
Advancing Decentralized Artificial Intelligence Infrastructure
1 week ago
We're seeking a highly skilled Research Engineer to join our team and contribute to the development of decentralized AI infrastructure. This is an exciting opportunity for someone passionate about shaping the future of artificial intelligence and making a meaningful impact.
About the RoleThis role will involve designing and implementing protocols for decentralized AI training and inference, building scalable systems to support AI workloads across heterogeneous networks and devices, and collaborating with researchers and system engineers to translate novel ideas into real-world systems.
- Design and implement protocols for decentralized AI training and inference (e.g., federated learning, distributed fine-tuning, secure model serving)
- 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
To be successful in this role, you'll need strong programming skills in Python, Rust, or Go, experience with AI/ML model training and serving pipelines, and a solid foundation in distributed systems, networking, or applied cryptography.
- 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
If you have experience working with blockchain protocols, zkML, or decentralized networks, that's a bonus
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