Gradient (gradient.ai) Logo

Gradient (gradient.ai)

Decentralized AI Researcher

Posted Yesterday
Remote
Hiring Remotely in USA
10-10
Mid level
Remote
Hiring Remotely in USA
10-10
Mid level
Research decentralized learning, design incentive mechanisms for community-driven AI, and prototype systems to enhance AI infrastructure.
The summary above was generated by AI

Gradient is building the world’s first fully decentralized AI runtime—a sovereign, peer-powered infrastructure where intelligence is hosted, served, and owned by the people. The age of Centralized Intelligence is ending. What comes next is open, agentic, and alive at the edge.

We’ve recently completed our $10M seed funding round, led by Pantera Capital and Multicoin Capital, with participation from HSG (formerly Sequoia Capital China) and other distinguished partners. This milestone is further supported by leading angel investors and advisors from spaces across AI, crypto, and beyond.

About the Role

Gradient Network is looking for a Researcher with a strong foundation in machine learning, systems, or cryptography to help reimagine how intelligence is created and shared in a decentralized world.

You’ll investigate the core scientific challenges of decentralized AI — such as distributed training, model integrity, incentive design, and privacy-preserving intelligence — and work alongside engineers to bring these breakthroughs into production.

This role is ideal for someone who thrives in ambiguity, prototypes fast, and wants their work to shape the trajectory of next-gen AI infrastructure.

Responsibilities

• Conduct original research on decentralized learning, distributed inference, and trustless collaboration in AI systems

• Contribute to the design of incentive mechanisms that support open and community-driven AI networks

• Prototype experimental systems and communicate findings internally and externally

• Translate theoretical insights into practical designs with engineering collaborators

• Engage with the global research community in decentralized AI, ML systems, and applied cryptography

Requirements

• Background in computer science, machine learning, applied mathematics, or a related field

• Demonstrated research experience in distributed ML, secure computation, federated learning, or incentive systems

• Ability to write clear technical documentation and communicate complex ideas effectively

• Bonus: experience with decentralized protocols, zero-knowledge proof systems, or system-level AI optimization

If you’re ready to challenge the status quo and be part of a transformative journey, we invite you to apply. Together, let’s build a brighter, more inclusive future powered by intelligence.

We’re excited about the path we’re forging — and the talented minds who will help shape it. If you’re passionate about building a decentralized, community-driven future for AI and eager to make a lasting impact, we’d love to hear from you.

📩 For recruitment-related inquiries only:

✈️ Telegram: @GradientHR

📧 Email: [email protected]

🔗Gradient Official:

Website | X | Discord

Top Skills

Cryptography
Decentralized Protocols
Federated Learning
Machine Learning
Secure Computation
Zero-Knowledge Proof Systems

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