# Research Engineer / Research Scientist at River AI

- Company: River AI
- What the company does: Develop frontier language models and agents. Training, reinforcement learning, and inference in one system, on River Cloud or your own GPU cluster. Backed by General Catalyst.
- Company website: https://river.ai/
- Type: Startups (AI role)
- Level: Mid level
- Location: Palo Alto, CA
- Work setup: On-site
- Pay: $200K to $420K base salary per year (USD)
- Posted: 2026-05-14
- Apply by: 2026-10-08
- Apply: https://job-boards.greenhouse.io/riverai/jobs/4249304009
- Page: https://www.1752.vc/careers/jobs/river-ai-research-engineer-research-scientist/

## About the role

We are looking for exceptional researchers to design and train the foundation models that power River's personal AI. Your goal is to push the frontier of deep learning, focusing on architectures that can continuously learn, deeply personalize, and run efficiently on local hardware. You will take ownership of the research lifecycle from ideating novel algorithms to scaling large training runs, ensuring our AI evolves alongside the user to become a true extension of their will.

## What they're looking for

- BS, MS, or Ph.D. in Computer Science, Machine Learning, Mathematics, or equivalent practical industry experience
- Deep understanding of modern deep learning architectures (e.g., Transformers, diffusion models) and advanced training methodologies
- Extensive hands-on experience with PyTorch or JAX, with a track record of writing clean, scalable code for model training
- Proven ability to take open-ended research problems from mathematical formulation to working, scaled implementations
- A highly collaborative mindset and a bias for action to push boundaries in a fast-paced environment
- Track record of impactful publications at top-tier AI conferences (e.g., NeurIPS, ICLR, ICML) or equivalent industry research breakthroughs

Tags: Research