Sr. Machine Learning Engineer 5

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. Firefly Enterprise group is building the next generation of scalable APIs and workflow solutions for Adobe’s enterprise customers. Firefly Enterprise Video API team is looking for a passionate Machine Learning Engineer to enable and accelerate the Video APIs powered by pioneering machine learning models.

In this role, you’ll collaborate closely with ML researchers, product engineers, and infrastructure teams to take ML models from experimentation to full-scale deployment, bringing groundbreaking AI experiences to our usersWhat You’ll DoLead 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. 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.