Design, develop, and deploy models and systems that generate and edit designs, working closely with cross-functional teams to ship features that feel effortless to use.
Stay close to the latest deep learning and generative AI research, turning promising techniques into shipped production features.
Build and maintain the infrastructure and pipelines that get generation models into production at scale.
Drive ML/AI strategy across Productivity user journeys, identifying where AI creates the most value.
Toolify existing Productivity functionality so LLMs and agents can complete real user tasks.
Partner with product, design, and engineering teams to shape AI strategy and set technical patterns.
Canva is a design platform that redefines how the world experiences visual content. They have a large global team and a culture that values flexibility, innovation, and inclusion.
Conduct in-depth research into Machine Learning, Deep Learning, and Generative AI.
Identify gaps, limitations, and opportunities in existing research and technologies.
Stay up to date with the latest research papers, models, architectures, and techniques.
ImagineArt is a fast-growing generative AI company building next-generation AI-powered creative tools. We are a small, ambitious team with a research-driven culture exploring cutting-edge AI technologies.
Design, implement, and refine machine learning models to deliver personalized recommendations.
Lead the design of online and offline experiments to validate model performance and make data-driven decisions.
Work closely with product and engineering teams to deploy new recommendation features and drive alignment across teams.
Canva is redefining how the world experiences design by providing a platform for creating stunning visual content. With over 200 million monthly users and a culture of flexibility and innovation, the team is committed to empowering creativity and collaboration.
Lead the technical vision for a scalable AI media production platform, architecting generative AI systems for precision and reproducibility.
Design and deploy modular, version-controlled image and video generation pipelines, integrating advanced control techniques like ControlNet and LoRA training.
Collaborate with creative leaders to build user-friendly workflows that empower non-technical teams to produce high-quality AI-powered content.
Jobgether uses AI-powered matching to connect candidates with job opportunities. This role is for a partner company building a next-generation AI media production platform, with a dynamic international team focused on innovation and collaboration.
Design, develop, and deploy ML models for object detection, scene understanding, and 3D asset placement
Train and fine-tune models on 3D datasets to generate realistic visualizations while preserving image fidelity
Collaborate with graphics and full-stack teams to integrate AI models into the product pipeline
Homekynd builds the spatial intelligence layer for enterprise retail, transforming photos into 3D room models for immersive furniture visualization. We are a remote-first team on a fast build timeline, seeking engineers who want real ownership over hard problems.
Design and build systems that generate synthetic environments for agent training and evaluation.
Build and maintain synthesis models for realistic replacement values at scale.
Build evaluation infrastructure that grades agent outcomes and discriminates between frontier models.
Tonic builds the data infrastructure behind modern AI, generating synthetic environments for agent training and de-identifying enterprise data. Eight years in, the company works with frontier AI labs and hundreds of enterprises, with a culture focused on solving hard data problems and shipping.