Machine Learning Manger / 3D Virtual Assets / Los Angeles, CA

Our client is an AI Virtual Assets & Gaming company enabling next-gen digital experiences through user-generated content. Their tech stack empowers creators to build customizable AI 3D models and take park in immersive experiences across multiple platforms. They're backed by substantial funding and having established valuable partnerships and branding relationships. Based in Los Angeles, CA, they are looking for someone who is willing to come to Hybrid 3 days a week. They're hiring a Machine Learning Manager who can lead a team to developing ML models for 3D virtual assets and to support user generated content. This role will balance technical leadership and hands-on development, focusing on areas like deep learning, generative models, ML-powered rendering, and real-time graphics engines for gaming purposes. The ideal candidate will bring over five years of machine learning experience, with several years of experience in a leadership role, strong production ML deployment skills, and a background in 3D graphics, generative AI, or real-time rendering technologies. This role will lead a dedicated team of machine learning engineers focused on developing models for AI avatars, generative content tools, and 3D asset optimization. The team's work spans deep learning, generative models, ML-powered rendering, and real-time graphics integration. It's a collaborative, cross-functional group that partners closely with graphics engineers, product teams, and platform developers to bring AI-driven avatar and gaming experiences to life. Required Skills & Experience

• 5+ years in machine learning, several in a leadership roles
• Strong ML production deployment experience
• Deep learning & generative models
• 3D graphics optimizations like meshes, textures, and rendering
• Real-time graphics engines for gaming
• Proficient in C++ or CUDA for ML-powered rendering
• Familiarity with NLP/LLM trends

What You Will Be Doing Tech Breakdown

• 40% Machine Learning Model Development & Optimization
• 25% ML Infrastructure & Production Deployment
• 20% Technical Leadership & People Management
• 10% Cross-Functional Collaboration
• 5% Research & Emerging Technology Exploration

Daily Responsibilities

• Lead and support a team of machine learning engineers through project planning, code reviews, and technical mentorship
• Oversee the design, training, and deployment of machine learning models for AI avatars, generative content, and 3D optimization
• Collaborate with product managers, graphics engineers, and platform teams to integrate ML models into real-time applications
• Monitor system performance, model accuracy, and operational efficiency, making continuous improvements
• Balance hands-on technical contributions with people management and team development
• Stay current with advancements in ML, generative AI, and 3D rendering technologies to inform project direction

The Benefits (Can Discuss in Further Detail)

• Equity
• Medical, Dental, and Vision Insurance
• Uncapped PTO

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.