27 days ago
Berlin, GermanyMid Level
Responsibilities
- Design, train, and fine-tune machine learning models for autonomous driving use cases.
- Integrate trained models into production systems for reliable, efficient, and safe operation.
- Run structured experiments and evaluations using established metrics and benchmarks.
- Optimize models for latency, memory, and compute constraints in real-time autonomous systems.
- Collaborate with data, perception, and simulation teams on data quality and real-world validation.
- Deploy and optimize models for production and real-time systems.
Requirements
- Completed education in computer science, machine learning, data science, or a comparable field, or equivalent vocational training/apprenticeship in a relevant technical discipline.
- At least 3 years of relevant hands-on experience in applied AI/ML engineering.
- Strong knowledge of deep learning and reinforcement learning; Active Inference familiarity is a plus.
- Strong Python skills, solid machine learning fundamentals, and hands-on experience with PyTorch and/or TensorFlow.
- Experience with reinforcement learning tooling, experiment tracking, production model deployment, and optimization.
- Experience with C++ integration, cloud/GPU compute environments, and data tooling.
- Automotive industry experience and a record of converting research papers into working product features are advantages.
- Familiarity with simulation environments such as CARLA and ROS/ROS2 is a plus.
- Valid driving license and English proficiency at C1 level are required; German is a plus.
Benefits
- Costs of further education and training are covered.
- Flexible working hours accommodating personal and caregiving responsibilities.
- Partner discounts through Corporate Benefits.
- Subsidy for public transport tickets.
- Excellent public transport connections at the company’s Wedding location.
- Face-to-face collaboration is expected; the company is not fully remote.
Tech Stack
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