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.
AI/ML Software Engineer at Forgis
Join Forgis as a founding AI/ML Software Engineer in Zürich and help build the 'factory brain' for the next generation of manufacturing. Backed by $4.5M from Redalpine, we are using causal AI and edge computing to automate industrial machines and restore sovereignty to the Western industrial base. This high-ownership role offers meaningful equity and the unique challenge of deploying frontier models that directly control physical hardware on the factory floor.
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Location
Zürich, Switzerland
Compensation
Not Disclosed + Equity
Company
Forgis
Role overview
SoftwareZurich, SwitzerlandPre-Seed (VC-backed)
Forgis is a Zürich-based AI and software startup founded in 2025 that develops innovative, hardware- and application-agnostic software solutions to automate industrial machines and manufacturing plants. Their technology acts as an intelligent layer or AI co-pilot to accelerate robot programming, enhance factory automation, reduce downtime, increase throughput, and enable reshoring of production by making automation more cost-effective and flexible. Forgis targets the automotive and advanced manufacturing sectors, aiming to improve efficiency and productivity with AI-driven industrial intelligence.
Backed by Redalpine, Venture Kick, Founderful Campus, S2S Ventures, Talent Kick, Gebert Rüf Stiftung, Massimo Banzi, David Shapira, Tine Petric.
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.
Who this is a fit for
- 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.
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.
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