ML Engineer

📋 Job Overview

Tilde Research is a moonshot AI lab advancing mechanistic interpretability, new architectures, and pretraining science. We build foundational understanding of models to advance the frontier of intelligence.

🏢 About Tilde Research

Tilde Research is a moonshot AI lab advancing mechanistic interpretability, new architectures, and pretraining science. We build foundational understanding of models to advance the frontier of intelligence.

🎯 The Role

As a ML Engineer, you’ll build and operate the infrastructure that makes cutting-edge machine learning research possible. At Tilde, we believe meaningful progress in AI requires not just novel ideas, but the ability to rapidly test, scale, and iterate on them—and that demands exceptional engineering.

✅ Key Responsibilities

• Optimize inference and training throughput for novel model architectures
• Build and maintain high-performance distributed training infrastructure
• Collaborate with researchers to translate insights into measurable improvements in model performance and understanding

📌 Required Qualifications

• Have experience in deep learning or related research areas
• Have demonstrated exceptional capability in working on ML infrastructure. This can include:
• Strong open source contributions
• Thoughtful technical blog posts/work logs
• Previous experience working with large-scale pre/post-training infrastructure
• Deep familiarity with Pytorch or Jax, basic familiarity Triton/Tilelang/TK etc.
• Communicate clearly and effectively, both verbally and in writing
• Can design and orchestrate end-to-end ML pipelines
• Are able to learn quickly