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LLM Modeling and Scaling Researcher

Ricursive Intelligence
Palo Alto
Full-time
You apply on Ricursive Intelligence's own careers site

This researcher conducts AI research on LLM modeling, training, data, and evaluation. The role includes running experiments at scale and building and deploying models in production.

Full-time
On-site

Skills & Expertise

LLM modeling
Model training
Data
Evaluation
Large-scale experimentation
Model deployment

Key Responsibilities

Conduct novel AI research on LLM modeling and related challenges.

Design and run experiments at scale across training, data, and evaluation.

Build and deploy models in production.

Full Description

Ricursive Intelligence is a frontier AI lab building self-improving systems, starting with chip design. We are reinventing chip development and closing the loop between AI and the hardware that fuels it, recursively accelerating the path to artificial superintelligence. Backed by $335M from Sequoia, Lightspeed, DST, and NVIDIA Ventures, we are a growing, fast-paced team where every hire shapes the work.

The company has unmatched talent density, including IMO, IPHO, and IOAA gold medalists, pioneers who made prior breakthroughs in chip design: AlphaChip (Nature 2021), ePlace (DAC Best Paper Nominee 2014), RL-CCD (DAC Best Paper 2023), INSTA (DAC Best Paper 2025), and C3PO (ASP-DAC Best Paper 2026), chip leads for Apple Silicon (multiple generations of iPhone and iPad) and Google (TPU, OpenTitan), and top researchers and engineers from Anthropic, Google DeepMind, Stanford, and MIT.

We are hiring best-in-class researchers to conduct novel AI research, work on a variety of challenges related to LLM modeling, training, data, evaluation, and more. As a startup, everyone is hands-on - our researchers design and run experiments at scale, and build/deploy models in production.

Applications are handled on Ricursive Intelligence's site