PrismML builds high-performance foundation models designed to run efficiently across a wide range of environments—from edge devices to large-scale deployments. Our work spans models from ~1B to 100B+ parameters across LLMs, diffusion models, and other modalities, with a strong focus on scalable training, efficient inference, and real-world deployment. Today, that means a 27B-class model that runs on a phone in about 4 GB, down from roughly 54 GB at full precision.
Our Bonsai family of 1-bit and ternary models is designed to dramatically improve the efficiency of modern AI systems, enabling advanced intelligence to run with significantly lower memory usage, latency, and energy consumption across cloud and edge environments.
We are seeking an experienced Technical Recruiter to lead recruiting efforts across our AI/ML engineering organization. This role will focus on hiring exceptional engineers and research engineers across several core areas, including large-scale systems, edge and consumer AI, kernels optimization, and post-training platform.
You will help build and scale the engineering organization from the ground up, owning recruiting strategy, candidate sourcing, pipeline management, and hiring operations. This role requires someone who can effectively engage highly technical candidates, communicate the company’s vision and technical direction, and partner closely with engineering leadership to execute against aggressive hiring goals.
You will lead recruiting efforts for AI/ML engineering and research roles across the organization. Core responsibilities include:
You bring strong recruiting experience and the ability to operate effectively in highly technical environments:
You have additional experience aligned with scaling technical organizations and AI-focused recruiting:
You are highly organized, proactive, and effective at building relationships with technical candidates and engineering leaders. You understand how to communicate complex technical work in a compelling way, know how to identify exceptional engineering talent, and are comfortable operating in fast-moving startup environments. You enjoy building recruiting processes from the ground up, care deeply about candidate experience, and thrive at the intersection of talent, technology, and organizational growth.