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Sr. Machine Learning Engineer, Siri Speech

Apple - Cupertino, United States of America

Posted May 8, 2026

Benefits

Parental leave
Not verified
Non-birth-parent leave
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Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
Not verified checked Jun 13, 2026
Salary
$181K-$318K From the posting source checked Jun 20, 2026
401(k) match
Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)
$116,543 U.S. median for this role
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

114% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Engineering From the posting source checked Jun 20, 2026
Seniority
Senior From the posting source checked Jun 20, 2026

Schedule

Shift type
Not verified
Weekend work
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Company

Company stage
Public-company From the posting source checked Jun 20, 2026
Equity
Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter
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Assessment
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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

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