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Edison Scientific

AI platform for scientific R&D workflows

Member of Technical Staff - AI Research Scientist

AI ResearchConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USAIn-person

About the Job

Requirements

  • At least 5 years of strong track record in machine learning research on real-world problems, including areas such as reinforcement learning, representation learning, and Bayesian methods.
  • Fluency in PyTorch, JAX, or an equivalent framework.
  • Experience with large-scale training and experimentation technologies such as Ray, verl, or Megatron-LM.
  • Experience working with data and machine learning systems, including exploratory data analysis, feature engineering, model development, model deployment, and validation in production systems.
  • Familiarity with modeling in PyTorch, JAX, or an equivalent framework.
  • Demonstrated experience conducting experiments in academic or industry settings.
  • Strong programming expertise and the ability to adapt to technical challenges across the data, machine learning, and large language model software stack.

Responsibilities

  • Interpret challenges in building AI agents for science as well-formulated statistical problems.
  • Conduct research in post-training large language models on challenging scientific reasoning tasks, with the goal of exceeding expert human capacity.
  • Conduct research in optimal sampling techniques, including efficient exploration and quality-diversity.
  • Own research projects end-to-end, from working with scientists to scope the problem through working with engineers to deploy the outcomes.
  • Develop and extend the experimentation platform for internal tools and projects.
  • Collaborate closely with a multidisciplinary team of AI researchers, engineers, biologists, and chemists.

Desired Qualifications

  • A PhD in Machine Learning, Computer Science, or another quantitative field.
  • Familiarity with leveraging and managing distributed systems.

About the Company

Edison Scientific

AI platform for scientific R&D workflows

Edison Scientific provides an AI-powered platform that unifies research tasks in one environment. It combines literature synthesis, data analysis, molecular design, and the creation of publication-ready figures and reports so researchers can move from hypothesis to validated results without switching between many tools. The platform uses natural language processing and machine learning to digest scientific literature and data, automate workflows, and run tasks in parallel to speed up discovery. Compared with competitors, Edison Scientific stands out by offering an integrated, end-to-end R&D workflow that links literature, data, and design in a single platform, reducing manual handoffs and enabling scalable research. The company’s goal is to streamline R&D processes, shorten the time to insight, and help organizations rapidly validate findings and publish their work.

Company size
51-200
Company stage
Seed
Total funding
$70M
Headquarters
San Francisco, CA
Founded
2025

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