Headquarters: Remote Research Scientist, Professional Creative Workflows<REMOTE>    About the Role We are seeking a highly motivated Research Scientist to join our Research team. The role focuses on advancing the next generation of generative AI systems for professional creative workflows, spanning image, video, 3D, vector graphics, and design. This is a general research role with room for academic publication, long-horizon exploration, and technically ambitious work, while remaining grounded in real projects with meaningful product impact. The ideal candidate can move fluidly between frontier research, rigorous experimentation, and prototype systems that inform how professional creators work with generative AI. We are looking for a broad, technically deep researcher who can combine ideas across fields and modalities, connecting concepts from areas such as computer vision, graphics, generative modeling, and design to address complex creative workflows. You will work on research that enables creators and enterprises to generate, edit, structure, refine, and reuse visual assets across modalities, supporting workflows in which different forms of media and design intent work together rather than as isolated generation tasks. Responsibilities 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. Qualifications Strong academic research track record in computer vision, computer graphics, machine learning, generative modeling, computational imaging, visual computing, or a related field. PhD or equivalent research experience in Computer Science, Machine Learning, Computer Graphics, Computer Vision, or a closely related discipline. Demonstrated ability to conduct original research, publish papers, and build working systems or prototypes. Experience in generative and multimodal modeling, including areas such as diffusion models, transformers, 3D generation, neural rendering, inverse rendering, video generation, image editing, controllable generation, or design automation. Broad technical background across several of the following areas: Generative image models Video generation or video editing 3D asset generation, reconstruction, neural rendering, or geometry processing Differentiable rendering, inverse rendering, materials, lighting, or relighting Vector graphics, layout, typography, or design systems Multimodal representation learning Professional media, VFX, games, e-commerce, design, or creative tooling Strong programming skills in Python and PyTorch, with the ability to implement, adapt, and extend modern research code. Ability to reason about both research quality and workflow quality, including controllability, iteration speed, editability, consistency, reliability, and integration into existing creative processes. Strong communication skills, with the ability to explain research ideas clearly to both research and product-oriented collaborators. Evidence of creative technical judgment: the ability to combine ideas from different fields into new research directions rather than only incrementally improving existing systems. Highly Desirable Publications at top-tier venues such as CVPR, ICCV, ECCV, SIGGRAPH, SIGGRAPH Asia, NeurIPS, ICLR, ICML, or related venues. Research experience spanning more than one modality, especially across image, video, 3D, vector graphics, design, or multimodal generation. Experience with professional creative domains such as VFX, games, animation, product visualization, advertising, graphic design, or 3D asset production. Experience with controllable generation, layered image editing, material and lighting decomposition, multi-view consistency, relightable assets, vector-aware generation, or structured design outputs. Experience building research prototypes that influence product direction or enable new product capabilities. Equal Employment Opportunity We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or other legally protected statuses.   To apply: https://weworkremotely.com/remote-jobs/stability-ai-research-scientist-professional-creative-workflows

Headquarters: Los Angeles, CA or Remote (United States) Stability AI is a community and mission-driven, open artificial intelligence company that cares deeply about real-world implications and applications. Our most considerable advances grow from our diversity in working across multiple teams and disciplines. We are unafraid to go against established norms and explore creativity. We are motivated to generate breakthrough ideas and convert them into tangible solutions. Our vibrant communities consist of experts, leaders, and partners across the globe who are developing cutting-edge open AI models for Image, Audio, Video, and 3D. As the Senior Product Engineer, Growth & Lifecycle Infrastructure, you will own the ground-up build of PLG growth and lifecycle infrastructure for our music and audio products — greenfield across web, desktop, plugin, and mobile. You'll choose the stack, design the event model, wire the integrations, and run the system. The output is a measurable, attributable funnel from anonymous visitor to paying customer to expanded account. This role sits at the intersection of growth marketing, product lifecycle, and community-driven PLG — the systems, how they live inside the product, and how they drive real conversion. What you'll do… 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 What you'll bring… 6+ years of end-to-end ownership of product or growth infrastructure inside a B2C or PLG B2B company Deep expertise in growth marketing and product lifecycle marketing — you walk in knowing how to implement it, not just what it is Hands-on production experience across the modern martech stack: CDPs, product analytics, lifecycle/messaging, billing, reverse-ETL, and transformation layer Proven ability to ship in-app PLG mechanics where the product itself drives growth Proficiency in TypeScript, Node.js, Python, and SQL  Fluency with AI-augmented development tools in daily workflow (Claude Code, Cursor, Codex, or equivalent) Experience building event taxonomies that hold up without schema drift A history of shipping paywall and entitlement logic in production where revenue depended on it Comfort operating without a product manager: setting milestones, owning the schedule, and escalating when needed Not dealbreakers, but great if you had… Experience with B2C subscriptions in creative tools, music, or design Exposure to music or creative-platform go-to-market motions Open-source contributions to data tooling Experience as the first PLG/growth engineer at a company A track record of building in public: Product Hunt, YC network, or active presence on X or Reddit What success looks like… Day 30: Stack chosen and approved, contracts signed, identity resolution working in development, event taxonomy v1 drafted Day 60: Full event taxonomy live across primary surfaces, first lifecycle sequence in production, baseline dashboard up Day 90: Paywall and entitlement logic in production, attribution closing the loop on at least one paid channel Day 120: Experimentation framework in active use, first growth experiment results read out to leadership   Equal Employment Opportunity: We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses. To apply: https://weworkremotely.com/remote-jobs/stability-ai-senior-product-engineer-growth-lifecycle-infrastructure-music-audio

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