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

Meyandy LLC; Berlin; Hybrid; EUR 70.000 - 110.000; Vollzeit

Benefits dieser Stelle

Flexible working hours

Professional development covered

Discounts with partners

Public transport subsidies

Zusammenfassung

MOTOR Ai in Berlin is hiring an AI/ML Engineer (m/f/d) for Autonomous Systems to develop, train, and productionize ML models for Level 4 autonomy. You will optimize models for real-time constraints and collaborate with data, perception, and simulation teams to validate performance on real-world scenarios.

Required 3+ years in applied AI/ML, strong Python and DL skills, and experience with PyTorch/TensorFlow. Prior automotive experience is a plus, and knowledge of ONNX/TensorRT is beneficial.

Qualifikationen

• 3+ years of hands-on experience in applied AI/ML engineering.
• Strong knowledge of deep learning and reinforcement learning; familiarity with Active Inference is a plus.
• Experience with Python and ML frameworks (PyTorch/TensorFlow).
• Experience deploying and optimizing models for production/real-time systems.
• Experience in the automotive industry is advantageous.

Aufgaben

• Model Development & Training - design, train, and fine-tune ML models for autonomous driving use cases.
• Model Deployment & Integration - integrate models into production systems with reliable, safe operation.
• Experimentation & Evaluation - run structured experiments and validate model performance.
• Performance Optimization - optimize models for latency, memory, and compute constraints.
• Cross-Functional Collaboration - work with data, perception, and simulation teams to validate models against real-world scenarios.

Kenntnisse

Python

Deep learning

Reinforcement learning

PyTorch

TensorFlow

ONNX

Git

CI/CD

Ausbildung

Degree in computer science or related field

Tools

MLflow

Weights & Biases

Stable-Baselines3

RLlib

CARLA

ROS/ROS2

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.

Benefits

• 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.

Ai/ML Engineer (m/f/d) Autonomous Systems - MOTOR Ai, Berlin.

We ask recruitment consultancies and agencies not to submit candidate profiles without our prior express request. Any candidate profiles submitted without a prior written placement agreement si...

Mots-clés : IT.