The Engineering Manager will lead a team focused on building and operating ML-powered services for digital identity, including liveness detection and face matching. This role requires a strong background in software engineering and engineering management, with a focus on operational excellence and team growth. The manager will collaborate with ML engineers and the iOS team to ensure seamless deployment and operation of models at scale. The position emphasizes the importance of security, privacy, and user experience in the development of digital identity solutions.

• 10+ years of professional software engineering experience building and operating distributed systems at large scale.
• 5+ years of engineering management experience with a track record of building, growing, and leading high-performing teams.
• Experience managing managers or technical leads, with accountability for outcomes across multiple workstreams or sub-teams.
• Experience managing the deployment and operation of ML models in production, including model serving, monitoring, and lifecycle management.
• Strong understanding of distributed systems fundamentals and trade-offs in consistency, latency, and throughput.
• Demonstrated ability to drive operational excellence, including on-call culture, incident management, and reliability practices.
• Clear and thoughtful communicator, able to drive consensus on complex technical topics with diverse audiences including cross-functional and geographically distributed teams.
• Hands-on software development experience with Java or Kotlin and Spring.
• Experience building and operating high-volume REST or gRPC services.
• Familiarity with ML infrastructure, including model serving, experiment tracking, data pipelines, and A/B testing for models.
• Experience with containerization, orchestration, and cloud-native architectures.
• Understanding of security, privacy, and cryptography fundamentals.
• Experience with databases at scale, both relational and NoSQL.
• Experience with workflow orchestration tools.
• Domain experience in computer vision or liveness detection.
• Familiarity with digital identity standards such as ISO 18013/23220.
• Experience using generative AI tools to accelerate software development.

• Lead a group of engineers and technical leads responsible for ML-powered services.
• Own the full lifecycle of services from architecture and development through deployment and monitoring.
• Define engineering strategy across multiple workstreams.
• Drive operational excellence and grow both the team and its leaders.
• Collaborate closely with the iOS team to build the on-device experience.
• Partner with ML engineers to deploy and operate models at scale.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.