Senior Machine Learning iOS Platform Engineer — Responsible AI and Safety

What you'll do

• Architect and implement safety classifiers, guardrails, mitigation policies, and complex multimodal workflows for production deployment.
• Lead feature development and performance optimization, and contribute to deployment pipelines, tooling, evaluation, and safety improvement.
• Mentor engineers and collaborate across engineering, design, legal, and regulatory stakeholders.

What they ask for

• 12+ years of professional experience, including at least 5+ years in iOS / macOS application development using 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 shipping mobile frameworks used outside the direct team and leading complex production-system architecture and development.

Nice to have

• Working knowledge of on-device ML runtimes (Core ML, MLX, or equivalent) and model export and runtime loading.
• Working knowledge of frontier/LLM models, token-streaming inference, tokenization, and buffering; experience building applications using modern ML/AI technology.

Pay

$205,400 and $308,500 USD base salary; $216,200 and $324,800 USD base salary

Tools

Objective C, Swift, Core iOS, Foundation, Core ML, MLX, Apple Silicon, Private Cloud Compute (PCC)

AI focus

Integrate and deploy Responsible AI safety classifiers, guardrails, and mitigation policies for generative AI across on-device and cloud systems; contribute to modeling, tooling, datasets, and evaluation methods.