Machine Learning Engineer — Camera & Photos, Creative Foundations

Machine Learning Engineer — Camera & Photos, Creative Foundations

We're looking for a Machine Learning Engineer and Researcher to join the Creative Foundations team within Camera & Photos. In this role, you won't just implement models — you'll invent them. You'll work at the intersection of cutting-edge ML research and the features that hundreds of millions of people use every day to capture, relive, and share their most meaningful moments.

This is a role for someone who gets excited about turning a theoretical breakthrough into a magical user experience. You'll bridge the gap between what's possible in research and what's shippable in product — translating state-of-the-art advances in image understanding into intelligent systems that feel intuitive and delightful. We're especially drawn to those with a passion for photography and experience with the visual and creative domains that make this work so meaningful.

• MS or PhD in Computer Science, Machine Learning, Artificial Intelligence, Electrical Engineering, Applied Mathematics, Statistics, or a related field — or equivalent practical experience demonstrating deep ML expertise.
• Experience in machine learning, computer vision, or a related field (academic or industry), with a strong portfolio of building and shipping models or publishing research.
• Deep understanding of modern ML architectures and techniques — including (but not limited to) transformers, diffusion models, contrastive learning, multi-modal models, and efficient neural network design and optimization.
• Proficiency in ML frameworks such as PyTorch, and comfort working across the full model lifecycle from research exploration using large-scale data to production deployment.
• Experience with image understanding tasks such as semantic segmentation, scene recognition, image captioning, visual question answering, image aesthetics, or image retrieval.
• Strong fundamental software engineering background

• A track record of creative problem-solving — taking an ambiguous challenge and finding an elegant, sometimes unconventional, ML-driven solution.
• A genuine passion for pushing the boundaries of what's possible with machine learning and a deep curiosity for how intelligent systems can transform everyday experiences.
• Published research at top-tier venues (CVPR, ICCV, ECCV, NeurIPS, ICML, SIGGRAPH, etc.) is valued — but so is a strong portfolio of impactful shipped features or open-source contributions.
• Comfort navigating ambiguity and working in a fast-moving R&D environment where the problem definition evolves alongside the solution.
• A personal connection to photography or visual storytelling — whether through a creative practice, a deep appreciation for the craft, or simply an obsession with what makes a great image.
• Specific computer vision experience in the areas of Semantic Image Understanding, Diffusion for Image Generation, Style Transfer, Computational Photography, Image Enhancement (Super-Resolution, Eenoising, etc.), Aesthetic Quality Assessment, Personalization (Few-Shot Adaptation)