What You'll Actually Do

• Own the end-to-end experimental process: from hypothesis generation to results analysis to iteration.
• Design and run structured experiments to evaluate model performance across customer-specific metrics.
• Develop tooling and workflows that let the team rapidly test hypotheses and scale promising directions.
• Work closely with research, infra, and customer teams to prioritize experimental goals and interpret results.
• Translate customer needs into actionable model improvements via principled experimentation.
• Contribute to building a culture of fast, reproducible, and product-aligned model research.

What You'll Gain

• Lead high-leverage experimentation at the intersection of foundational model research and real-world customer impact.
• Hands-on, research-driven role where you'll own the end-to-end lifecycle of designing, running, and analyzing experiments that push forward our hybrid model systems.
• Your work will directly shape how our models perform in customer contexts, with an emphasis on measurable impact over theoretical gains.
• You’ll collaborate closely with infra, modeling, and customer teams to ensure that experimental insights are actionable and aligned with product goals.

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.