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    Machine Learning Researcher - Berlin, Deutschland - Digital Waffle

    Digital Waffle
    Digital Waffle Berlin, Deutschland

    vor 2 Wochen

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    Beschreibung

    Digital Waffle is proud to have partnered with an innovative Clima-Tech start-up in Berlin, looking for a Senior ML Research Engineer to join their growing team

    Role: Senior ML Research Engineer

    Location: Berlin (Hybrid/Remote)

    Salary: €70,000-€80,000 (with stock option)

    Role

    • Develop and improve cutting-edge ML models and pipelines powering the most innovative ML-powered product in Europe fighting climate-change
    • Pioneer new approaches to help fight climate-change, not just in Germany, but across the globe
    • Craft innovative features and enhance existing ones to ensure model precision and accuracy
    • Evaluate the robustness of your predictions, considering how project context and parameters influence accuracy metrics.
    • Lead the entire R&D process, from initial research and data exploration to rapid prototyping and continuous model improvement in production.
    • Bridge the gap between data science and other teams (Engineering, Product, Business Development) by providing expertise to assess feasibility, define project scope, and shape research initiatives.

    Requirements

    • A PhD or Master's degree in statistics/mathematics/computer science/machine learning
    • Expert in Python and a wealth of industry experience writing code in a production environment.
    • Proficiency in math and statistics.
    • Proven track record in developing machine learning models for regression problems.
    • Outstanding communication and teamwork abilities, capable of working effectively with both functional and cross-functional teams.
    • Self-driven with the capability to manage a project from inception to completion and achieve outcomes.

    Desirables

    • Specialisation in geospatial analysis
    • Knowledge in assessing the uncertainty of spatial maps
    • Experience with Google Earth Engine and geospatial libraries in Python.
    • Experience developing machine learning models applied to remote sensing time series data
    • Experience with a cloud platform (e.g. GCP, AWS)

    Benefits

    • Be part of our highly motivated, committed, and international team with flat hierarchies that is working on solving one of societies' biggest challenges: Climate Change
    • Hybrid/remote - very flexible
    • Competitive salary, benefits, and compensation package
    • 30 days vacation plus national holidays
    • Your choice of tech

    If you want to be a part of their mission to fight climate change, please apply here

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