AI Lead

About the role

We are a venture-backed early-stage startup developing processors specialized for machine learning. The processor aims to provide orders or magnitudes improvement in speed and power efficiency, potentially displacing the GPU as the dominant computing platform for AI.

Responsibilities

• Deploy and run trained models on prototype hardware and digital twins, producing working demonstrations on our chips.
• Develop and adapt algorithms to train models on novel processing environments, including our prototype hardware.
• Work with hardware engineers to define and refine processor architecture based on insights learned through model training and experimentation.
• Maintain a deep curiosity about what makes AI systems work - and bring that curiosity to bear on how they run on new hardware.
• Support go-to-market strategy development

Requirements

• PhD in machine learning, representation learning, theory of computation, or equivalent industry experience working on foundation models at scale.
• Experience training models at scale - distributed training across many GPUs, working with large datasets and compute.
• Built and trained neural networks from scratch.
• Deep knowledge of the structure and internal operation of neural networks - including how and why they behave the way they do (e.g., interpretability or explainability work is a plus).
• Excitement about applying deep AI expertise to new and novel hardware environments - you don’t need prior experience with photonics or silicon, but you want to learn.
• Fluent knowledge of Python.
• Fluency in PyTorch (preferred), TensorFlow, JAX, or other industry-standard ML software libraries.