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# AI/ML Engineer Autonomous Systems gesucht in Berlin

- **Company:** Motor Gmbh
- **Location:** Berlin, Germany (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, C++ (Programming Language), Continuous Integration, Python (Programming Language), Machine Learning, NumPy, Performance Tuning, Tensorflow, SQL Databases, Reinforcement Learning, Real Time Systems, Pytorch, Deep Learning, Git, Pandas, Containerization, Kubernetes, Information Technology, ONNX (Open Neural Network Exchange) Format, Machine Learning Operations, TensorRT, Docker
- **Published:** August 26, 2026
- **Apply:** https://www.lokale-kleinanzeigen.de/stellenanzeige/ai+ml+engineer+m+f+d+autonomous+systems_l16618320.html

## About the Role

* A completed degree in computer science, machine learning, data science, or a comparable field - or equivalent vocational training/apprenticeship in a relevant technical discipline. Hands-on experience counts at least as much as the formal qualification
 * 3+ years of relevant hands-on experience in applied AI/ML engineering
 * Strong knowledge of deep learning and reinforcement learning; familiarity with Active Inference approaches is a plus. Experience in the automotive industry and a track record of turning research papers into working product features are both an advantage
 * Strong Python skills with solid ML fundamentals, and hands-on experience with deep learning frameworks (PyTorch and/or TensorFlow)
 * Experience with reinforcement learning tooling (e.g. Stable-Baselines3, RLlib) and experiment-tracking tools (e.g. MLflow, Weights & Biases)
 * Experience deploying and optimizing models for production/real-time systems (e.g. ONNX, TensorRT, C++ integration)
 * Solid engineering practices: Git, CI/CD pipelines, and containerization (Docker, ideally Kubernetes)
 * Comfortable working with cloud/GPU compute environments (AWS, GCP, or Azure) and data tooling (NumPy, Pandas, SQL); experience with simulation environments such as CARLA and ROS/ROS2 familiarity are both a plus
 * An open-minded, curious mindset - you enjoy trying new approaches and ideas
 * A valid driving license
 * English C1 is required; German is a plus

## Description

* Model Development & Training - Design, train, and fine-tune machine learning models to meet performance, accuracy, and robustness requirements for autonomous driving use cases
 * Model Deployment & Integration - Integrate trained models into production systems, ensuring reliable, efficient, and safe operation within the overall software stack
 * Experimentation & Evaluation - Run structured experiments and evaluations to validate model performance, using established metrics and benchmarks
 * Performance Optimization - Optimize models for latency, memory, and compute constraints relevant to real-time autonomous systems
 * Cross-Functional Collaboration - Partner with data, perception, and simulation teams to ensure models are built on the right data and validated against real-world scenarios


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