Stability AI

Research Scientist focused on training and fine-tuning large Vision-Language and Language Models (VLMs/LLMs) for multimodal tasks involving vision, language, and 3D. The role involves designing and implementing training/evaluation pipelines, analyzing model performance, and collaborating on bringing models to production, with an emphasis on publishing research.

Stability AI is seeking a Generative AI Inference Engineer to join their Inference team. The role focuses on developing and running inference for multi-modal generative AI models, with an emphasis on optimization techniques and deployment. The engineer will work with researchers and engineers, leveraging high-performance computing resources and partnering with cloud providers to deliver hosted inference solutions.

Research Scientist focused on 3D generation using flow matching and diffusion models, aiming to create consistent, editable, and physically grounded 3D assets and scenes. Responsibilities include research, designing training pipelines, developing conditioning techniques, analyzing model behavior, and publishing results.

This role focuses on pre-sales technical consulting for enterprise accounts, translating Stability AI's generative models into business solutions. It involves leading discovery, architecting integrations, prototyping demonstrations, and partnering with research/ML engineering teams to deliver AI-driven workflows. The goal is to drive adoption of Stability AI's models and platform within large organizations.

Director of Data Strategy & Operations at Stability AI, responsible for the end-to-end lifecycle of data acquisition and management for foundation models across various modalities (3D, video, image, audio). This includes data sourcing, technical and operational management of large-scale datasets, legal and compliance oversight, and vendor/project management, ensuring data aligns with model training needs and company roadmap.