Sr. Machine Learning Engineer 5

What You’ll Do

• Lead the design, development, and deployment of GenAI backend services for video, building GPU‑optimized and highly efficient model pipelines.
• Translate research innovations and prototypes into scalable, reliable ML systems across Adobe’s cloud platforms.
• Optimize model and service performance, ensuring scalability, reliability, and robustness through continuous monitoring and iteration.
• Enhance MLOps workflows, including CI/CD, model versioning, evaluation pipelines, and automated retraining systems.
• Collaborate cross‑functionally with product, research, and infrastructure teams to define requirements and deliver high‑impact solutions.
• Stay ahead of the curve, bringing the latest ML advancements into Adobe’s products—from cloud to on‑device optimizations.
• Provide technical leadership and mentorship

What You’ll Need to Succeed

• Master’s or Ph.D. in Computer Science, AI/ML, or related field; or B.Tech with strong, proven ML experience.
• 10+ years of experience in AI/ML engineering, model development, or large‑scale distributed systems.
• Strong programming skills in Python and experience with ML frameworks like PyTorch and TensorFlow.
• Deep expertise in Generative Video AI, including diffusion, GAN, and transformer‑based models—especially in areas such as temporal consistency and multimodal generation.
• Solid understanding of model optimization, inference efficiency, GPU acceleration, and production ML integration.
• Demonstrated success delivering cloud‑scale, data‑driven products with broad customer adoption.
• Strong command of AI/ML fundamentals, frameworks, and modern toolchains.
• Excellent communication, technical leadership, and collaboration skills.
  • Experience working in a matrixed organization, driving alignment, and delivering results.