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 ResponsibilitiesCollaborate 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.
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.
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.
Top Skills
Intology Mountain View, California, USA Office
3444 Woodstock Ln, Mountain View, California, United States, 94040
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine



