Job
- Level
- Senior
- Job Feld
- Software, Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- München
- Arbeitsmodell
- Onsite
Job Zusammenfassung
In diesem Job entwickelst du KI-basierte Lösungen für autonome Fahrzeugsysteme, arbeitest mit umfangreichen Datensätzen und optimierst ML-Modelle für reale Anwendungen in verschiedenen Umgebungen.
Job Technologien
Deine Rolle im Team
- Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. But it takes real intellectual leadership and expertise to identify and then harness the AI trends and technologies that will transform the way people travel for good.
- At BMW's Autonomous Driving Campus, we develop and scale next-generation perception and planning systems for autonomous driving. You will build production-grade machine learning solutions using one of the industry's largest real-world driving datasets, powering millions of vehicles worldwide.
- You design and develop next-generation architecture at the intersection of multi-modal perception, foundation models, behavior learning, and end-to-end autonomous driving.
- Furthermore, you co-design cutting-edge software that translates state-of-the-art research into production-ready systems at scale.
- You execute training and evaluation cycles on large-scale datasets, from data curation and representation learning to error diagnosis and model optimization.
- Additionally, you drive the integration of backbone and foundation models into BMW's autonomous driving perception and planning stack, ensuring robustness across diverse markets and operational design domains.
- You evaluate and advance state-of-the-art methods in self-supervised learning, multi-modal fusion, and end-to-end architectures for real-world deployment.
- Furthermore, you contribute across the full development lifecycle, from early-stage research prototyping to series release, with direct impact on customers worldwide.
Unsere Erwartungen an dich
Ausbildung
- University degree in Computer Science, Data Science, Machine Learning, Mathematics, Physics, or comparable qualifications.
Qualifikationen
- Strong knowledge of current state-of-the-art approaches in autonomous driving perception, end-to-end architectures, and foundation or backbone model architectures.
- Demonstrated ownership in a mature AD/ADAS, robotics, or large-scale autonomy stack, with measurable delivery impact.
- A visionary mindset with the ability to anticipate trends, challenge conventions, and drive architectural decisions for next-generation autonomous driving systems.
Erfahrung
- Several years of hands-on experience in ML model development for perception, autonomous driving, or comparable vision systems, ideally in an industry setting.
- Proven production experience with machine-learning frameworks such as PyTorch or TensorFlow, including training on large-scale datasets and programming skills in Python or C++.
- Deep expertise in large-scale model development, including training, evaluation, error analysis, and optimisation across different ODDs and markets; experience in safety-critical or regulated environments is a plus.
Unser Angebot
- Challenging projects with which we shape the mobility of tomorrow together.
- Wide range of personal and professional development opportunities.
- Attractive, fair and performance-related remuneration.
- High level of job security.
- Annual special payments such as vacation pay, Christmas bonus, and profit sharing.
- Flexible working hours including six weeks annual leave and overtime compensation.
- Discounted BMW & MINI conditions.
- Many other benefits at bmw.jobs/benefits.
Benefits
Work-Life-Integration
Gesundheit, Fitness & Fun
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
BMW AG
Weltweit führend in der Premium-Klasse: Ob Automobile, Motorräder oder Finanz- und Mobilitätsdienstleistungen - die Marken BMW, MINI, Rolls-Royce und BMW Motorrad stehen für höchste Qualität.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Fahrzeugbau, Zulieferer, Industrie, Produktion
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Senior ML Engineer - Autonomous Driving
- Ort
- München
- Arbeitsmodell
- Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
