Machine Learning Software Engineer

About the role

Applied Intuition is seeking a Machine Learning Software Engineer to develop core ML capabilities for autonomous vehicle and mobile robot stacks. You will work on perception, prediction, or planning systems that enable physical AI across multiple industries.

Key responsibilities

• Design and implement cutting‑edge perception or planning/prediction workflows.
• Leverage existing Applied Intuition products to build the software and infrastructure foundation for ML development.
• Develop end‑to‑end deep learning pipelines, from data ingestion to model deployment.
• Collaborate with cross‑functional teams to ensure robust, production‑grade ML solutions.

Required profile

• 3+ years of experience building production software using modern practices.
• Hands‑on experience with the full development cycle of deep learning models.
• Fluency in C++ or Python (with intermediate C++ knowledge).
• Deep understanding of ML/DL frameworks and libraries.
• Experience with production‑level perception algorithms for autonomous vehicles.

Required skills

• Python
• C++
• Deep learning
• Machine learning
• Model optimization
• Input pipelines
• Evaluation
• Deployment

What we offer

• On‑site work in Stuttgart with flexibility for occasional remote work.
• Opportunity to impact the future of autonomous systems.