Generative AI Research Engineer, Siri Speech

Apple Inc.; Cambridge; On-site; GBP 90,000 - 130,000; Full time

Job summary

Apple Inc. in Cambridge, England is seeking an early career Generative AI Research Engineer for the Siri Speech team.

You will advance state-of-the-art generative speech, drive end-to-end neural TTS research, and collaborate with product and research teams to deliver on-device capabilities across Apple devices. The role demands deep learning expertise, strong mathematical foundations, and experience with Python and PyTorch.

Qualifications

• Deep learning and sequence modeling fundamentals required.
• Strong background in generative AI frameworks and optimization.
• Experience with on-device deployment and edge computing constraints.

Responsibilities

• Investigate conditioning, alignment, and guided inference for prosody, emotion, speaker identity, and pacing in generative audio.
• Build proof-of-concept prototypes, benchmark approaches, and bridge research with production code.
• Collaborate across teams to enable efficient, reliable, on-device speech synthesis.
• Adapt to evolving research trends in a fast-paced environment.

Skills

Deep Learning Foundations

Mathematical Rigor

Engineering Excellence

On-Device & System Awareness

Research Mindset

Python

PyTorch

Education

MSc or equivalent in Computer Science, Mathematics, Data Science, Physics, or related field

Tools

Python

PyTorch

Job description

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Generative AI Research Engineer, Siri Speech

Cambridge, England, United Kingdom Machine Learning and AI

Be part of the next revolution in human-computer interaction. Contribute to products that are redefining mobile computing. Create groundbreaking technology for large-scale systems, speech synthesis, and generative artificial intelligence. Work with the team building the intelligent assistant that helps millions of people get things done every day.

Description

The Siri Speech (TTS) Team is seeking a highly qualified, creative, and hands-on Early Career Research Engineer eager to advance the state-of-the-art in generative speech models and improve the user experience across Apple devices. In this role, you will collaborate with world-class product and research teams to integrate novel generative AI paradigms into on-device user experiences.As a Research Engineer on the End-to-End Neural TTS team, your primary focus will be researching and developing techniques to enhance the steerability, expressiveness, and fine-grained control of Large Language Models and Generative Speech Decoders on Apple devices.

Responsibilities

• Investigate innovative conditioning, alignment, and guided inference methods to reliably control attributes such as prosody, emotion, speaker identity, and pacing in generative audio pipelines.
• Build proof-of-concept prototypes, benchmark new algorithmic approaches, and write high-quality software libraries to bridge cutting-edge research with production capabilities.
• Collaborate across multidisciplinary teams to ensure next-generation speech synthesis technology runs efficiently, reliably, and accessibly for everyone, everywhere.
• Adapt quickly to evolving research trends and shifting priorities in a fast-paced environment.

Minimum Qualifications

• Deep Learning Foundations: Strong theoretical background in modern deep learning architectures, sequence modeling, and generative AI frameworks (e.g., Transformers, Flow Matching, Diffusion, VAEs).
• Mathematical Rigor: Solid foundation in optimization, probability theory, linear algebra, and statistical machine learning.
• Engineering Excellence: Excellent programming skills in Python and PyTorch, with experience writing clean, scalable code for model training and inference.
• On-Device & System Awareness: Exposure to or strong interest in efficient model execution, quantization, and deployment constraints for edge/on-device computing.

Preferred Qualifications

• Research Mindset: Strong problem-solving abilities, high curiosity, and a passion for exploring novel frontiers in speech and language modeling.
• Degree: Master’s degree (MSc) or equivalent in Computer Science, Mathematics, Data Science, Physics, or a related quantitative field.
• Experience: Early career: post-degree experience or practical industry/academic research experience demonstrated through publication, open-source codebases, or high-impact projects

At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law. Learn more

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