AI researcher Mid level

Full time
Remote
Compensation is not specified
Role
User Researcher
Work Experience
More than 3 years
Description

Rivalz Network

Rivalz Network’s infrastructure abstracts the complexities of connecting AI services and agents to various real-world resources. By orchestrating resource-backed agents, providing a decentralized data layer for secure processing and retrieval, enabling verifiable requests through an AI oracle, mapping both identity and resources seamlessly, and offering an AI x Web3 platform for fast application publishing and monetization, Rivalz empowers teams to bridge digital and physical ecosystems. Our ultimate goal is to unlock the full potential of an agent-centric future, enabling developers and no-code builders alike to harness AI-driven solutions with ease.

Working at Rivalz

We embrace a flexible, globally distributed environment that allows our team members to work from where they’re most comfortable—whether that’s at home or on the move. We leverage virtual collaboration and remote-friendly policies, enabling you to balance your personal life, family commitments, and professional goals. Wherever you are, you’ll be an integral part of our team which is shaping the future of AI, blockchain, and decentralized infrastructures. Join Rivalz’s forward-thinking AI Research team to push machine learning and agent-centric design, delivering impactful AI-Web3 solutions that empower innovators worldwide.


About the Role: AI Researcher (Mid-Level)

As a Mid-Level AI Researcher at Rivalz, you will play a key role in advancing our AI capabilities for seamless integration with real-world resources. You’ll spearhead novel research initiatives, publish findings, and architect solutions that drive our decentralized, agent-centric vision. If you’re eager to explore cutting-edge machine learning, deep learning, and blockchain, while seeing your work rapidly deployed in production, this is the perfect opportunity for you.
 

Key Responsibilities

  • Innovate & Research: Conduct advanced AI research in ML and DL to address complex challenges.
  • Design & Prototype: Architect and evaluate novel AI models for decentralized infrastructures.
  • Collaboration & Deployment: Work with cross-functional teams to develop production-ready AI solutions.
  • Open-Source & Community: Maintain a strong GitHub presence and engage with the broader AI/Web3 community.
  • Thought Leadership: Stay current with emerging AI trends to continually refine Rivalz’s infrastructure.
  • Real-World Integration: Expand AI’s reach into both digital and physical ecosystems for seamless interoperability.

Qualifications

  • Educational Background: Bachelor’s in Computer Science or related field (Master’s/PhD preferred).
  • Technical Expertise: Proficiency in Python, ML frameworks, and experience with LLMs/generative AI.
  • Blockchain Familiarity: Exposure to decentralized systems and their intersection with AI is a bonus.
  • Research & Publication: Track record in AI research, open-source contributions, or academic publications.
  • Collaboration & Communication: Strong interpersonal skills for distributed team coordination.
  • Adaptability & Problem-Solving: Ability to navigate evolving technologies with iterative, data-driven approaches.
  • Join us at Rivalz and be part of a pioneering team that’s redefining how AI agents interact with the world. Contribute your expertise, collaborate across disciplines, and help shape the agent-centric future.

How to Apply:

Submit your cover letter and resume at humaira@rivalz.ai

Skills Required
Avatar
Rivalz
Website
rivalz.ai
Company size
100
Location
Virgin Islands (British)
Description
The Light Bulb, Cars, Personal Computers, The Blockchain - great inventions are only recognized as such once they’ve been adopted and make a real World Impact. In their early days, revolutionary technologies come with layers of obstacles and hurdles that suppress their true potential. It often takes years - or decades - to abstract these barriers, gather the necessary conditions and build the infrastructure that powers these technologies into mass adoption, allowing them to have a real world impact. AI is no different, one of the largest obstacles AI agents face is limited access to real-world resources. These can include digital assets, human interaction and Decentralized Physical Infrastructure Networks (DePIN). Unlocking these resources and solving fragmentation is the path to unlocking the agentic future. Our solution is to build the World Abstraction Layer - a powerful system made of 5 key modules; Data, Connectivity, Identity, Resource & Application. When carefully orchestrat

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