Senior Applied AI Engineer
About The Position
Translates cutting-edge AI research into production-ready, real-world applications using LLMs, generative AI, and ML models to solve complex business problems with an emphasis on reliability, efficiency, and scalability. Proactively identifies, evaluates, and shapes opportunities in generative and agentic AI; translates research and strategic questions into concrete BMW-focused solutions. Builds clean, reproducible training, fine-tuning, and evaluation pipelines to systematically improve model quality, robustness, and cost efficiency. Applies and advances model compression techniques (quantization, pruning, distillation) to enable efficient inference, including deployment on constrained or edge environments. Collaborates closely with internal stakeholders (headquarters, senior leadership) and external partners to influence strategy, product direction, and technology roadmaps. Designs, architectures, and implements applied AI products and agentic systems, from rapid prototypes to scalable production deployments; scouts emerging technologies and drives process/tooling improvements. Contributes to shaping BMW’s AI strategy and executes joint development projects with internal and external stakeholders worldwide.
Requirements
- University degree in Computer Science, Engineering, or a closely related field.
- Several years of hands-on experience in applied machine learning and model engineering for real-world products.
- Confident in presenting and defending technical solutions to internal and external stakeholders
- Excellent communication skills.
- Excellent problem-solving skills and ability to abstract and break down complex problems in manageable portions.
- Professional working proficiency in English.
- Proven experience designing, implementing, and operating agentic or multi-component AI systems in production environments.
- Strong proficiency in transformer-based architectures.
- Deep expertise in fine-tuning, alignment, evaluation, and compression of small to mid-sized generative and ML models.
- Experience building robust evaluation suites and conducting rigorous analysis of model behavior and failure modes.
- Solid understanding of deployment constraints, including memory, latency, bandwidth, cache behavior, and cold-start performance.
Responsibilities
- Translates cutting-edge AI research into production-ready, real-world applications using LLMs, generative AI, and ML models to solve complex business problems with an emphasis on reliability, efficiency, and scalability.
- Proactively identifies, evaluates, and shapes opportunities in generative and agentic AI; translates research and strategic questions into concrete BMW-focused solutions.
- Builds clean, reproducible training, fine-tuning, and evaluation pipelines to systematically improve model quality, robustness, and cost efficiency.
- Applies and advances model compression techniques (quantization, pruning, distillation) to enable efficient inference, including deployment on constrained or edge environments.
- Collaborates closely with internal stakeholders (headquarters, senior leadership) and external partners to influence strategy, product direction, and technology roadmaps.
- Designs, architectures, and implements applied AI products and agentic systems, from rapid prototypes to scalable production deployments; scouts emerging technologies and drives process/tooling improvements.
- Contributes to shaping BMW’s AI strategy and executes joint development projects with internal and external stakeholders worldwide.
Benefits
- Medical, Dental, and Vision insurance
- 401(k) with Company match and Retirement Income Account
- Employee vehicle program
- Bonus eligibility
- Paid Parental Leave
- Generous PTO and Company paid holidays
- Voluntary Benefits to fit your needs
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What This Job Offers
Job Type
Full-time
Career Level
Senior
