Member of Technical Staff (Research)

Location: SF Bay Area or Tokyo, Japan
Type: Full-time

About Us

Radical Numerics is building the Automated AI Research Factory: a new kind of research lab where AI develops AI alongside human experts. Our first system, RISA-1 (Recursive Intelligence System Architecture) orchestrates environments where agents and humans collaborate to accelerate every part of AI development: from infrastructure and numerics to models and scientific applications.

The goal is to unlock recursive self-improvement (RSI) in a collaborative, engineered way—so new architectures, kernels, and models can be designed, tested, and deployed faster than ever.

 

What You’ll Work On

As a Member of Technical Staff, you’ll help us push the boundaries of how AI can improve itself. Depending on your background, you might contribute across different areas.

AI Systems & Infrastructure

• Build environments where agents can run large-scale experiments, from pretraining to inference.
• Develop observability and debugging tools to manage swarms of parallel agents.

AI Research

• Design and prototype new architectures (multi-hybrids, diffusion language models, scientific models).
• Automate research protocols that encode expert intuition for agents to execute.

Numerics & Hardware-Aware Algorithms

• Implement and optimize custom operators and kernels (e.g., Phalanx).
• Translate algorithmic ideas into performant code across diverse hardware.

Agents & Protocols

• Build agent workflows that integrate tool use, memory, and experimental protocols.
• Design planning strategies for parallelized and long-horizon research tasks.

Domain Applications

• Apply RISA to scientific problems such as DNA modeling, sensor data, and beyond.

Software engineering

• Design and implement robust, scalable systems.
• Develop features end-to-end: from architecture and design to testing and deployment.

What We’re Looking For

We’re early, so we value builders and explorers who thrive in uncharted territory. You might have experience in some of the following (not all required):

• Core AI research (pretraining science, post-training).
• Multi-agent systems (architecture, context engineering, memory).
• Systems and infrastructure (pretraining infrastructure, distributed systems, networking, inference infrastructure).
• Numerics and runtime engineering (CUDA or other DSLs e.g., CUTLASS, Mojo).
• Research tooling (loggers, ML frameworks).
• Systems for data at scale (data management, filtering).

Most importantly, you’re excited by the idea of turning AI development itself into a system that improves continuously.

Why Join

• Shape the foundations of recursive intelligence.
• Work with a small team of researchers and engineers who’ve built frontier models and systems.
• Build tools that empower both human experts and automated agents.
• Join at the ground floor of a company rethinking how AI itself gets built.

How to Apply

If this resonates, reach out at hiring@radicalnumerics.ai. Tell us what excites you, what you’ve built, or what you’d love to explore with us.