BMW Group
Senior AI ADAS Engineer(m/w/x)
Full-timeOn-siteSenior
München
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BMBMW Group
Senior Applied AI Architect - Automated Driving(m/w/x)
München
Full-timeOn-siteSenior
AI/ML
Nejo AI Summary
Developing advanced ML architectures for automated driving systems. At least five years of AI/ML model deployment and scaling experience required. Six weeks annual leave, overtime compensation, and Christmas bonus.
Requirements
- University degree in Computer Science, Data Science, AI, Mathematics, Physics, or comparable qualifications
- At least five years of professional experience in developing, deploying, and maintaining AI/ML models in a business or industrial setting
- Proven success in bringing models from research or prototype stage into productive, value-generating operations
- Experience working within agile, cross-functional teams with a strong sense of ownership and delivery focus
- Strong expertise in prediction and perception
- Strong expertise in planning
- Strong expertise in end-to-end learning
- Strong expertise in vision-language-action models
- Strong expertise in world models for driving
- Strong expertise in reinforcement learning
- Strong expertise in fine-tuning of vision-language-models
- Strong expertise in machine learning safety concepts
- Hands-on experience with Python-based ML stacks and production environments
- Thorough understanding of automated driving functions and their typical software stack
- Very good written and spoken English skills
- Knowledge of German, both written and spoken, is an advantage
Tasks
- Develop advanced machine learning architectures
- Shape ML development scaling
- Conduct independent research
- Identify technology gaps
- Contribute to closing gaps
- Implement technical concepts and prototypes
- Collaborate with industrial and academic partners
- Engage with start-ups
- Discuss with university researchers
- Draft research plans
- Contribute to product and feature roadmap
Work Experience
- 5 years
Education
- Vocational certificationOR
- Bachelor's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- AI/ML models
- Python
- automated driving functions
Benefits
Flexible Working
- Flexible working hours
More Vacation Days
- 6 weeks annual leave
Competitive Pay
- Overtime compensation
Bonuses & Incentives
- Christmas bonus
- Profit sharing
Diverse Work
- Challenging projects
Learning & Development
- Personal development opportunities
- Professional development opportunities
Job Security
- High job security
Corporate Discounts
- Discounted BMW & MINI conditions
Other Benefits
- Many other benefits
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of BMW Group and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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BMBMW Group
Senior Applied AI Architect - Automated Driving(m/w/x)
München
Full-timeOn-siteSenior
AI/ML
Nejo AI Summary
Developing advanced ML architectures for automated driving systems. At least five years of AI/ML model deployment and scaling experience required. Six weeks annual leave, overtime compensation, and Christmas bonus.
Requirements
- University degree in Computer Science, Data Science, AI, Mathematics, Physics, or comparable qualifications
- At least five years of professional experience in developing, deploying, and maintaining AI/ML models in a business or industrial setting
- Proven success in bringing models from research or prototype stage into productive, value-generating operations
- Experience working within agile, cross-functional teams with a strong sense of ownership and delivery focus
- Strong expertise in prediction and perception
- Strong expertise in planning
- Strong expertise in end-to-end learning
- Strong expertise in vision-language-action models
- Strong expertise in world models for driving
- Strong expertise in reinforcement learning
- Strong expertise in fine-tuning of vision-language-models
- Strong expertise in machine learning safety concepts
- Hands-on experience with Python-based ML stacks and production environments
- Thorough understanding of automated driving functions and their typical software stack
- Very good written and spoken English skills
- Knowledge of German, both written and spoken, is an advantage
Tasks
- Develop advanced machine learning architectures
- Shape ML development scaling
- Conduct independent research
- Identify technology gaps
- Contribute to closing gaps
- Implement technical concepts and prototypes
- Collaborate with industrial and academic partners
- Engage with start-ups
- Discuss with university researchers
- Draft research plans
- Contribute to product and feature roadmap
Work Experience
- 5 years
Education
- Vocational certificationOR
- Bachelor's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- AI/ML models
- Python
- automated driving functions
Benefits
Flexible Working
- Flexible working hours
More Vacation Days
- 6 weeks annual leave
Competitive Pay
- Overtime compensation
Bonuses & Incentives
- Christmas bonus
- Profit sharing
Diverse Work
- Challenging projects
Learning & Development
- Personal development opportunities
- Professional development opportunities
Job Security
- High job security
Corporate Discounts
- Discounted BMW & MINI conditions
Other Benefits
- Many other benefits
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of BMW Group and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
BMW Group
Industry
Automotive
Description
Das Unternehmen bietet spannende Praktika im Bereich Markenerlebnis und Eventmanagement und legt großen Wert auf Gleichbehandlung und Chancengleichheit.
Not a perfect match?
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