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Senior Machine Learning Engineer - Simulation & GenAI(m/w/x)
AI-based 3D reconstruction of driving scenes, evaluating GenAI models for simulation enhancement in automotive virtual development. Hands-on expertise in quantization, model compression, or experiment design essential. Six weeks annual leave, profit sharing.
Anforderungen
- University degree in Computer Science, Data Science, AI, Mathematics, Physics, or comparable qualifications
- Several years of experience in ML Engineering or MLOps
- Ideal hands-on expertise in quantization, model compression, experiment design, ablations, data quality, metrics & evaluation, or architecture optimization
- Deep understanding of modern AI model architectures, training pipelines, distributed learning, and GPU optimization
- Confidence working with synthetic data, augmentation strategies, and data-driven model downsizing
- Engineering skills: Python (plus C++/Rust), CUDA, API design, testing, debugging across the stack, Git
- Knowledge in 3D authoring tools like Blender, glTF, Unreal, RoadRunner (plus)
- Knowledge in 3D scene creation or algorithmic 3D reconstruction (plus)
Aufgaben
- Perform AI-based 3D reconstruction of driving scenes.
- Develop AI models for intelligent traffic participants.
- Evaluate and select GenAI models for simulation enhancement.
- Design scalable training and MLOps infrastructure.
- Operate scalable training and MLOps infrastructure.
- Implement distributed training solutions.
- Build automated evaluation pipelines.
- Optimize cloud and on-prem compute usage.
- Optimize GPU toolchain, scheduling, and profiling.
- Manage GPU resource allocation.
- Contribute to driver assistance system simulation.
- Evaluate simulation quality.
- Assess toolchain and model behavior.
- Collaborate with interdisciplinary engineering teams.
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- C++
- Rust
- CUDA
- Git
- Blender
- glTF
- Unreal
- RoadRunner
- GPU
Benefits
Boni & Prämien
- Christmas bonus
- Profit sharing
Flexibles Arbeiten
- Flexible working hours
Mehr Urlaubstage
- Six weeks annual leave
Attraktive Vergütung
- Overtime compensation
Weiterbildungsangebote
- Personal development opportunities
- Professional development opportunities
Sicherer Arbeitsplatz
- Job security
Mitarbeiterrabatte
- Discounted BMW & MINI conditions
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Senior Machine Learning Engineer - Simulation & GenAI(m/w/x)
AI-based 3D reconstruction of driving scenes, evaluating GenAI models for simulation enhancement in automotive virtual development. Hands-on expertise in quantization, model compression, or experiment design essential. Six weeks annual leave, profit sharing.
Anforderungen
- University degree in Computer Science, Data Science, AI, Mathematics, Physics, or comparable qualifications
- Several years of experience in ML Engineering or MLOps
- Ideal hands-on expertise in quantization, model compression, experiment design, ablations, data quality, metrics & evaluation, or architecture optimization
- Deep understanding of modern AI model architectures, training pipelines, distributed learning, and GPU optimization
- Confidence working with synthetic data, augmentation strategies, and data-driven model downsizing
- Engineering skills: Python (plus C++/Rust), CUDA, API design, testing, debugging across the stack, Git
- Knowledge in 3D authoring tools like Blender, glTF, Unreal, RoadRunner (plus)
- Knowledge in 3D scene creation or algorithmic 3D reconstruction (plus)
Aufgaben
- Perform AI-based 3D reconstruction of driving scenes.
- Develop AI models for intelligent traffic participants.
- Evaluate and select GenAI models for simulation enhancement.
- Design scalable training and MLOps infrastructure.
- Operate scalable training and MLOps infrastructure.
- Implement distributed training solutions.
- Build automated evaluation pipelines.
- Optimize cloud and on-prem compute usage.
- Optimize GPU toolchain, scheduling, and profiling.
- Manage GPU resource allocation.
- Contribute to driver assistance system simulation.
- Evaluate simulation quality.
- Assess toolchain and model behavior.
- Collaborate with interdisciplinary engineering teams.
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- C++
- Rust
- CUDA
- Git
- Blender
- glTF
- Unreal
- RoadRunner
- GPU
Benefits
Boni & Prämien
- Christmas bonus
- Profit sharing
Flexibles Arbeiten
- Flexible working hours
Mehr Urlaubstage
- Six weeks annual leave
Attraktive Vergütung
- Overtime compensation
Weiterbildungsangebote
- Personal development opportunities
- Professional development opportunities
Sicherer Arbeitsplatz
- Job security
Mitarbeiterrabatte
- Discounted BMW & MINI conditions
Über das Unternehmen
BMW Group
Branche
Automotive
Beschreibung
Das Unternehmen bietet spannende Praktika im Bereich Markenerlebnis und Eventmanagement und legt großen Wert auf Gleichbehandlung und Chancengleichheit.
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