Future Opportunities (Research Engineering)
Thank you for your interest in Ren. While we may not have an active opening that aligns with your specific background today, we are always eager to connect with exceptional talent for future opportunities.
Company Background
We are an Intelligent Computing company operating at the forefront of Artificial General Intelligence Research and Development.
Our mission is to build the perfect tools for the Human Mind.
Ren is pioneering a new approach to building intelligent computing systems, based on an entirely new framework for Machine Learning called the Universal State Machine (USM). The USM enables a new kind of intelligent system; one that is not built on the primitives of Deep Learning, and does not come with its inherent limitations.
You can learn more about the USM with the following resources:
- [Whitepaper] Infinite Time Turing Machines and their Applications
- [Talk] To Infinity and Beyond - ITTMs, Deep Learning, and the Universal State Machine
- [Video] Introducing the Universal State Machine
Our goal is to leverage the USM to develop frontier-grade AI systems (like Open AI’s
ChatGPT or Google’s Gemini) at a fraction of the cost.
The USM does not use the same computing primitives as Deep Learning, and needs a new Kernel for executing its algorithms. We are building a team of excellent Software Engineers to design and engineer the USM Kernel.
You will be working in-person closely with the founders at the Ren office in Port City, Colombo.
The Opportunity
The Universal State Machine development is a completely novel computational architecture, it is not being pursued by any other labs or companies. This makes this assistantship the only place on earth where this specific opportunity is available.
As a Research Assistant, you will report directly to the CEO, Rukmal Weerawarana. You will work in tandem with our main Engineering team. Your primary goal is to formalize and spearhead the research of the mathematics underlying the Universal State Machine, translating our physical and computational breakthroughs into rigorous mathematical proofs. To accelerate your work, you will have full access to the suite of tools, modules, and infrastructure developed by our internal engineers.
Required Technical Capabilities
- Exceptional mathematical background with a focus on Dynamical Systems, Graph Theory, and Set Theory (specifically Transfinite Ordinals).
- A strong grasp of Deep Learning principles and the ability to rethink computing primitives to understand the USM framework.
- Good Software Engineering skills to be able to use our APIs to conduct research and investigation work.
- Strong Machine Learning intuition and experience with scientific programming.
- Well developed reasoning skills, especially around building efficient systems.
- The ability to distill highly abstract technical concepts into clear, actionable plans and formal academic literature.
Required Personal Qualities
- Be excited about and willing to work incredibly hard to build the next generation of Artificial Intelligence.
- Be engaged and motivated by very hard technical challenges.
- A preference for learning and mastering new frameworks over relying on established industry norms.
- Incredibly high attention to detail.
- A drive for great craftsmanship and an intolerance for technical mediocrity.
Ideal Candidate
- Advanced degree in Physics, Mathematics, Statistics, Financial Engineering, Computer Science, or another quantitative field.
- Proven track record of conducting and publishing research in your domain.
- Experience working with new data modalities, and finding needles in haystacks.
- Deep understanding of multi-state and multi-scale systems mediated by Complex-valued state vectors.
- Thrives in a high-agency environment with a lot of freedom to create and explore.
Logistics & Benefits
- Location: You will be working in-person at the Ren Asia offices in Port City, Colombo.
- A very competitive salary and equity compensation.
- In-office lunch and dinner + transportation benefits for late nights at the office.