Software Engineer

Posted 6 Days Ago
San Francisco, CA
In-Office
Entry level
Artificial Intelligence • Information Technology • Software • Automation
The Role
As a Software Engineer, you'll collaborate with the R&D team to design and implement scalable infrastructure for automated research systems, ensuring enterprise compliance and contributing to product design.
Summary Generated by Built In
Overview

Join our core team building & deploying end-to-end automated research systems.

📰 The 1st fully AI-generated scientific discovery to pass the highest level of peer review – the main track of an A* conference (ACL 2025). https://www.intology.ai/blog/zochi-acl

Key Responsibilities
  • Collaborate with core R&D team to design & implement scalable, secure infrastructure for automated research systems.

  • Spearhead compliant requirements for enterprise deployments.

  • Contribute to core product design and philosophy.

Qualifications
  • Bachelor's degree in Computer Science, Math, EE or a related field.

  • Demonstrable experience with Google Cloud Platform and Google Kubernetes Engine.

  • Clear experience working on & designing enterprise-compliant software.

  • Experience with Back-End/Front-end Development, logging, and analytics.

  • Interest & ability to work collaboratively with small, fast-moving teams.

  • Passion for accelerating the process of problem-solving & scientific discovery, with comfort in high-autonomy roles & environments.

Our Culture
  • Competitive salary & equity packages, even higher for senior roles.

  • Unlimited PTO with a focus on on-site team-building & communal work environment.

  • Conference attendance & involvement in community-facing events.

  • High-agency & responsibility.

#1: We are are small, dedicated group of top investors, researchers, and industry veterans, dedicated to the mission of accelerating discovery. Join us.

Top Skills

Google Cloud Platform
Google Kubernetes Engine
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The Company
HQ: Mountain View, California
2 Employees
Year Founded: 2025

What We Do

Intology is a research lab building end-to-end automated research systems. Our Artificial Scientists have published discoveries at A* conferences and outperform human experts on AI research tasks.

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