AI Engineering Lead

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

Develop and own the technical roadmap for Raspberry’s creative AI tools Mentor and guide a small team of ML engineers and researchers Design and evolve systems and model orchestration Conduct applied research and rapid experimentation on generative models Prototype and refine end-to-end design workflows Collaborate closely with product, design, and product engineering Evaluate and integrate new techniques, frameworks, and open-source contributions Design and maintain pragmatic evaluation loops Serve as a thought leader on AI innovation