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Autoscience

Autonomous AI researchers automating ML development

Senior / Staff Software Engineer

Backend EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Experience leading complex engineering projects or technical initiatives.
  • Experience acting as a technical lead or guiding small teams of engineers.
  • Strong software design and architecture skills.
  • Demonstrable experience writing clear technical design documents.
  • Strong experience with Python.
  • Experience building or operating backend or production infrastructure.
  • Experience working in 24/7 production environments.
  • Experience with Google Cloud Platform or similar cloud infrastructure.
  • Strong understanding of software evolution, maintainability, and system design tradeoffs.
  • Bachelor’s degree in Computer Science, Mathematics, or a related field.
  • Typically, strong candidates have 5 or more years of experience building and operating production software systems, including ownership of projects from design through deployment.

Responsibilities

  • Lead the design and implementation of core backend and infrastructure systems.
  • Own projects from architecture and design through production deployment.
  • Write clear technical design documents and drive engineering decisions.
  • Build and maintain 24/7 production systems supporting autonomous research agents.
  • Partner closely with research teams to productionize experimental workflows.
  • Guide and collaborate with engineers on system design and implementation.
  • Improve system reliability, scalability, and observability.
  • Help shape the technical direction of the platform.

About the Company

Autoscience

Autonomous AI researchers automating ML development

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 Mateo, CA
Founded
2024

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