AI Researcher
Full time
Remote
Compensation is not specified
Role
User Researcher
Work Experience
More than 3 years
Description
Job Description: AI Researcher (Mid-Level)
About the Role:
We are looking for a talented and innovative AI Researcher (Mid-Level) to join our cutting-edge team. This role is perfect for someone passionate about pushing the boundaries of artificial intelligence to create impactful solutions in a decentralized, agent-centric future. You will work collaboratively across teams to develop groundbreaking technologies that bridge AI with real-world resource integration.
Key Responsibilities:
- Maintain a strong presence in the open-source community, particularly on GitHub.
- Leverage your expertise (and potentially advanced degrees, such as a Master’s or PhD) to drive innovation in AI research.
- Tackle complex AI challenges and develop solutions that enhance AI capabilities and interoperability.
- Conduct rigorous research to improve AI models and systems for scalability and efficiency.
- Work closely with engineering and product teams to translate cutting-edge research into deployable solutions.
- Handle large, complex datasets to train, test, and validate machine learning models.
- Stay up-to-date with emerging ML frameworks and Web3 interoperability technologies.
- Strive to expand AI capabilities for real-world resource integration in both digital and physical ecosystems.
- Contribute to Rivalz Network’s mission of building the World Abstraction Layer for an AI-driven future.
Qualifications:
- Bachelor’s degree in Computer Science, AI, or a related field (Master’s or PhD preferred).
- Proven track record in AI research with hands-on experience in machine learning, deep learning, and/or Web3 technologies.
- Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch).
- Familiarity with blockchain technology, decentralized systems, and their intersection with AI.
How to Apply:
Submit your cover letter and resume at humaira@rivalz.ai
Skills Required
Rivalz Network
Website
rivalz.aiCompany size
100
Location
Virgin Islands (British)
Description
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 orchestrated together, these modules are the very bridge connecting AI agents and the Real World.
Lifting the curtain - that is World Abstraction.