Founding Forecasting ML Engineer - Equity & Impact

Stealth AI Startup

Porto

Presencial

EUR 60 000 - 120 000

Tempo integral

Há 4 dias
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Resumo da oferta

Stealth AI Startup in Porto, Portugal is seeking a Founding Forecasting & ML Engineer to build models that uncover meaningful relationships in thousands of signals and translate them into forecasts trusted by customers.

You'll work directly with the founders on core challenges, turning research into customer-facing capabilities, shaping the technical direction of our predictive intelligence platform, and enjoying high ownership and equity.

Qualificações

  • Strong background in machine learning, statistics, econometrics, quantitative modeling or forecasting.
  • Experience with time-series, prediction systems or large-scale structured datasets.
  • Strong programming skills in Python and modern data science tooling.

Responsabilidades

  • Design and build forecasting models that predict business outcomes from complex real-world signals.
  • Work with large-scale temporal, economic, industrial, commodity, trade and market datasets.
  • Develop approaches for identifying leading indicators and hidden relationships across industries.
  • Build machine learning systems that combine structured, unstructured and event-driven data.
  • Experiment with causal inference, probabilistic modeling, graph-based approaches and modern machine learning techniques.
  • Design frameworks to evaluate forecast quality, uncertainty and confidence.
  • Collaborate closely with product and founders to turn research into customer-facing capabilities.
  • Help shape the technical direction of the company’s predictive intelligence platform.

Conhecimentos

Machine learning
Statistics
Econometrics
Forecasting
Time-series
Quantitative modeling
Critical thinking

Ferramentas

Python
Data science tooling

Descrição da oferta de emprego

Stealth AI Startup in Porto, Portugal is seeking a Founding Forecasting & ML Engineer to build models that uncover meaningful relationships in thousands of signals and translate them into forecasts trusted by customers.

You'll work directly with the founders on core challenges, turning research into customer-facing capabilities, shaping the technical direction of our predictive intelligence platform, and enjoying high ownership and equity.

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