Senior Machine Learning Engineer
ADUS-AdobeOur Company
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Job Description
We're looking for a Machine Learning Engineer who will be responsible for inventing and delivering functionality across Adobe's suite of creative products that radically simplifies typographic decisions and processes for our users.
Typography has been at Adobe's core since it was founded almost 40 years ago. Today, we have millions of Creative Cloud users who design with text across our apps. Designing high impact text is one of the most important aspects of beautifully designed work, but it's also one of the most complicated and least understood areas of design.
The Adobe Fonts & Type team's goal is surfacing the power of fonts along with smart and intuitive typographic tools to make type simple.
What You'll Do:
You will be responsible for helping us set the technical and research direction, making architectural decisions, and implementing complex systems.
Design, architect and build data insight tools and models for improving Typographic layout with Generative AI
Ability to convert a research idea/paper to code in Python and typical machine learning development toolkits.
Work directly with Design and Product Management to iterate on and refine algorithms that power automatic typographic layout and styling.
Coordinate with cross-functional teams to conduct evaluation studies with multiple iterations of algorithmic and generative intelligence models
Maintain and troubleshoot the production environment.
Perform code reviews, code hygiene, bug triages and provide feedback on features, technology, architecture, designs.
Write automation scripts for testing and for classifying training data for training generative models.
Analyze and improve the efficiency and scalability of web applications.
Embrace and extend modern development practices, testing methodologies, and tooling to ensure quality and performance in all phases of development.
What You'll Need to Succeed:
Excitement toward building the future of global typography tools.
Experience with machine learning (ML) frameworks such as Scikit Learn, TensorFlow, Pytorch
Experience in state-of-the-art Generative AI technologies, such as GAN and/or diffusion models
Computer vision experience is appreciated in tools and libraries like OpenCV, YOLO, Detectron, and SAM
Image segmentation and masking expertise
A positive attitude toward resolving cross-team conflicts and shifting priorities in a fast-paced dynamic environment.
Ability to work independently and take initiative.
Comfortability in participating in R&D / prototyping projects and technical discussion.
Nice to Have:
Masters or Ph.D. in Computer Science, AI/ML or related fields
Excellent communication and collaboration skills with teams distributed across the globe.
Experience with diffusion models, DiT
Recommendation system design experience
NLP expertise with semantic search, text revival, sentiment analysis, and entity recognition
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In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
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