Sr. Machine Learning Engineer, Siri Speech

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified last checked Jun 13, 2026

Salary

Not verified not verified - source not recorded; timestamp not recorded

401(k) match

Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

Was this benefit information wrong? Tell us.

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Sr. Machine Learning Engineer, Siri Speech Cupertino, United States of America We are a group of engineers/researchers responsible for advancing Siri Conversational AI at Apple. Our mission is to build cutting-edge infrastructure, datasets, and models that empower Siri with capabilities across natural language understanding, dialog generation, speech synthesis and recognition, and multi-modal interaction. We apply these technologies to create engaging, intelligent, and personalized conversational experiences for millions of Apple users! We believe that the most impactful breakthroughs in deep learning emerge when we address real-world problems at scale while we preserve user privacy. Siri presents a unique and rich set of challenges-from robust understanding of diverse user intents to fluid, contextual, and trustworthy multi-turn dialog. Join us, and we will take on the challenges to push the frontiers of foundation models and conversational AI! Design, train, and evaluate machine learning models for production use cases Build and maintain scalable ML pipelines (data ingestion, feature engineering, training, evaluation, serving) Collaborate with data scientists to translate research prototypes into robust, production-grade systems Monitor deployed models for performance degradation and data drift Optimize models for latency, throughput, and resource efficiency Contribute to ML infrastructure, tooling, and best practices Minimum Qualifications: MSc in Computer Science, Machine Learning, Statistics, or a related field Proven experience in machine learning or a related engineering role Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, JAX) Experience with the full ML lifecycle: data processing, training, evaluation, deployment Familiarity with distributed training and large-scale data pipelines Solid understanding of

Read the full description at jobs.apple.com. FewerJobs shows a source-linked preview and links to the original posting.