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AI​/ML Software Engineer Equity at Forgis

Job in Zürich, 8058, Zurich, Kanton Zürich, Switzerland
Listing for: Jack & Jill
Full Time position
Listed on 2026-07-19
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 180000 CHF Yearly CHF 120000.00 180000.00 YEAR
Job Description & How to Apply Below
Position: AI/ML Software Engineer (+ Equity) at Forgis
Location: Zürich

Job Title

AI/ML Software Engineer

Salary

Not Disclosed + Equity

Company Description

Forgis is a Zürich-based pre-seed startup backed by $4.5M from Redalpine, building the intelligent orchestration layer for global manufacturing plants.

Job Description

You will develop and deploy advanced machine learning models across industrial environments as part of Forgis' founding ML team. Working with time-series, vision, and NLP data, you'll build Hyperion—an AI brain that orchestrates factory hardware, generates code, and runs causal AI agents on the edge to automate billion-dollar manufacturing sectors.

Location

Zürich, Switzerland

Why this role is remarkable
  • Join the founding ML team of an ETH Zurich DNA startup backed by $4.5M from Redalpine to reshape global manufacturing.
  • Build AI that interacts with the physical world, deploying causal AI agents that directly control industrial hardware and robots.
  • High-ownership environment where you define the ML stack and receive meaningful equity in a fast-moving, pre-seed company.
What You Will Do
  • Develop and deploy full-lifecycle ML models utilizing time-series, computer vision, and tabular data from real-world industrial environments.
  • Design and build automated pipelines that transform unused factory data into functional robot and PLC code.
  • Own the deployment of intelligence across edge, on-prem, and cloud levels to ensure seamless orchestration of manufacturing machines.
The Ideal Candidate
  • Strong ML engineering foundation with specific expertise in at least two areas: time-series, computer vision, or MLOps on messy data.
  • High-caliber technical background, such as experience at frontier AI labs or academic excellence from top-tier technical universities like ETH.
  • Proven builder mindset with a valid EU/EEA/Swiss passport or Swiss degree and a notice period of three months or less.
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