BJAK

• Build and maintain iOS applications using Swift and SwiftUI. • Integrate AI-powered features through backend APIs. • Design UX patterns for AI interactions, including loading states, streaming responses, retries, and fallbacks. • Optimize performance, memory usage, and battery efficiency. • Capture user signals and feedback to support AI evaluation and iteration. • Collaborate closely with backend and ML engineers on API design and system behavior. • Maintain high App Store quality, stability, and production reliability.

• Own the iOS client experience, how AI feels, responds, and performs in users’ hands. • Build and maintain iOS applications using Swift and SwiftUI. • Integrate AI-powered features through backend APIs. • Design UX patterns for AI interactions, including loading states, streaming responses, retries, and fallbacks. • Optimize performance, memory usage, and battery efficiency. • Capture user signals and feedback to support AI evaluation and iteration. • Collaborate closely with backend and ML engineers on API design and system behavior. • Maintain high App Store quality, stability, and production reliability.

• Own the iOS client experience, how AI feels, responds, and performs in users’ hands. • Build and maintain iOS applications using Swift and SwiftUI. • Integrate AI-powered features through backend APIs. • Design UX patterns for AI interactions, including loading states, streaming responses, retries, and fallbacks. • Optimize performance, memory usage, and battery efficiency. • Capture user signals and feedback to support AI evaluation and iteration. • Collaborate closely with backend and ML engineers on API design and system behavior. • Maintain high App Store quality, stability, and production reliability.

• Own the iOS client experience, how AI feels, responds, and performs in users’ hands. • Build and maintain iOS applications using Swift and SwiftUI. • Integrate AI-powered features through backend APIs. • Design UX patterns for AI interactions, including loading states, streaming responses, retries, and fallbacks. • Optimize performance, memory usage, and battery efficiency. • Capture user signals and feedback to support AI evaluation and iteration. • Collaborate closely with backend and ML engineers on API design and system behavior. • Maintain high App Store quality, stability, and production reliability.

• Build and maintain iOS applications using Swift and SwiftUI. • Integrate AI-powered features through backend APIs. • Design UX patterns for AI interactions, including loading states, streaming responses, retries, and fallbacks. • Optimize performance, memory usage, and battery efficiency. • Capture user signals and feedback to support AI evaluation and iteration. • Collaborate closely with backend and ML engineers on API design and system behavior. • Maintain high App Store quality, stability, and production reliability.

• Build and maintain iOS applications using Swift and SwiftUI. • Integrate AI-powered features through backend APIs. • Design UX patterns for AI interactions, including loading states, streaming responses, retries, and fallbacks. • Optimize performance, memory usage, and battery efficiency. • Capture user signals and feedback to support AI evaluation and iteration. • Collaborate closely with backend and ML engineers on API design and system behavior. • Maintain high App Store quality, stability, and production reliability.

• Own the Android client experience, how AI feels, behaves, and performs on mobile devices. • Build a production Android application where AI interactions are core to the product. • Build and maintain production Android apps using Kotlin. • Integrate AI-powered features (chat, vision, voice, recommendations) via backend APIs. • Design UX patterns for AI interactions, including streaming responses, retries, and partial results. • Optimize performance, memory usage, and responsiveness for AI-heavy flows. • Implement analytics, logging, and feedback capture to support AI evaluation and iteration. • Collaborate closely with backend and ML engineers on API contracts and system behavior. • Ensure app stability, security, and scalability in production environments.

• Build core ML systems that power a proactive, long-horizon AI product. • Own work end-to-end: data preparation, training, evaluation, inference, and iteration. • Turn research ideas into working systems that run reliably in production. • Debug model failures and system issues using real production signals. • Iterate quickly: ship, measure outcomes, refine, and repeat. • Collaborate closely with research, product, and engineering to deliver real user impact. • Mentor and review work from other ML engineers through example and technical judgment. • Work under real production constraints: latency, cost, reliability, and safety

• Build core ML systems for a proactive AI product. • Own end-to-end processes: data prep, training, evaluation. • Collaborate with research and engineering teams. • Mentor other ML engineers. • Iterate quickly on system designs and improvements.

• Build core ML systems for proactive AI products • Own tasks end-to-end from data preparation to iteration • Collaborate with research and product teams • Debug and resolve production issues • Mentor other ML engineers