LLM Modeling and Scaling Researcher
Join Ricursive Intelligence to conduct novel AI research and work on LLM modeling and scaling in a hands-on startup environment.
Posted by employer 7 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 18 hours ago
Skills & Technologies
AI in the day-to-day
Researchers design and run experiments at scale, and build/deploy models in production.
Not disclosed in this posting: compensation, seniority, years of experience, work arrangement, visa sponsorship.
Joblaze summary
In this role, the researcher will engage in hands-on experimentation and model deployment, tackling various challenges in LLM modeling and training. Proficiency in AI research methodologies and experience with data evaluation are essential for success. This position is ideal for experienced researchers who thrive in a startup environment and are eager to contribute to groundbreaking advancements in AI and chip design. Ricursive Intelligence emphasizes a collaborative atmosphere where innovation is at the forefront of their mission.
Joblaze insights
- Listed 10 days ago on Joblaze — tracked directly from Ricursive Intelligence's career page.
- Ricursive Intelligence has 12 other open roles including Chip Design Engineer, Software Engineer, Chip Design, LLM Infra Engineer.
- 5186 active AI/ML roles on Joblaze right now.
- Typical AI/ML salary we track runs $140,000–$230,000 (median $180,000, across 2253 roles). See AI/ML salary trends
Quick facts
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML.
- Is this full-time or contract?
- Full-time for this LLM Modeling and Scaling Researcher role at Ricursive Intelligence.
From the original posting
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 small and 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 (iPhone, iPad, M1) 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.
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