Senior Generative AI Research Engineer (Foundation Models) — Tokyo

About Abbeal Abbeal is an international IT consulting firm (France, Japan, Canada) placing senior engineers on high-impact R&D teams. Through Abbeal, build a custom foundation model for sustainable cosmetics & pharma R&D with a Tokyo-listed group. Context You will build a custom foundation model that generates sustainable cosmetic & pharmaceutical formulations in unsupervised mode, for a Tokyo-listed pharma & cosmetics group. Deep generative AI / foundation-model research, remote-friendly (Tokyo / Paris / remote). English is the working language; Japanese is not required (no JLPT requirement). Your Mission Design and train custom foundation / generative models for molecular & formulation generation Work with GNNs, diffusion models, and unsupervised learning on chemistry data Leverage RDKit / DeepChem and modern deep-learning tooling (PyTorch / JAX) Build RAG and evaluation pipelines around the models Collaborate with R&D scientists to translate research into usable outputs Profile 5+ years (ideally 8–12) in ML / deep learning, with generative or foundation-model experience Strong PyTorch / JAX; GNN, diffusion, unsupervised learning Familiarity with cheminformatics (RDKit / DeepChem) a strong plus Fluent English; Japanese not required Location and Setup Remote-friendly (Tokyo / Paris / remote). Freelance (senior FR/EU day rate) or permanent in Japan via Abbeal KK. Hired and supported by Abbeal (visa sponsorship + Mobbeal expat package). Indicative permanent range ¥14M–¥20M/year depending on experience.