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Sr. Machine Learning Engineer, Siri Speech at Apple

Cupertino, California, United States -

Full Time

Start Date

Immediate

Expiry Date

06 Aug, 26

Salary

0.0

Posted On

08 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, PyTorch, TensorFlow, JAX, Machine Learning, Distributed Training, Data Pipelines, AWS, GCP, Azure, Docker, Kubernetes, LLMs, RL, MLOps, NLP

Industry

Computers and Electronics Manufacturing

Description

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! 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

Responsibilities

Develop cutting-edge infrastructure, datasets, and models to advance Siri's conversational AI capabilities. Focus on natural language understanding, dialog generation, and multi-modal interaction to create personalized user experiences.