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Software Engineer

Intology · Machine Learning · AI Research Labs · Equity · Bachelor's Degree · 1 year ago
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Salary
≈ $146k – $315k per year (Estimated)
Location
In office (San Francisco)
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 1, 2026. First seen by Alion on Sep 16, 2025.

Overview
Company
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Profile match

Intology

Automated AI R&D for LLM Training Drug Discovery LLM Training Drug Discovery Genomics Materials Science Scientific Discovery Quantitative Trading Search & Recommendation Risk & Forecasting All. LLM Training Drug Discovery.
intology.ai · HQ: San Francisco, United States · AI Research Labs · Machine Learning · 1-10 employees · Est. 2025

Overview

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

Zochi publishes the first fully-AI generated A* conference paper

Locus becomes the first AI-system to outperform human experts at AI R&D

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.
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