Master’s or Ph.D. in Computer Science, Machine Learning, or equivalent industry experience 7+ years of experience in applied machine learning or research-to-product roles 3+ years leading significant technical projects and/or acting as a tech lead Applied technical depth in computer vision for generation/editing, diffusion or other generative model adaptation, model routing/orchestration, multimodal prompting, and tool use Strong practical experience with generative image and/or video models Experience training and evaluating models on cloud GPU platforms (AWS, GCP, or Azure) Experience integrating external model APIs alongside open-source stacks Proven ability to take AI research to production Proficiency using and tuning multimodal LLMs Familiarity with LLMs, CLIP-like architectures, and multimodal embeddings