Machine Learning Engineer supporting the Enterprise Machine Learning team in developing advanced solutions. Collaborating with stakeholders and driving data science initiatives in a hybrid work environment.
About the role
- Team Lead Machine Learning overseeing production systems for sustainability analytics using satellite imagery and ML. Leading a technical team to drive innovative geospatial solutions.
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+)
Benefits
- 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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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