AI/ML Engineer (m/f/d) Autonomous Systems

MOTOR Ai GmbH; Berlin; Vor Ort; EUR 70.000 - 120.000; Vollzeit

Benefits dieser Stelle

Public transport subsidy

Corporate Benefits discounts

Flexible working hours

Excellent transport links

Zusammenfassung

MOTOR Ai GmbH in Berlin is seeking an experienced AI/ML Engineer to advance Level 4 autonomous driving. You will design, train, and deploy models and collaborate with perception, data, and simulation teams to bring research into production.

The ideal candidate has a CS/ML degree and 3+ years of hands-on AI/ML experience, strong Python and DL frameworks (PyTorch or TensorFlow), plus production ML tools. English is required; German is a plus.

Qualifikationen

• Degree in Computer Science, ML, Data Science, or equivalent practical training.
• 3+ years of hands-on experience in applied AI/ML engineering.
• Strong knowledge of deep learning and reinforcement learning; automotive experience is a plus.
• Proficient in Python with PyTorch/TensorFlow.
• Experience with reinforcement learning tooling and experiment-tracking tools.
• Experience deploying models for production/real-time systems (ONNX/TensorRT/C++).
• Solid software practices: Git, CI/CD, and containerization (Docker/Kubernetes).
• Comfort with cloud GPUs and data tooling; familiarity with simulation environments (CARLA/ROS).
• English at least C1; German is a plus.

Aufgaben

• Model Development & Training for autonomous driving use cases.
• Model Deployment & Integration into production systems.
• Experimentation & Evaluation with established metrics and benchmarks.
• Performance Optimization for latency, memory, and compute constraints.
• Cross-Functional Collaboration with data, perception, and simulation teams.

Kenntnisse

Python

Deep learning

Reinforcement learning

DL frameworks

Production ML tools

Cloud computing

Docker/Kubernetes

ONNX/TensorRT

Git/CI/CD

ROS/Carla familiarity

Ausbildung

CS/ML/Data Science degree

Tools

PyTorch

TensorFlow

Stable-Baselines3

RLlib

MLflow

Weights & Biases

ONNX

TensorRT

Docker

Kubernetes

Jobbeschreibung

We are MOTOR Ai. Our mission is to make Level 4 autonomous driving a reality in Germany and beyond. By combining state-of-the-art AI with the expertise of our multidisciplinary team, we are poised to introduce the first solution of its kind in Germany that is eligible for certification on European roads. Since 2017, we have been steadfastly pursuing a single goal: to shape a future that is already in motion.

Tasks

• 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

Requirements

• 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
• Focus on people: Our strength lies in our diversity. We respect each other for who we are
• Genuine team spirit: working in teams that drive change forward – no matter how complex and extensive the projects are
• Your professional development is important to us – that's why we cover the costs of further education and training
• Flexible working hours – with room for the realities of life (parenthood, caregiving responsibilities, voluntary work, etc.)
• Whether it's fashion, beauty, travel or culture – you'll receive numerous discounts through our partner Corporate Benefits
• Social relevance: We work on solutions that have game‑changing qualities
• Subsidy for public transport tickets
• Excellent transport links: attractive location in Wedding with very good public transport connections

Excited about our vision and ideas? Do you see real value in autonomous driving for everyone? Then apply to MOTOR Ai and become an active part of a safe, explainable future of mobility.

We particularly welcome applications from women and explicitly encourage them to apply for this position.

At our new premises, we place great importance on getting to know one another and working together to drive our vision forward. Our international team is growing and working together on this exciting mission. Face‑to‑face collaboration is the key to success, which is why we have decided not to become a fully remote company.