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Deep Origin Tech Stack

ML and simulation platform for computational drug discovery

Biotechnology Research South San Francisco, California 51–200 employees Founded 2022 Privately Held

Deep Origin built a full-stack computational platform for drug discovery using Node.js, TypeScript, Python, and PyTorch on Kubernetes — a tech composition optimized for both web services and large-scale ML model training. The hiring profile (senior engineers and design leads, active roles in ML infrastructure and developer tooling) and project backlog (large-scale biological models, benchmark systems, test automation) reveal a company scaling from MVP toward production ML ops. Pain points around low-data ML regimes and model evaluation benchmarks suggest they're solving hard ML problems in biology where traditional training datasets don't exist.

What Deep Origin Is Building

Challenges

  • Accelerating drug discovery
  • Developing ml models for low-data regimes
  • Scaling hr processes for rapid growth
  • International hiring compliance
  • Building scalable hr infrastructure

Active Projects

  • Large-scale ml models for biological systems
  • Robust data processing pipelines
  • Benchmark development for model evaluation
  • End-to-end test automation
  • Internal developer tooling
  • Monitoring and health-check systems

Hiring Activity

Steady7 roles · 3 in 30d

Department

Engineering
3
Design
2
HR
1
Research
1

Seniority

Senior
4
Lead
2
C-Level
1
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About Deep Origin

Deep Origin builds computational tools for drug discovery, targeting research scientists and biotech teams working on early-stage drug development. The platform combines bioinformatics tooling with ML simulation capabilities to compress R&D timelines. Founded in 2022, the company operates from South San Francisco with 51–200 employees. They're actively hiring across engineering, design, and research roles in the United States and Armenia, with a leadership-heavy seniority mix indicating investment in technical depth and operational scaling.

HeadquartersSouth San Francisco, California
Company Size51–200 employees
Founded2022
Hiring MarketsUnited States, Armenia

Frequently Asked Questions

What tech stack does Deep Origin use?

Deep Origin runs on Node.js, TypeScript, Python, PostgreSQL, MongoDB, Kubernetes, and PyTorch. Frontend is React. They use Playwright and Cypress for test automation, Docker for containerization, and Prometheus/Grafana for monitoring.

What is Deep Origin working on?

Their active projects include large-scale ML models for biological systems, robust data processing pipelines, benchmark development for model evaluation, end-to-end test automation, internal developer tooling, and monitoring systems.

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