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ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
machine learningdeep learningPythonPyTorchTensorFlowMLOpsdata processinggeospatial analyticsstatistical analysismodel development lifecycle
Soft Skills
leadershipproblem solvingcommunicationstakeholder alignmentmentoringteam collaborationclarity in technical decisionspragmatic thinkingadaptabilityfast-paced environment
Tools & Technologies
AWSW&Bhigh-performance compute environmentsanalytics productsproduction systemsdata workflowsAI-assisted workflowsmodel monitoringscalable ML platformproduction releases
Certifications & Qualifications
MScPhD
Industry Keywords
quantitative backgroundremote sensingproduction-level systemsanalytics at scalepetabytes of datafast-growth environmenttechnical team leadershipresearch and prototypingdeploymentiterative development
Tech Stack
Tools & technologiesAWSPythonPyTorchRemote SensingTensorflow
About the role
Key responsibilities & impact- 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
What you’ll need- 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+)
Benefits
Comp & perks- 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
