Engineering Manager, Maps Search Intelligence

Apple Apple · Big Tech · Cupertino, CA +1 · Software and Services

Engineering Manager for Apple Maps Search Intelligence team, responsible for leading the design, development, and production deployment of core search algorithms, large-scale ML models, and generative AI systems. The role involves defining the technical roadmap, driving execution across the ML lifecycle, and partnering with product and design teams to shape the future of Maps Search and integrate with Apple Intelligence.

What you'd actually do

  1. Lead the design, development, and production deployment of Maps Search features, including large-scale ML models, deep learning, NLP, and generative AI solutions that power Apple Intelligence.
  2. Define the long-term technical vision and roadmap for the Search Intelligence team, balancing near-term delivery with strategic investment in emerging capabilities.
  3. Partner with product management, design, and platform teams across Apple to align on goals, shape feature direction, and drive shared roadmaps from inception to launch.
  4. Influence product strategy by translating research findings and engineering capabilities into concrete opportunities that improve the Maps experience for users.
  5. Collaborate closely with the Siri team and other cross-organizational partners to integrate Maps Search capabilities into Apple Intelligence features, aligning on shared technical direction and delivery milestones.

Skills

Required

  • MS in Computer Science or a related field
  • 8+ years of software engineering experience
  • 3+ years managing engineering teams
  • Proven track record leading high-performing teams in search, personalization, information retrieval, recommendation systems, or a related ML field
  • Deep expertise in generative AI and LLMs
  • hands-on experience building and deploying these systems in production at scale
  • Demonstrated ability to work cross-functionally
  • Track record of influencing product direction
  • Exceptional communication and presentation skills

Nice to have

  • PhD in Computer Science, Machine Learning, or a related field
  • Experience evaluating and deploying search features incorporating large-scale GenAI, deep learning, and natural language processing solutions
  • Deep understanding of search indexing, query understanding, and ranking algorithms
  • Background delivering consumer-facing features or products used at global scale
  • Experience establishing cross-team technical standards, shared evaluation frameworks, or platform capabilities adopted by partner teams

What the JD emphasized

  • lead a team building the core search algorithms, large-scale ML models, and generative AI systems
  • drive execution across the full ML lifecycle, from research and evaluation through production deployment
  • partner closely with product, design, and platform teams
  • Deep expertise in generative AI and LLMs, with hands-on experience building and deploying these systems in production at scale.
  • Proven track record leading high-performing teams in search, personalization, information retrieval, recommendation systems, or a related ML field.

Other signals

  • leading a team building core search algorithms, large-scale ML models, and generative AI systems
  • drive execution across the full ML lifecycle, from research and evaluation through production deployment
  • partner closely with product, design, and platform teams
  • deep expertise in generative AI and LLMs, with hands-on experience building and deploying these systems in production at scale