Join Forgis as a Machine Intelligence Data Analyst, a core engineering role transforming raw industrial signals into predictive and prescriptive models. You'll make robots and machines smarter by designing, building, and deploying real-time intelligence systems that optimize production and enable autonomous decision-making on the factory floor.
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Machine Intelligence Data Analyst at Forgis
Are you a top-tier quant or F1-level data scientist ready to make robots and machines smarter? Forgis, a rapidly growing intelligent manufacturing platform, is seeking a Machine Intelligence Data Analyst to transform raw industrial signals into real-time, autonomous decision-making models. Join a mission-driven team, backed by $4.5M in 36 hours, and shape the future of industrial AI with significant real-world impact.
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Location
Zurich, Switzerland
Compensation
CHF 75k + 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
- Immerse yourself in real factories and machines to understand production lines, signal drift, and physical system failures.
- Design and ship robust models for predicting machine failures, detecting anomalies, and optimizing industrial systems in production.
- Engineer real-time data pipelines and inference systems, ensuring low latency, high reliability, and explainability on the factory floor.
Who this is a fit for
- Possesses a strong quantitative background with an MSc (or equivalent) from a top-tier university.
- Is exceptional with time series, noisy signals, high-dimensional systems, and proficient in Python, data engineering, and ML/statistical modeling.
- Has proven experience solving hard problems on elite engineering teams and is comfortable with real systems and consequences.
Why this role is remarkable
- Work at the heart of industrial AI, transforming complex physical processes into real-time intelligence for autonomous factory operations.
- Join Zurich's most promising startup, backed by $4.5M raised in 36 hours, partnered with Fortune 500 manufacturers.
- Gain direct access to a world-class industrial advisor network and a fully equipped workshop for experimentation, with high equity potential.
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