As an ML Engineering Intern, you will analyze stakeholder needs, research models, implement training loops, deploy models for texture generation, and evaluate model performance.

The Senior Backend Engineer will develop backend microservices, design ML infrastructure, and optimize systems while mentoring peers, all contributing to Genies' AI platform expansion.

As a Backend Engineer, you will develop backend microservices, design ML infrastructure, automate deployment, optimize performance, and collaborate on architectural designs.

The Senior Machine Learning Engineer will design and develop ML models for 3D assets, integrating AI into creator tools while collaborating with engineering and creative teams.

Lead machine learning engineers to achieve performance metrics, oversee model development, integrate ML into products, and foster team improvement.

The Product Operations Associate will support production, train and test Smart Avatars, conduct user research, document workflows, and perform QA for AI interactive identity projects.

The intern will research and implement ML models, deploy optimized image and 3D generation models, and evaluate performance while collaborating with the R&D team.

The Head of Product will define the product strategy, manage product teams, ensure quality user experiences, and collaborate cross-functionally to drive product outcomes, focusing on AI and user-generated content.

The Lead Data Engineer will develop data infrastructure, manage event structures, design storage architecture, and mentor engineers for better data practices.