Machine Learning Engineer, Generative AI (Image & Video) joins the Consumer Gen AI Product MLE team to develop ML products and AI Lenses for millions of daily users. The role focuses on image and video generation, editing, and LLMs, specifically building augmented reality experiences using diffusion and flow matching models. You will build state-of-the-art generative AI pipelines, prototype new ideas with cross-functional teams, and evaluate open-source models and third-party APIs to inform build-versus-buy decisions. The ideal candidate possesses a strong background in machine learning, deep learning foundations, and mathematics. Required technical skills include proficiency in Python or C++ and experience in areas such as neural rendering, segmentation, object detection, or computer vision. Preferred qualifications include knowledge of computer graphics and experience evaluating the visual quality of generative models for image and video content.
What does a Machine Learning Engineer earn?
Median $236000 from 319 postings across 54 companies.
Machine Learning
Computer Vision
Generative AI
Python
PyTorch
C++
Diffusion Models
3D Reconstruction
Neural Radiance Fields
3D Gaussian Splatting
Differentiable Rendering
Distributed Training
On-device ML