Optimize and scale state-of-the-art generative AI models.
Deploy AI-driven creative tools that empower millions globally.
Solve real-world challenges in AI scalability and production readiness.
Job Responsibilities
Help architect and optimize large-scale foundation model pipelines in Generative AI
Design and develop the GenAI backend services for Firefly, creating GPU optimized, efficient model pipelines that power the generative AI features on Firefly website, PPro, Photoshop, Illustrator, Express, Stock and other applications/surfaces
Collaborate with outstanding Applied researchers and engineers to bring ideas to production
Provide technical leadership and mentorship for junior team members
Explore and research new and emerging ML and MLOps technologies to continuously improve Adobe s GenAI engineering effectiveness and efficiency
Review and provide feedback on features, technology, architecture, designs and test strategies.
What youll need to succeed
Masters or Ph.D. in Computer Science, AI/ML, or related fields or B.Tech and strong experience in AI/ML
8+ years of experience
Excellent communication and technical leadership skills
Experience in tech working with a large number of contributors on time-sensitive and business-critical GenAI projects
Experience in the latest Generative AI technologies, such as GAN, diffusion, transformer models
Strong hands-on experience with large-scale GenAI model pipelines and/or shipping ML features
Strong collaboration skills. Experience with working in a Matrix organization, driving alignment, drawing conclusions, and getting things done
Preferred experience:
Experience training or optimizing models (CUDA, Triton, TRT, AOT)
Experience converting models from various frameworks like PyTorch and TensorFlow to other target formats to ensure compatibility and optimized performance across different platforms
Good publication record in Computer Science, AI/ML, or related fields
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Machine Learning EngineerEmployement Type: Full time