Sr. Machine Learning Engineer, Siri Speech

Sr.

Machine Learning Engineer, Siri Speech Cupertino, California, United States Machine Learning and AI Summary Posted:

May 08, 2026

Weekly Hours:

40

Role Number:

200662258-0836 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! Description 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! Responsibilities 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 ML fundamentals: supervised/unsupervised learning, model evaluation, regularization Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Strong software engineering practices: testing, code review, version control Preferred Qualifications PhD in Machine Learning, Computer Science, or a related field Experience with LLMs, pre-training, fine-tuning, RL Familiarity with MLOps tools (MLflow, Weights & Biases, Kubeflow) Background in a specific domain (audio generation, speech-to-speech, NLP) Experience with real-time serving infrastructure Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.

Note:

Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. At Apple, we believe accessibility is a fundamental human right. You'll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Apple accepts applications to this posting on an ongoing basis.