ML Research Infrastructure Engineer

Tilde Research; San Francisco (CA); On-site; USD 180,000 - 230,000; Full time

Job summary

Tilde Research is a moonshot AI lab focused on mechanistic interpretability, new architectures, and pretraining science. As an ML Engineer, you will build and operate the infrastructure enabling cutting-edge research in training and evaluating large models.

You will optimize inference and training throughput, scale distributed pipelines, and collaborate with researchers to translate insights into measurable improvements in model performance and understanding.

Qualifications

• Experience in deep learning or related research areas.
• Proven capability in ML infrastructure and scalable pipelines.
• Experience with large-scale pre/post-training infrastructure.

Responsibilities

• Build and operate the infrastructure for training and evaluating large models.
• Optimize inference and training throughput; build high-performance distributed training systems.
• Collaborate with researchers to translate insights into measurable improvements in model performance and interpretability.

Skills

Deep learning

ML infrastructure

Open source

Blogging / docs

Pre/post-training infra

PyTorch

JAX

Communication

End-to-end ML pipelines

Tools

Triton

TileLang

TK

Job description

Tilde Research is a moonshot AI lab focused on mechanistic interpretability, new architectures, and pretraining science. As an ML Engineer, you will build and operate the infrastructure enabling cutting-edge research in training and evaluating large models.

You will optimize inference and training throughput, scale distributed pipelines, and collaborate with researchers to translate insights into measurable improvements in model performance and understanding.