# Machine Learning Research Scientist at Autoscience

- Company: Autoscience
- What the company does: Autoscience builds AI systems that train state-of-the-art models for frontier and applied AI labs. Backed by General Catalyst.
- Company website: https://autoscience.ai/
- Type: Startups (AI role)
- Level: Mid level
- Location: San Mateo
- Work setup: On-site
- Posted: 2025-09-14
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/autoscience/323b577d-3150-4696-be85-b25e488fc2f5
- Page: https://www.1752.vc/careers/jobs/autoscience-machine-learning-research-scientist/

## About the role

At Autoscience Institute, we create AI systems that autonomously conduct AI research. Recently, we announced the first AI agent to autonomously create peer-reviewed literature (ICLR 2025 Workshops). We are passionate about pushing the boundaries of artificial intelligence and contributing to groundbreaking advancements in the field. This is a full-time on-site role for a Machine Learning Research Scientist located in the San Francisco Bay Area.

## What they're looking for

- Education : PhD or equivalent research experience in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Exceptional candidates with strong research contributions are encouraged to apply regardless of formal degree
- Research : Publishing in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, etc) or equivalent industry experience at corporate AI research labs (Microsoft, Google, Nvidia, TRI etc)
- Technical : Expertise in training machine learning models, including deep learning, reinforcement learning or genetic algorithms. This does not include building multi-agent systems using LLM APIs or building RAG-based agents
- Curiosity : Passion for accelerating scientific discovery through AI and willingness to explore uncharted directions with minimal supervision
- Systems : Experience building scalable and production-ready machine learning pipelines or large-scale model training (distributed model training over >64 GPUs)
- Science : Any background or proven interested in Automated Scientific Research is a plus

Tags: Research