Engineering Manager, Data for Applied AI Models

Join the team redefining what a deeply personal and integrated assistant can be. nnAs part of the Siri organization you will help shape one of the worlds most widely used AI assistants powered by our next-generation of Apple Intelligence with capabilities like personal context understanding and on-screen awareness built with privacy from the ground up. Your work will have direct meaningful impact for users across iOS iPadOS macOS watchOS and is a rare opportunity to build at the intersection of cutting-edge AI and human-centered design shipping technology that is centered around users and their our Data lead you will help craft the future of on-device AI by developing powerful yet compact LLMs that bring personalized private and low-latency experiences to users. This is a high-impact role for a hands-on technical leader who thrives at the intersection of cutting-edge AI development and product delivery.

We are seeking a deeply technical manager to lead our Data team. You will be responsible for understanding and drafting requirements developing annotation tools and workflows and managing the delivery and quality of data. The Data team is an immediate partner to our applied ML team jointly responsible for developing and shipping production models at Apple scale. The huge importance of data on product quality makes this a high-impact role your deliverables will be used to train and evaluate the models we ship. You will use a mix of human annotation and generative AI techniques to deliver high-quality data for each task. Youll collaborate closely with researchers software engineers and product teams to move ideas from prototypes to production. This includes innovative ways to produce scalable efficient and accurate data pipelines that leverage the latest AI has to this role you will manage lead and inspire a team of highly talented and experienced engineers. You will have strong technical communication and people management skills and be responsible for the teams technical direction and execution. Our team values rapid iteration and delivering impactful results. The ideal candidate will have a passion for detail getting things done and delivering high-quality outcomes.

Masters or PhD in Computer Science Machine Learning Engineering or equivalent professional experience.n5 years of hands-on industry experience and a proven track record of shipping ML-powered products or features ideally involving LLMs. Extensive experience with the ML development loop with a focus on data and leadership and team management skills as a manager or tech-lead in communication interpersonal and presentation skills.

Experience creating data for multi-modal foundation models that integrate text vision and/or developing AI agents capable of planning and tool use tasks using generative AI developing ML systems for natural language understanding visual understanding or digital of the latest generative AI development techniques.