Senior Software Engineer, Navigation Intelligence & Applied ML

What you'll do

• Design, build, and maintain navigation features, services, and ML models for Apple Maps.
• Integrate efficient, reliable ML solutions into C++ backend and on-device environments; build pipelines to evaluate and improve models.
• Collaborate across product, design, routing, data science, and engineering, and contribute to reviews, architecture, and product direction.

What they ask for

• BS, MS, or PhD in Computer Science, Machine Learning, Mathematics, or a related field, with strong industry experience building large-scale, production-grade ML applications.
• Proven experience applying machine learning to complex customer-facing problems such as personalization, recommendation, contextual AI, or sequence modeling.
• Ability to write complex, high-performance, clean, maintainable C++ solutions.
• Solid understanding of algorithms, data structures, and software architecture.

Nice to have

• Experience applying ML to navigation, geospatial data, or time-series context; or familiarity with privacy-preserving ML approaches.
• Experience with deep learning frameworks, Python tools, data pipelines, scalable architectures, or cloud-native infrastructure such as Spark, Kafka, or Kubernetes.

Pay

$184,700 and $324,800 (base salary range; USD)

Tools

C++, Python, Spark, Kafka, Kubernetes, macOS, Linux

AI focus

Apply machine learning, from heuristics to deep learning, to personalize navigation and adapt guidance to user context and real-time conditions, with a privacy-first approach.