Engineering Manager, Model & Algorithm Evaluation & Quality, Sensing & Connectivity

Hardware FYI; Cupertino (CA); On-site; USD 230,000 - 340,000; Full time

Job summary

Apple in Cupertino seeks a leader for the Sensing and Connectivity - Location Context team. You will guide the development of ML-driven location intelligence features across iOS and watchOS, shaping experiences in Maps, Fitness, Journal, and beyond.

You will build and grow a team, ensure model validation, and own the end-to-end quality of sensing and contextual ML components powering user insights.

Responsibilities

• Lead ML-driven location intelligence features across iOS and watchOS.
• Shape products by validating models and coordinating cross-functional teams.
• Own the quality of sensing and contextual ML components delivering user insights.

Skills

Machine learning

Leadership

Team management

Location context

Multimodal sensing

Job description

Join the Sensing and Connectivity - Location Context team that powers critical experiences in Apple products. Our team works on providing personalized insights from users' daily patterns through multimodal sensing and AI models. This team combines advanced machine learning, including integration, adaptation, and tuning of foundation models, with contextual sensing, bolstered by innovative study design, to derive user insights for Maps and Fitness applications, Journal — among many more.

As the leader of this team, you will have the rare and rewarding opportunity to shape upcoming products that will delight and inspire our customers. You and your team will own the quality of cutting-edge location intelligence features powered by ML models across various operating systems, including iOS and watchOS. We develop science-backed designs of AI/ML models that capture the complex interplay of human health and behavior, providing valuable insights directly to our customers. We foster innovation and embrace new technology to enhance our creative capabilities. We are seeking a manager who pairs a working understanding of ML with a track record of building and growing teams that validate these models and the supporting software.
If this is you, we would be delighted to hear from you.