Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

MOTOR Ai is dedicated to making Level 4 autonomous driving a reality by combining state-of-the-art AI with a multidisciplinary team. We aim to introduce the first certified autonomous driving solution in Germany, shaping the future of mobility.

Responsibilities

• Design, train, and fine-tune machine learning models for autonomous driving use cases.
• Integrate trained models into production systems, ensuring reliable, efficient, and safe operation.
• Conduct structured experiments and evaluations to validate model performance.
• Optimize models for latency, memory, and compute constraints in real-time systems.
• Collaborate with data, perception, and simulation teams to ensure model quality and validation.

Requirements

• Completed degree in computer science, machine learning, data science, or a comparable field, or equivalent vocational training/apprenticeship.
• 3+ years of 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 into product features are advantageous.
• Strong Python skills with solid ML fundamentals.
• Hands-on experience with deep learning frameworks (PyTorch and/or TensorFlow).
• Experience with reinforcement learning tooling (e.g., Stable-Baselines3, RLlib).
• Experience with 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 a plus.
• An open-minded, curious mindset.
• A valid driving license.
• English C1 proficiency is required; German is a plus.

Skills

• Machine Learning
• Deep Learning
• Reinforcement Learning
• Python
• PyTorch
• TensorFlow
• Stable-Baselines3
• RLlib
• MLflow
• Weights & Biases
• ONNX
• TensorRT
• C++
• Git
• CI/CD
• Docker
• Kubernetes
• AWS
• GCP
• Azure
• NumPy
• Pandas
• SQL
• CARLA
• ROS/ROS2

Location

• Germany

Work Type

• Onsite
• Face-to-face collaboration

Experience Level

• 3+ years of relevant hands-on experience

Education Level

• Degree in computer science, machine learning, data science, or a comparable field
• Equivalent vocational training/apprenticeship

Benefits

• Focus on people and diversity
• Genuine team spirit
• Professional development support
• Flexible working hours
• Discounts through Corporate Benefits
• Social relevance of work
• Subsidy for public transport tickets
• Excellent transport links

About the Company

• MOTOR Ai is dedicated to making Level 4 autonomous driving a reality.
• Our mission is to combine state-of-the-art AI with team expertise.
• We are introducing the first certified autonomous driving solution in Germany.
• We have been pursuing a single goal since 2017: to shape a future that is already in motion.
• Our international team is growing and working together on this exciting mission.
• We value face-to-face collaboration and are not a fully remote company.