Senior ML Research Engineer

Posted 09 May 2024
Salary €70000 - €80000 per annum
LocationStuttgart
Job type Permanent
Discipline DevelopmentData
ReferencePN-66-9
Contact NamePoppy Nabbs

Job description

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 options)

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!