Senior Applied AI Engineer

Senior Applied AI Engineer

SPREAD ENTHUSIASM. SHAPE THE FUTURE. SHARE YOUR PASSION. Knowing the destination isn't enough: you need to know how to get there. Build up your own networks, exploit new ideas, consistently take the initiative. Inspire other people with your enthusiasm. That's the only way to give ideas the power that allows them to become true innovations. As an independent group of companies, the BMW Group has a commitment to creativity and breakthrough ideas that goes well beyond the racetrack. In order to continuously create ultimate driving machines, we drive our growth and design excellence by staffing our teams with individuals who are innovative and always looking for the next great idea. If you share our vision and view yourself as an independent, creative thinker, we invite you to join our team in this exceptional role located in Mountain View, CA.

WHAT AWAITS YOU.

• 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.

WHAT YOU SHOULD BRING.

• 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.

WHAT YOU CAN LOOK FORWARD TO.

• 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
• Relocation assistance is available for this position.
• In support of BMW Group's business objectives, this position requires regular onsite attendance at a BMW office/facility with remote work capability (hybrid).
• The expected salary range for this position is $169,018.00 – $234,637.00. The selected candidate's education, skills, experience, and location will be used to determine the final salary offer.
• All pay ranges are based on a full-time work schedule. This statement is in accordance with state and local pay disclosure requirements.
• As part of the hiring process, you may be required to successfully pass a background check.