Machine Learning Engineer — AI Architecture Research

Remote, Worldwide

About the Role

We’re looking for a Machine Learning Engineer focused on AI architecture research to help design, prototype, and validate next-generation model architectures. You’ll work at the intersection of research and production — turning new ideas into scalable, real-world systems.

This role is ideal for someone who enjoys questioning architectural assumptions , experimenting with novel model designs, and pushing beyond standard Transformer-style approaches.

What You’ll Work On

Research and develop new neural network architectures (e.g. alternatives or extensions to Transformers, recurrent / hybrid models, long-context systems)

Design and run architecture-level experiments (scaling laws, memory mechanisms, compute trade-offs)

Prototype models end-to-end — from research code to training-ready implementations

Collaborate with inference and systems engineers to ensure architectures are deployable and efficient

Analyze model behavior, failure modes, and inductive biases

Read, reproduce, and extend cutting-edge research papers

Contribute to internal research notes, benchmarks, and open-source efforts (where applicable)

What We’re Looking For

Strong background in...