Experience writing mission-critical code for production machine learning systems Experience building ML infrastructure, frameworks or services used by multiple teams Experience building SDKs, API, and automation UIs used by development teams Proven experience building automation and CI/CD Passionate about improving the developer experience for AI/ML practitioners Solid understanding of the ML lifecycle: training, evaluation, deployment and serving/inferencing, with working experience building and deploying models Solid understanding of model evaluation, train-serve skew and data drift Working knowledge of deep learning architectures and training frameworks such as PyTorch or TensorFlow Prior experience applying ML at scale in advertising, recommender systems, information retrieval or related domains Strong problem solving, debugging and performance tuning skills Results oriented, with the ability to communicate effectively, both written and verbal, with technical and non-technical multi-functional teams Product-minded with a proven ability to seek projects with a sense of ownershipExperience in advertising industry Experience with distributed training and/or optimizing large-scale models for low-latency serving Experience building infrastructure for diverse sets of model development use cases including LLMs, multimodal models, classical ML, and reinforcement learning. You will work closely with ML engineers and scientists to design, develop, and build world-class platform capabilities that will enable Ads teams to improve and scale our ML features, models, and applications.