Autoscience
Autonomous AI researchers automating ML development
Machine Learning Research Scientist
More locations: Menlo Park, CA, USA
About the job
- A PhD or equivalent research experience in Computer Science, Machine Learning, Artificial Intelligence, or a related field; exceptional candidates with strong research contributions may qualify without a formal degree.
- Publication in top-tier artificial intelligence or machine learning conferences such as NeurIPS, ICML, or ICLR, or equivalent industry experience at a corporate AI research lab such as Microsoft, Google, Nvidia, or Toyota Research Institute.
- Expertise in training machine learning models, including deep learning, reinforcement learning, or genetic algorithms.
- Passion for accelerating scientific discovery through artificial intelligence and willingness to explore uncharted directions with minimal supervision.
- 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.
- Reinforcement learning post-train and fine-tune reasoning models to automate components of the machine learning research process.
- Stay current with the latest developments in artificial intelligence research and automation.
- Experience building scalable and production-ready machine learning pipelines or conducting large-scale model training, including distributed model training over more than 64 GPUs.
- A background in or demonstrated interest in automated scientific research.
About the company
Autoscience builds AI-driven tools to automate machine learning research and development. Its core product is a virtual AI laboratory where non-human AI scientists ideate, test, and deploy new ML models. The platform uses two main AI systems: one that generates and evaluates algorithmic hypotheses and another that optimizes and ships validated inventions into production.
Company Size
11-50
Company Stage
Seed
Total Funding
$14M
Headquarters
San Francisco, California
Founded
2024
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Simplify's Take
What believers are saying
- General Catalyst led Autoscience's March 18, 2026 seed round, validating investor demand.
- Mira targets Fortune 500 workflows in finance, manufacturing, and fraud detection.
- The company says Carl already generated its first full-length peer-reviewed paper.
What critics are saying
- ICLR organizers were not informed, so the peer-review claim carries lasting credibility damage.
- Lila Sciences raised $550 million, overwhelming Autoscience's $14 million war chest.
- If Mira misses enterprise deployment, Autoscience becomes a publicity lab without durable revenue.
What makes Autoscience unique
- Carl and Mira target end-to-end machine-learning research, not generic copilots.
- Autoscience won an ICLR 2025 workshop acceptance and a Kaggle silver medal.
- Eliot Cowan combines X and MIT credibility with applied research execution.
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Benefits
Unlimited Paid Time Off
Flexible Work Hours
Conference Attendance Budget
Growth & Insights and Company News
6 month growth
↓ -8%1 year growth
↓ -8%2 year growth
↓ -8%Autoscience announced today it has raised $14M in seed funding to automate the research and development of new machine learning models. The round was led by ...