Stability AI

Research Scientist

• Conduct original research in generative AI for professional creative workflows across image, video, 3D, vector graphics, and design.
• Develop new methods that advance the state of the art while remaining relevant to real creative and production workflows.
• Publish research at leading academic venues where appropriate, while also contributing to high-impact internal projects.
• Explore multimodal generative systems that integrate image, video, 3D, vector graphics, and design, with an emphasis on controllability, editability, and reusable asset creation.
• Translate research insights into prototypes, experiments, and model capabilities that can inform product direction.
• Work with researchers, engineers, designers, and product teams to identify important research problems with meaningful downstream impact.
• Design datasets, benchmarks, and evaluation protocols for professional workflows where quality, editability, consistency, brand adherence, and production usefulness matter.
• Stay at the frontier of generative media research and identify opportunities to combine ideas across computer graphics, vision, language, video, and creative tooling.
• Contribute to a research culture that values technical depth, intellectual breadth, publication quality, and practical relevance.

Research Scientist, Professional Creative Workflows

Full-stack Engineer

• Select and own the stack for the Music & Audio vertical: CDP, product analytics, lifecycle/messaging, experimentation, warehouse, reverse-ETL, and entitlements — including writing defensible recommendations with cost model and tradeoffs
• Design event taxonomy with consistent schema and identity resolution across anonymous → free → paid → multi-device
• Build and attribute the full growth funnel across paid, organic, partner, and in-product virality
• Architect in-app PLG motion: viral loops, referral mechanics, upgrade prompts, and sharing hooks
• Define and execute lifecycle marketing strategy: segmentation, behavioral triggers, and messaging cadences across activation, habit, and expansion
• Ship free-to-paid logic: trial mechanics, paywalls, in-app messaging, and entitlement checks across web and native runtimes
• Build onboarding, churn-risk, reactivation, and win-back sequences
• Instrument A/B experimentation with exposure logging and statistical guardrails
• Own the growth dashboard: activation, conversion, ARPU, LTV, retention cohorts, and expansion rate

Research Scientist, Professional Creative Workflows

Senior Product Engineer – Growth & Lifecycle Infrastructure, Music & Audio