Salary: 65.000 - 108.000 € per year Requirements: We require a university degree in Computer Science, Engineering, or a related field. We require several years of experience in applied machine learning and model engineering. We require proficiency in PyTorch and Transformers frameworks. We require expertise in model compression, alignment, and fine-tuning of small GenAI and ML models. We require experience building evaluation suites and performing statistical analysis of model behaviour. We require practical knowledge of edge device constraints such as RAM, bandwidth, cache, and cold start. We require professional English proficiency; German is a plus. We value a hands-on mentality, strong problem-solving skills, and excellent cross-functional communication. Responsibilities: We select and adapt base models for voice assistant and intelligence tasks. We produce clean, reproducible training, finetuning, and evaluation pipelines to refine models for the problem at hand. We implement compression strategies such as quantization, pruning, and distillation to enable cost-efficient inference. We collaborate with performance engineers on hardware-aware model variants and performance. We co-own latency and memory KPIs and deliver models that meet budget requirements on the target hardware. We document design choices, trade-offs, and model cards for audits and compliance. Technologies: Hardware Machine Learning PyTorch Security AI More: We are an international team of experts shaping the future of intelligent mobility by developing and refining edge GenAI models for the BMW Intelligent Personal Assistant. We deliver customer impact through innovative model engineering and robust data pipelines. At BMW Group, we offer challenging projects shaping the mobility of tomorrow, a wide range of personal and professional development opportunities, attractive fair and performance-related remuneration, high job security, annual special payments including vacation pay, Christmas bonus, and profit sharing, flexible working hours with 6 weeks annual leave and overtime compensation, discounted BMW & MINI conditions, and many other benefits. The position is full-time, unlimited, and starts from now on. We are committed to equal treatment and equal opportunities, and our recruiting decisions are based on personality, experience, and skills. last updated 23 week of 2026