Machine Learning Engineer designing and deploying production-grade ML models for Adobe's Video APIs. Collaborating with research and product teams to implement innovative AI solutions.
Responsibilities
Lead the design, development, and deployment of production-grade ML models.
Translate research and prototypes into scalable, reliable ML systems running across Adobe’s platforms.
Collaborate with product, research, and infrastructure teams to define technical requirements and deliver high-impact solutions.
Build and optimize pipelines for feature engineering, model training, and real-time inference using modern tools.
Ensure model scalability, reliability, and performance through continuous monitoring, evaluation, and iteration.
Implement model testing, validation, and automated QA pipelines, ensuring reproducibility and compliance.
Contribute to MLOps practices including CI/CD, model versioning, and automated retraining workflows.
Stay ahead of advancements in ML/AI, bringing new techniques and innovations to Adobe’s products.
Requirements
Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or equivalent experience.
6+ years of professional experience building and deploying ML solutions at scale.
Strong programming expertise in Python, with hands-on experience in PyTorch, TensorFlow, or similar frameworks.
Deep understanding of the end-to-end ML lifecycle - from data collection to deployment and monitoring.
Strong grasp of model optimization, inference efficiency, and production system integration.
Proven experience with cloud environments (AWS, Azure, or GCP) with containerized workflows (Docker, Kubernetes).
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