Build and grow a high-performing ML team
Align technical decisions across ML, product, and engineering
Drive hands-on problem solving across our large-scale production system — getting models to work, shipping them, and iterating fast
Own the full model development lifecycle, from research and prototyping through deployment, monitoring, and maintenance
Architect a scalable ML platform that enables rapid experimentation and reliable production releases
Champion the development of new analytics products within the team
Design and implement geospatial analytics using state-of-the-art deep learning techniques and statistics
Establish clear decision criteria for model development, ensuring alignment across the team and with product requirements

Bring a strong quantitative background with an advanced degree (MSc or PhD) in computer science, engineering, mathematics, remote sensing, or similar
Have advanced programming skills in Python and strong proficiency with deep learning frameworks (PyTorch/TensorFlow) and modern architectures. Besides that you are familiar with MLOps tools (e.g., W&B) and high-performance compute environments (AWS, bare-metal)
Have 5+ years of hands-on machine learning experience with a track record of shipping production-level systems. Additionally, you have 2+ years of experience leading a technical team, including hiring, mentoring, and setting direction
Communicate with clarity
you align stakeholders and articulate technical decisions clearly, creating shared understanding across teams
Are deeply technical
you get things to work quickly, solve problems pragmatically, and own systems end-to-end
Have prior experience in a software company, shipping productized analytics at scale, and are comfortable in a fast-paced, high-growth environment
Bring routine in working with petabytes of data and designing effective data processing tools and workflows
Work effectively with AI-assisted workflows and coding tools
Are fluent in English (C1+) and German (C1+)

A purpose-driven mission tackling complex sustainability challenges while working alongside global industry pioneers at a fast-growing unicorn company
Room for creativity through collaborative teamwork and an open communication culture
Flexibility and team bonding with our hybrid work options
Fuel for your growth journey, both personally and professionally
Sustainable mobility options, promoting eco-friendly commuting solutions
Fun team events and outings with our global teams
Inspiring workspaces in Mannheim, Munich and Madrid

Team Lead, Machine Learning

Key skills