JobsSr. Machine Learning Engineer, Siri Speech
Apple logo

Sr. Machine Learning Engineer, Siri Speech

Apple

Location

Cupertino, CA

Type

Full-time

Posted

5/10/2026

Compensation

Not listed

Undergraduate with 5+ Years of Experience
Approval 98.9%·Filings 5,543·New hires 2,691·
👑 Elite Sponsor
·FY 2025

Job description

The role involves working with a team of engineers and researchers dedicated to advancing Siri's Conversational AI at Apple. The mission is to develop innovative infrastructure, datasets, and models that enhance Siri's capabilities in natural language understanding, dialog generation, and speech recognition. The team focuses on addressing real-world challenges while ensuring user privacy. Candidates will engage in pushing the boundaries of foundation models and conversational AI to create personalized experiences for millions of users.

Requirements

  • 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 such as PyTorch, TensorFlow, or JAX
  • Experience with the full ML lifecycle including data processing, training, evaluation, and deployment
  • Familiarity with distributed training and large-scale data pipelines
  • Solid understanding of ML fundamentals including supervised and unsupervised learning
  • Experience with cloud platforms such as AWS, GCP, or Azure and containerization tools like Docker and Kubernetes
  • Strong software engineering practices including testing, code review, and version control
  • PhD in Machine Learning, Computer Science, or a related field is preferred
  • Experience with large language models, pre-training, fine-tuning, and reinforcement learning
  • Familiarity with MLOps tools such as MLflow, Weights & Biases, or Kubeflow
  • Background in specific domains such as audio generation, speech-to-speech, or NLP
  • Experience with real-time serving infrastructure

Responsibilities

  • Develop and enhance infrastructure for Siri's Conversational AI capabilities
  • Create and manage datasets and models for natural language understanding and dialog generation
  • Implement machine learning solutions that address real-world user challenges
  • Collaborate with cross-functional teams to improve user experiences
  • Ensure adherence to strong software engineering practices throughout the development process

Benefits

  • Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.

Is this posting expired or inaccurate?