N26, we are redefining banking through technology and innovation. As a Risk Controlling Manager with a focus on ILAAP and liquidity risk, you will have the opportunity to shape the future of risk management in a fast-paced, forward-thinking environment. Join us and be part of a team that values collaboration, innovation, and excellence. In this role, you will: - Lead the design, maintenance, and continuous improvement of the ILAAP framework, ensuring it accurately reflects the firm's liquidity adequacy and risk appetite. - Develop and enhance advanced methodologies for measuring liquidity risk, including internal liquidity maturity ladders, survival period analysis, and intraday liquidity metrics. - Spearhead the design and calibration of comprehensive liquidity stress scenarios, identifying potential vulnerabilities and challenging qualitative assumptions. - Ensure full compliance with relevant European and German regulatory requirements, such as MaRisk and EBA Guidelines on ILAAP, while overseeing regulatory liquidity reporting standards. - Establish and maintain

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.