Machine Learning Engineer, Sr. - WFH Role

About the Company

The company is a well-funded startup developing technology for media generation and digital identity. Its platform enables developers and creators to build customizable characters, digital assets, and AI companions, bringing together generative AI, gaming, and social experiences.

About the Role

The company is seeking a Senior Machine Learning Engineer, Media Generation, to join its growing research and development team. This role focuses on building advanced machine learning systems for generating images, videos, and 3D assets. The engineer will contribute to technologies supporting character creation, digital fashion, and interactive digital experiences, helping shape how users create and express themselves in virtual environments.

Key Responsibilities

• Design, train, and deploy machine learning models for high-quality image, video, and 3D asset generation.

• Apply computer vision and computer graphics techniques to generate meshes, textures, and motion.

• Build and optimize generative models, including diffusion models, GANs, and transformer-based architectures.

• Integrate machine learning systems into user-facing creative tools and applications.

• Collaborate with product, engineering, and creative teams to develop and deliver AI-powered features.

• Manage machine learning infrastructure, including datasets, experiments, and deployment pipelines.

• Monitor emerging research and apply relevant techniques to production systems.

Required Qualifications

• Master’s degree or higher in Computer Science, Machine Learning, Computer Vision, or a related field.

• At least 3 years of experience in machine learning, computer vision, or computer graphics.

• Strong Python programming skills and experience with frameworks such as PyTorch or TensorFlow.

• Experience with generative models, including diffusion models, GANs, and VAEs, as well as modern architectures such as Transformers and Vision Transformers (ViTs).

• Solid understanding of 3D graphics, computational geometry, or related areas.

• Ability to collaborate effectively across teams and communicate technical concepts clearly.

Preferred Qualifications

• Experience with 3D reconstruction, tracking, or geometry analysis.

• Familiarity with neural rendering techniques such as Neural Radiance Fields (NeRF) or Gaussian Splatting.

• Experience scaling machine learning models and optimizing training pipelines.

• Knowledge of distributed training, data pipelines, and experiment tracking.

• Publications or contributions to research or open-source projects.

Location and Work Arrangement

This is a fully remote position.

Compensation and Equity

Compensation is offered up to $300,000, plus equity.