Team Lead, Machine Learning

Responsibilities

• 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

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+)