Sr Staff Machine Learning Engineer, ML Platform

At Apple we work every day to create products that enrich peoples lives. Apple Ads makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Today our technology and services power advertising in Search Ads App Store and Apple News. Our platforms are highly-performant deployed at scale and setting new standards for enabling effective advertising while protecting user Machine Learning Platform teams mission is to empower teams at Apple Ads to easily and rapidly develop deploy and operate innovative ML applications at scale by providing a self-serve unified platform with foundational infrastructure in model training inference and agentic AI as well as associated data and application services. nnAre you a results-oriented and versatile engineer who can excel in an Agile environment You will work closely with other ML engineers and scientists to design develop and build world-class platform capabilities that will enable Apple Ads teams to improve and scale our ML features models and applications.

The ML Platform team is responsible for bringing numerous features to advertisers and consumers while simultaneously supporting scalable modeling and continuous experimentation by all Apple Ads teams. As a key contributor to this team you will design and develop model training and fine-tuning infrastructure at scale. You will enjoy building high-performing elegant machine learning systems from the ground up in close partnerships with various teams both within and outside Apple Ads. You will also possess keen judgment in selecting technologies and building the right solution for the interesting challenges we get to tackle here. You will have the opportunity to define and refine architectures to meet the unique ad network challenges we must solve. You will play a meaningful role building machine learning products which deliver on Apples privacy commitments and change the way advertising works with us and contribute to a culture that emphasizes reliability simplicity and scalability. You will join a team of world-class machine learning engineers hungry to apply leading-edge technologies to deliver extraordinary experiences to our customers. We are one team nurturing each others growth and supporting each other in delivering for our customers!n

Experience building shared ML platforms frameworks or services used by multiple teams or understanding of the ML lifecycle including training pipelines evaluation methodologies and deployment understanding of deep learning architectures (Transformers LLMs DNNs) and training frameworks (TensorFlow PyTorch)nPrior experience applying ML at scale in Ads recommender systems information retrieval or related experience in distributed training at scale and optimization techniques like model pruning compression quantization u0026 experience building AI/ML tooling for model fine-tuning and training and/or infrastructure at scale nAbility to communicate effectively both written and verbal with technical and non-technical multi-functional teamsnResults oriented with strong technical leadership skills and a desire to work in a fast-paced collaborative work environmentnCurious business attitude with a proven ability to seek projects with a sense of ownership.

Prior experience in privacy-preserving ML using techniques such as federated learning and differential privacynExperience with LLM training and inference pre-training SFT verifiable RL rewards inference-Familiarity with Agentic AInPhD/MS/BS in Computer Science or related field with 10 years of industry experience in building ML systems