---
title: 'Machine Learning Research Scientist at Autoscience'
canonical: 'https://feeny.ai/job/machine-learning-research-scientist-autoscience-san-mateo-wf3axmr9k87g'
type: 'job'
last_seen: '2026-09-12'
---

# Machine Learning Research Scientist at Autoscience

- **Company:** Autoscience
- **Location:** San Mateo
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2025-09-14
- **Last confirmed live:** 2026-09-12
- **Apply:** https://jobs.ashbyhq.com/autoscience/323b577d-3150-4696-be85-b25e488fc2f5

## Job description

Company Description 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.

## Role Description

This is a full-time on-site role for a Machine Learning Research Scientist located in the San Francisco Bay Area.

- Work directly with the founder to develop autonomous research systems that ideate, experiment, and improve customer models.
- Collaborate with the engineering team to build and deploy production-ready research systems.
- RL post-train and fine-tune reasoning models to automate components of the machine learning research process.
- Stay current with the latest developments in AI research and automation.

Qualifications:

- 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.

Recommended Qualifications

- 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.

## Benefits & Perks

- Our comp is competitive against major LLM frontier lab packages
- Unlimited PTO and flexible working arrangements
- Conference attendance and publication support

Our Culture We're a team of passionate researchers and engineers working to automate scientific discovery. We believe in the power of AI to accelerate scientific discovery and are committed to responsible AI development

We are an e-verify employer.

## About Autoscience

## Company Overview
- **One-liner**: Autoscience builds AI systems that autonomously conduct AI research — from generating original peer-reviewed papers to shipping verified model improvements for enterprise ML teams.
- **Entity Type**: Private (Seed stage, $14M raised)
- **Headquarters**: San Mateo, California, United States
- **Founded**: 2024
- **Founders**: Not publicly disclosed

## Core Business
- **Primary industry**: Artificial intelligence R&D, automated machine learning
- **Target customers**: B2B (enterprise ML teams using Mira) and B2C/B2B for academia (Carl)
- **Mission**: Automate AI research and development to compress years of ML discovery into months, breaking the human bottleneck in AI innovation.

## Products & Services
- **[Carl](https://autoscience.ai)**: An AI research scientist for academia that hypothesizes, runs ablations, writes full-length papers, and submits them to peer review. First AI system to produce a peer-reviewed paper (ICLR 2025 Workshop).
- **[Mira](https://autoscience.ai)**: An AI-driven R&D system for enterprise ML. It drops into a customer’s stack, reads the codebase, runs experiments, and ships pull requests that are guaranteed to beat the baseline on the customer’s own evals.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: $14M total funding (Seed round, March 2026)
- **Notable Investors**: General Catalyst (lead), Perplexity Fund, Toyota Ventures, S32, MaC Ventures [autoscience.ai](https://www.autoscience.ai/blog/autoscience-autonomous-ai-lab)
- **Growth Signals**: 7 employees (as of mid-2026) with +42.9% monthly headcount growth [linkedin.com](https://www.linkedin.com/company/autoscienceai). First autonomous system to earn a Silver Medal in a Kaggle competition (Santa 2025, vs. 3,300 teams). 3 active job postings as of July 2026, indicating scaling.

## Competitive Advantages
- **First-mover in autonomous AI research agents**: Proven capability to produce peer-reviewed, publishable research and win ML competitions without human intervention.
- **Direct code integration**: Mira doesn’t just advise — it writes and ships production-ready improvements, creating a tight feedback loop.
- **Research-grade rigor**: In-house culture of experimental design and scientific depth, not just LLM orchestration.

## Strategic Focus
- Expand the engineering and research teams (currently hiring for Software Engineer, Senior/Staff Software Engineer, and Machine Learning Research Scientist) [autoscience.ai/careers](https://www.autoscience.ai/careers).
- Deepen partnerships with select large enterprises to replace understaffed ML teams with autonomous R&D capacity.

## Why Work Here
- **In-person, collaborative culture**: Full-time in San Mateo, with an emphasis on pairing, whiteboarding, and sitting next to teammates [autoscience.ai/careers](https://www.autoscience.ai/careers).
- **Competitive compensation**: Meaningful equity, competitive cash, 401(k) plan, relocation support for Bay Area moves, and unlimited PTO [autoscience.ai/careers](https://www.autoscience.ai/careers).
- **Frontier research environment**: Work directly with the founding team on autonomous systems that ideate, experiment, and improve customer models. Published at top venues (ICLR 2025 Workshop) [autoscience.ai](https://www.autoscience.ai/blog/autoscience-autonomous-ai-lab).
- **Values-driven**: Depth over breadth, transparency, ship and iterate, research-grade rigor [autoscience.ai/careers](https://www.autoscience.ai/careers).
- **High-growth early stage**: Small team (7 employees) with rapid hiring, offering significant impact and ownership.

## Sources
1. [autoscience.ai](https://autoscience.ai/)
2. [autoscience.ai/careers](https://www.autoscience.ai/careers)
3. [linkedin.com/company/autoscienceai](https://www.linkedin.com/company/autoscienceai)
4. [autoscience.ai/blog/autoscience-autonomous-ai-lab](https://www.autoscience.ai/blog/autoscience-autonomous-ai-lab)
5. [jobs.ashbyhq.com/autoscience](https://jobs.ashbyhq.com/autoscience)

## Other roles at Autoscience

- [Project Manager](https://feeny.ai/job/project-manager-autoscience-san-mateo-2nfm6ash3pm8) — San Mateo
- [Product Marketing Manager](https://feeny.ai/job/product-marketing-manager-autoscience-san-mateo-k80q21yt80m0) — San Mateo
- [Senior / Staff Software Engineer](https://feeny.ai/job/senior-staff-software-engineer-autoscience-san-mateo-dxphvysykyf7) — San Mateo
- [Software Engineer](https://feeny.ai/job/software-engineer-autoscience-san-mateo-czz54ssknk3s) — San Mateo
- [Machine Learning Research Scientist](https://feeny.ai/job/machine-learning-research-scientist-sentra-san-francisco-8z6rf1eprfga) — San Francisco, CA / Bay Area