Apple
Sr. Machine Learning Engineer, Siri Global
$185K–$325K
Cupertino, California · Senior · Full-time · Posted Jul 16, 2026
- Experience
- 10+ years; experience with large-scale NLU systems is a strong asset.
- Education
- Master's or PhD in computer science, software engineering, machine learning, language technologies, or a related field; outstanding candidates with a Bachelor's degree and multiple years of significant engineering/product experience will also be considered.
About the job
Leads the design, development, and deployment of machine learning systems that improve Siri’s accuracy, speed, reliability, and capabilities across languages and markets.
What you'll do
- Build and improve Global Siri machine learning models, systems, and end-to-end product engineering.
- Partner across teams and stakeholders to diagnose user-facing issues, develop solutions, and align work with product goals and metrics.
- Provide technical leadership, mentor engineers, and communicate progress, metrics, and challenges to cross-functional stakeholders.
What they ask for
- At least 10 years developing, shipping, and measuring industry-scale machine learning software systems.
- Senior engineer, tech lead, or engineering manager experience on an ML-based product, including mentoring and cross-functional collaboration.
- Expertise in large language models or other foundation models, and strong machine learning/deep learning background.
- Proficiency in at least one object-oriented language, scripting languages, and machine learning frameworks.
Nice to have
- Experience in data science and analytics, including annotation, statistical analysis, A/B testing, or experiments with large-scale usage data.
- Experience with iOS development, localization, internationalization, machine translation, or language technologies.
Pay
$184,700 and $324,800 (USD, base salary)
Tools
Java, C++, Objective-C, Swift, Python, Ruby, bash, TensorFlow
AI focus
Develops and deploys ML models and systems for Siri, including work with LLMs or other foundation models and language technologies.
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