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Home›Jobs›Liquid AI›Member of Technical Staff - Product Engineer
Liquid AI

About Liquid AI

Efficient AI for a smarter future

🏢 Tech👥 51-250📅 Founded 2023📍 Cambridge, Massachusetts, United States

Key Highlights

  • Headquartered in Cambridge, Massachusetts
  • 200+ employees with expertise in AI/ML
  • Specializes in Liquid Foundation Models (LFMs)
  • Focus on reducing computational overhead for AI solutions

Liquid AI, headquartered in Cambridge, Massachusetts, specializes in general-purpose artificial intelligence through its innovative Liquid Foundation Models (LFMs). These models are designed to deliver high performance while significantly reducing memory and computing resource requirements, making a...

🎁 Benefits

Employees enjoy competitive salaries, equity options, generous PTO policies, and opportunities for remote work. Liquid AI also offers a learning budge...

🌟 Culture

Liquid AI fosters a culture of innovation and efficiency, focusing on optimizing AI capabilities while minimizing resource usage. The company values c...

🌐 Website💼 LinkedIn𝕏 TwitterAll 15 jobs →
Liquid AI

Member of Technical Staff - Product Engineer

Liquid AI • San Francisco

Posted 2 months ago🏛️ On-SiteMid-LevelProduct engineer📍 San francisco
Apply Now →

Job Description

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.

While San Francisco and Boston are preferred, we are open to other locations in United States.

This Role Is For You If:

  • You can take a baseline model and turn it into impactful product

  • You’re as comfortable writing code as you are doing user research

  • You think like a product builder—who’s the user, what do they need, and how do we serve them?

  • You thrive in early-stage ambiguity, identifying where AI capability meets market demand

  • You’re driven to ship quickly, learn fast, and iterate toward traction

Desired Experience:

  • Proven experience building and shipping AI-powered applications or APIs

  • Full-stack capability—can prototype and deploy independently

  • Strong grasp of how to integrate novel models into production systems

  • Understanding of developer or enterprise user workflows

  • Experience conducting lightweight market validation or customer discovery

  • Bonus: proficiency in Canva, Figma, matplotlib, or similar tools for creating visual assets.

What You'll Actually Do:

  • 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

What You'll Gain:

  • The ability to ship AI products from concept to market with direct impact

  • A high-trust environment where experimentation is encouraged

  • Deep collaboration with ML researchers, engineers, and product strategists

  • The chance to help define how efficient AI systems reach real users and businesses

About Liquid AI

Spun out of MIT CSAIL, we’re a foundation model company headquartered in Boston. Our mission is to build capable and efficient general-purpose AI systems at every scale—from phones and vehicles to enterprise servers and embedded chips. Our models are designed to run where others stall: on CPUs, with low latency, minimal memory, and maximum reliability. We’re already partnering with global enterprises across consumer electronics, automotive, life sciences, and financial services. And we’re just getting started.

Interested in this role?

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