Engineering Manager, Machine Learning / Los Angeles On-site / Full-time

Motion Recruitment

Los Angeles, CA

Full Time

Director

8 days ago

Job Description

About the Role

We're hiring a full-time Engineering Manager, Machine Learning to join the Los Angeles team, with flexibility for hybrid work. The company is redefining digital expression through cutting-edge AI avatars and game technologies, powering immersive, UGC-driven virtual experiences. The company's mission is simple but ambitious: empower anyone to create anything, and make sure it all works seamlessly together. At the heart of the platform is a proprietary avatar framework that fuses machine learning, 3D graphics, and real-time systems to unlock creative freedom and social interaction at scale. In this role, you'll lead a skilled group of ML engineers working on expressive, high-performance AI avatars. From concept to production, you'll drive innovation across our ML stack, integrating generative AI with interactive and graphical systems. This position is perfect for someone passionate about building at the intersection of creativity and AI in the metaverse.

Key Responsibilities

Lead the development of core ML systems behind next-gen avatars
Support and mentor a high-impact ML engineering team
Align cross-disciplinary efforts between product, design, and graphics
Shape and prioritize the machine learning roadmap
Foster a team culture that emphasizes creativity, iteration, and engineering excellence
Drive model development for lifelike AI avatars
Guide a team of engineers through technical and professional growth
Define system goals and ensure smooth integration with adjacent tech stacks
Encourage innovation through hands-on support and strategic guidance
Balance execution, innovation, and team wellbeing

Requirements

8+ years working in machine learning or closely related disciplines
2+ years managing technical teams or leading engineering initiatives
Degree in Computer Science, Data Science, Statistics, or a related area
Proven track record of deploying machine learning models into production
Expertise in ML models for 3D graphics, including mesh manipulation, texture generation, and rendering workflows
Solid grasp of generative AI techniques such as Diffusion, VAEs, GANs, and NeRF
Experience with natural language and large language models (LLMs)
Familiarity with game engines like Unity or Unreal for real-time rendering
Strong C++ or CUDA skills for optimizing ML-heavy rendering pipelines