AI Research Engineer

The role

A Research Engineer will work at the intersection of machine learning models, distributed systems, and on-chain coordination. You will help build an AI runtime by exploring how foundation models and intelligent systems can be deployed, trained, and served.

What you will do

• Design and implement protocols for AI training and inference
• Build scalable systems to support AI workloads across heterogeneous networks and devices
• Contribute to architectural decisions, performance optimization, and reliability engineering
• Collaborate with researchers and system engineers to translate novel ideas into real-world systems
• Stay current with the latest advancements in AI, distributed infrastructure, and cryptographic mechanisms

Required qualifications

• Strong programming skills in Python, Rust, or Go
• Experience with AI/ML model training and serving pipelines (e.g. PyTorch, JAX, TensorFlow)
• Solid foundation in distributed systems, networking, or applied cryptography
• Familiarity with concepts like federated learning, secure aggregation, or verifiable intelligence

Nice to have

• experience working with blockchain protocols
• zkML
• decentralized networks

About the company

Gradient is building the world’s first fully AI runtime, a sovereign, peer-powered infrastructure. The company recently completed a $10M seed funding round led by Pantera Capital and Multicoin Capital.