Research Engineer: Shaping Decentralized AI Infrastructure

2 weeks ago

Singapore beBeeDecentralized Full time $90,000 - $120,000
Job Description

We are seeking a Research Engineer to join our team and contribute to the development of decentralized AI infrastructure. This is an exciting opportunity to work at the intersection of advanced machine learning models, distributed systems, and on-chain coordination.

You will be part of a team that explores how foundation models and intelligent systems can be deployed, trained, and served in decentralized environments while maintaining performance, privacy, and security.

About the Role

This position involves designing and implementing protocols for decentralized AI training and inference, building scalable systems to support AI workloads across heterogeneous networks and devices, and contributing to architectural decisions, performance optimization, and reliability engineering.

Responsibilities
  1. Design and implement protocols for decentralized AI training and inference (e.g., federated learning, distributed fine-tuning, secure model serving)
  2. Build scalable systems to support AI workloads across heterogeneous networks and devices
  3. Contribute to architectural decisions, performance optimization, and reliability engineering
  4. Collaborate with researchers and system engineers to translate novel ideas into real-world systems
  5. Stay current with the latest advancements in AI, distributed infrastructure, and cryptographic mechanisms
Requirements

To be successful in this role, you should have strong programming skills in Python, Rust, or Go, experience with AI/ML model training and serving pipelines (e.g., PyTorch, JAX, TensorFlow), and a solid foundation in distributed systems, networking, or applied cryptography.

Familiarity with concepts like federated learning, secure aggregation, or verifiable intelligence is also desirable.

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