Job Description
<h3>📋 Description</h3> •Gradient Network is building the world’s first fully decentralized AI runtime.
•We’ve recently completed our $10M seed funding round, led by Pantera Capital and Multicoin Capital.
•We’re looking for a Research Engineer who’s passionate about shaping the future of decentralized AI infrastructure.
•You’ll join a team of deep technologists exploring how foundation models and intelligent systems can be deployed, trained, and served in decentralized environments.
•Design and implement protocols for decentralized 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. <h3>🎯 Requirements</h3> •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
•Bonus: experience working with blockchain protocols, zkML, or decentralized networks