Senior Machine Learning Engineer: 3D Generative AI

Genies is an avatar technology company powering the next era of interactive digital identity through AI companions. The Senior Machine Learning Engineer will design, develop, and deploy machine learning models for creating high-quality 3D assets, collaborating with engineering and creative teams to enhance the avatar creation ecosystem.

Responsibilities

• Collaborate with R&D and Application teams to integrate AI/ML solutions into our avatar creation ecosystem, leveraging advanced 3D computer vision (CV) and computer graphics (CG) techniques.
• Design, train, fine-tune, accelerate, optimize, and deploy ML models and technical frameworks.
• Utilize a strong understanding of computer graphics pipelines, computational geometry, and 3D principles to synthesize meshes, images, and/or motion.
• Apply practical expertise in implementing white paper concepts to develop user-facing creative technologies.
• Manage ML framework resources and infrastructure, including dataset management, client/cloud computing options, experiment tracking and model deployment techniques.
• Partner with Product and Creative teams to refine AI/ML-powered creation tools and interfaces.
• Communicate technical decisions and project updates to stakeholders such as engineers, designers, and product managers.
• Stay up-to-date on emerging technologies in AI and advise on their strategic integration into innovative solutions.

Skills

• Master’s degree or higher in Computer Science, Computer Graphics, or a related field with a strong emphasis on machine learning and artificial intelligence.
• Minimum of 3 years of professional industry / research experience in machine learning, computer vision, or computer graphics.
• Proficiency in Python programming and extensive experience with AI/DL Frameworks (e.g. PyTorch, TensorFlow)
• Experience in multimodal training for 3D computer vision and graphics, such as: Generative models (e.g., diffusion, GANs, VAEs, flow-based), Advanced architectures like Transformers, Vision Transformers (ViT), Diffusion Transformers (DiT), and Mixture of Experts (MoE).
• Excellent teamwork skills, effective in working with cross-functional teams and engaging stakeholders.
• Ability to communicate complex ideas to non-technical audiences.
• Background in computer graphics, computational geometry, and 3D principles is a plus.
• Industry experience with AI-driven content creation as it relates to games or animation, including: 3D reconstruction, Object and body tracking, 3D geometry analysis (segmentation & tagging), Generative models for avatars and textures, Avatar behavioral systems.
• Experience with volumetric differentiable rendering techniques using Neural Radiance Fields (NeRF) or Gaussian Splatting, including scene representation learning, novel view synthesis, and integration with neural rendering pipelines.
• Experience training and scaling large machine learning models, including optimizing training pipelines, managing compute resources and deploying models to production.
• Hands-on experience with ML infrastructure, such as distributed training, data pipelines, model versioning, and experiment tracking.
• Publication track record at top conferences (e.g., SIGGRAPH, CVPR, NeurIPS, ECCV, ICCV, ICML).
• Contributions to popular open-source machine learning projects.

Benefits

• Comprehensive health insurance for you and your family (Anthem + Kaiser Options Available)
• Dental and Vision Insurance
• Competitive salaries and 401K program for all full time employees
• Flexible paid time off, sick time, and paid company holidays, in addition to paid parental leave, bereavement leave, and jury duty leave for full-time employees
• Health & wellness support through programs such as monthly wellness reimbursement
• Working in a brand new, bright, open-environment and fun office space - there’s even a slide!
• Choice of MacBook or windows laptop

Company Overview

Company H1B Sponsorship