Lead iOS Engineer developing AI-powered applications for webAI. Define architecture, engineering standards, and mentor engineers while enhancing user experience.
Responsibilities
iOS technical leadership: Define architecture, engineering standards, and delivery practices for a high-quality iOS codebase.
Build best-in-class Swift/SwiftUI experiences: Create polished, responsive UI with strong state management, clean composition, and modular design.
Performance & animation excellence: Ensure buttery-smooth interactions (scrolling, transitions, gestures), optimize render pipelines, and aggressively reduce jank, dropped frames, and memory pressure. Obsess about the animation and performance.
On-device inference optimization: Implement and optimize ML inference pipelines with a focus on latency, battery, thermal limits, memory usage, and throughput.
CoreML / MLX integration: Build reliable inference flows using CoreML and modern ML stacks (including MLX where appropriate), managing model formats, quantization strategies, and runtime constraints.
Metal-enabled acceleration: Use Metal (and related GPU tooling) to accelerate graphics or computation where it meaningfully improves user experience and performance.
Offline-first architectures: Design robust offline flows with local persistence, sync strategies, conflict resolution, and resilient background behavior.
Observability & quality: Establish performance monitoring, crash/error reporting, regression testing, and release processes that keep quality high as the product scales.
Cross-functional collaboration: Partner closely with product, design, and backend to translate goals into crisp technical plans and deliver reliably.
Mentor and raise the bar: Coach iOS engineers through pairing, code reviews, and thoughtful guidance; drive a culture of craftsmanship and velocity.
Requirements
6+ years of professional iOS development experience, including significant ownership of a production iOS app.
Strong expertise in Swift and SwiftUI, with demonstrated ability to build complex, high-performance interfaces.
Deep understanding of iOS performance: Instruments, Time Profiler, memory leaks, frame pacing, rendering costs, concurrency, and energy impact.
Experience building offline-first mobile apps: persistence layers, background tasks, sync engines, and reliability under poor network conditions.
Familiarity with Metal (or strong graphics/GPU optimization instincts) and when to apply it.
Practical experience shipping on-device ML features using CoreML (and/or related inference runtimes), including model lifecycle and optimization considerations.
Strong software engineering fundamentals: architecture patterns, testability, maintainability, and thoughtful API design.
Proven leadership: driving technical direction, mentoring, and making pragmatic tradeoffs to ship.
Benefits
Competitive salary and performance-based incentives.
Comprehensive health, dental, and vision benefits package.
401k Match (US-based only)
$200/mos Health and Wellness Stipend
$400/year Continuing Education Credit
$500/year Function Health subscription (US-based only)
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