Senior Machine Learning iOS Platform Engineer — Responsible AI and Safety

Apple • Washington, DC

6d

About The Position

Join Us in Shaping the Future of Generative AI at Apple! Are you passionate about making AI systems safer, more inclusive, and globally representative? Apple is seeking an expert Client Engineer to own the integration of our Responsible AI mitigation assets across the full deployment surface, from on-device foundation models running on Apple Silicon to server-side inference on Private Cloud Compute (PCC). In this role, you will be a pivotal technical leader, bridging Swift client engineering and ML deployment, driving the architectural vision, design, and implementation of how safety classifiers, guardrail models, and mitigation policies are shipped, invoked, and streamed alongside our generative features. You will take end-to-end ownership, from initial concept and rapid prototyping to delivering robust, high-performance, and maintainable solutions that minimize unintended consequences across people, systems, and society while elevating feature capabilities and the overall user experience. Together, we’ll anticipate challenges, measure real-world impact, and deliver trusted, high‑quality AI experiences to users around the globe.

Our team leads Responsible AI initiatives for global generative AI products, operating at the intersection of policy, product, and GenAI. We build the safety classifiers, content filters, and policy enforcement layers that protect users from unintended model behavior. This role is about getting those assets into users' hands reliably, on the device or in the cloud, at the latency and quality bar Apple expects. We are seeking candidates who will work closely with multiple stakeholders, ranging from design, engineering, legal and regulatory to ensure our safeguards advance both user protection and product innovation. You will work on defining mitigation architectures, owning the implementation and overseeing the integration in production. Additionally, you will contribute to modeling, tooling and frameworks, as well as dataset, and evaluation methods to monitor, diagnose failures, and improve the safety of generative models throughout the deployment lifecycle.

Requirements

• 12+ years of professional experience
• At least 5+ years in iOS / macOS application development in both Objective C and Swift
• Expertise in Apple's Core iOS and Foundation frameworks
• BS in Computer Science, Mathematics, Statistics, or a related field, or equivalent industry experience
• Experience in shipping impactful mobile frameworks used by others outside your direct team
• Experience leading the architecture and development of complex, high-performance production systems
• Demonstrated ability to technically lead projects, mentor engineers, and drive cross-functional initiatives from concept to delivery
• Excellent analytical, problem solving and communication skills

Nice To Haves

• Working knowledge of on-device ML runtimes (Core ML, MLX, or equivalent) and the model-export lifecycle: converting trained models into shippable assets, and loading them efficiently at runtime
• Working knowledge of frontier/LLM models including token-streaming inference, tokenization, and buffering strategies
• Experience building applications that utilize modern ML/AI technology

Responsibilities

• Own the integration of Responsible AI mitigation assets across the full deployment surface, from on-device foundation models running on Apple Silicon to server-side inference on Private Cloud Compute (PCC).
• Bridge Swift client engineering and ML deployment.
• Drive the architectural vision, design, and implementation of how safety classifiers, guardrail models, and mitigation policies are shipped, invoked, and streamed alongside generative features.
• Take end-to-end ownership from initial concept and rapid prototyping to delivering robust, high-performance, and maintainable solutions.
• Minimize unintended consequences across people, systems, and society while elevating feature capabilities and the overall user experience.
• Anticipate challenges, measure real-world impact, and deliver trusted, high-quality AI experiences.
• Work closely with multiple stakeholders, ranging from design, engineering, legal and regulatory.
• Define mitigation architectures, own the implementation and oversee the integration in production.
• Contribute to modeling, tooling and frameworks, as well as dataset, and evaluation methods to monitor, diagnose failures, and improve the safety of generative models throughout the deployment lifecycle.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior