Full-Time AI researcher Mid level
Rivalz.ai is hiring a remote Full-Time AI researcher Mid level. The career level for this job opening is Experienced and is accepting Worldwide based applicants remotely. Read complete job description before applying.
Rivalz.ai
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Rivalz Network's infrastructure simplifies connecting AI services and agents to real-world resources. It orchestrates resource-backed agents, provides a decentralized data layer for secure processing, enables verifiable requests through an AI oracle, maps identities and resources, and offers an AI x Web3 platform for app publishing and monetization. Rivalz empowers teams to bridge digital and physical ecosystems. The goal is to unlock the potential of an agent-centric future, enabling developers and no-code builders to use AI-driven solutions easily.
Working at Rivalz
- Flexible, globally distributed environment allows work from anywhere.
- Virtual collaboration and remote-friendly policies.
- Be part of a team shaping the future of AI, blockchain, and decentralized infrastructures.
About the Role: AI Researcher (Mid-Level)
As a Mid-Level AI Researcher, you will advance AI capabilities for seamless integration with real-world resources.
- Spearhead novel research initiatives.
- Publish findings and architect solutions for our decentralized, agent-centric vision.
- Explore cutting-edge machine learning, deep learning, and blockchain.
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 refine Rivalz's infrastructure.
- Real-World Integration: Expand AI's reach into both digital and physical ecosystems.
Qualifications
- Bachelor's in Computer Science or related field (Master's/PhD preferred).
- Proficiency in Python, ML frameworks, and experience with LLMs/generative AI.
- Exposure to decentralized systems and their intersection with AI is a plus.
- Track record in AI research, open-source contributions, or academic publications.
- Strong interpersonal skills for distributed team coordination.
- Ability to navigate evolving technologies with iterative, data-driven approaches.