Sr Machine Learning Engineer, Computer Vision, ML Data Platform
Karkidi, San Jose, CA, United States
Our Company
Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
The Opportunity
At Adobe Firefly, we build foundation generative models for image, video, and other modalities that power the suite of products at Adobe. This work is powered by a platform comprised of data, training, and inference infrastructures. We are looking for a world-class ML engineer of computer vision (CV) specialty to lead the data quality, performance, and optimization of this platform. You will research, experiment, develop, and optimize CV algorithms/models that understand, generate and enhance data for training state-of-the-art image and video foundation models.
This is a highly cross-functional role where you will closely work with the training platform, inference platform, Adobe Research, Applied Research, and Adobe Stock teams, among others.
Responsibilities
- Research and develop CV algorithms/models to generate image and video training data for GenAI foundation models.
- Collaborate with researchers and applied researchers to bring research ideas to production.
- Collaborate with data, training, and inference platform teams to optimize, scale up and deliver end-to-end solutions to production.
Requirements:
- Master's or Ph.D. in Computer Science, AI/ML or related fields (research focus on Computer Vision is preferred) with 7+ years industry experience.
- A deep understanding of AI/ML, including ML frameworks, public cloud and commercial AI/ML solutions.
- Deep expertise in computer vision, image processing, video processing, and machine learning for Generative AI.
- Experience with large-scale generative model training, datasets, and infrastructure.
- Experience with large-scale data visualization for images or videos.
- A self-motivated person with excellent communication skills to collaborate with multi-functional teams.