Liquid AI

Research Engineer

• Join a small, high-context team exploring the limits of adaptive intelligence
• Design and implement novel architectures, training methods, and inference strategies to redefine what efficient AI can do
• Operate at the intersection of research and engineering — translating scientific ideas into working systems

Machine Learning Engineer

• Build and evolve Liquid’s internal ML-to-developer platform layer
• Translate internal learnings from research and applied ML into scalable product workflows
• Develop systems that enable developers to customize and deploy models without needing ML expertise
• Collaborate closely with product engineers to define APIs, UX, and developer experiences
• Identify opportunities to automate or simplify what’s currently done manually in applied ML projects
• Shape the foundation that powers future ML-driven products and applications

Member of Technical Staff – ML Engineer, Product

Full-stack Engineer

• Build end-to-end AI products and APIs powered by Liquid’s models and platform
• Identify high-impact use cases where smaller, faster models outperform heavier alternatives
• Research specific markets (e.g. developer tools, agent frameworks, automation APIs) and design tailored solutions
• Collaborate with Product ML and core teams to bundle, deploy, and position model-based products
• Turn insights from users into scalable product directions
• Prototype, test, and launch offerings that demonstrate the power of Liquid’s tech in real-world contexts

Product Engineer

Chief Technology Officer

• Partner with the CTO and technical teams to craft and publish content across LinkedIn, X/Twitter, and blogs
• Translate technical breakthroughs into clear, accurate, and compelling narratives
• Coordinate with engineers and researchers to source insights, results, and visuals.
• Manage social media calendars and posting cadence for the CTO and technical team
• Design or commission visual assets (plots, diagrams, short clips) that strengthen storytelling
• Track engagement metrics and iterate communication formats for maximum clarity and reach
• Collaborate with marketing where needed, while remaining embedded within the CTO’s office

Technical Staff Member – Public Communications Associate

Frontend Engineer

• Architect and build front-end systems for internal and external Liquid products
• Create intuitive interfaces that make advanced ML systems accessible and actionable
• Collaborate with backend, product, and research teams to design seamless data flows
• Develop high-performance, scalable UIs that run smoothly across browsers and devices
• Contribute to the evolution of our design system and front-end best practices
• Help define the technical standards and workflows for Liquid’s front-end development culture

Member of Technical Staff – Frontend Engineer

Product Designer

• Lead product design for a new generation of AI customization and deployment tools
• Design intuitive flows that make it easy for users to describe tasks, adapt models, and visualize results
• Work closely with Product and ML teams to shape experiences that feel like building with AI rather than configuring systems
• Develop interaction patterns and visual frameworks for model iteration, feedback, and performance understanding
• Establish design systems and principles that scale across multiple AI-driven products

Technical Staff Member – Product Designer

Technical Recruiter

• Coach and guide hiring managers on market realities, available talent, and smart tradeoffs.
• Discern complex roles to translate technical nuance into compelling, accurate storytelling.
• Build comprehensive, differentiated job descriptions and outreach campaigns that cut through noise.
• Deliver precise, high-quality candidate profiles that go beyond skillsets—capturing motivation, mindset, and cultural fit.
• Guide high-profile candidates through a process that feels curated, considered, and distinctly Liquid.
• Partner with Talent Ops to help build a scalable, data-informed hiring engine that strengthens over time.
• Help shape the standards for what “great” looks like across every part of Liquid’s hiring journey.

• Architect and implement full-stack solutions for internal platforms and customer-facing products
• Design and scale backend services that enable robust ML model deployment
• Build deployment infrastructure that runs seamlessly across cloud and on-premise environments
• Develop interfaces that make complex ML systems accessible and usable
• Establish workflows that accelerate ML research-to-deployment cycles
• Collaborate closely with Product and ML teams to iterate quickly and effectively
• Contribute to shaping model architectures, scaling dev platforms, and enterprise deployments