Generative AI Research Engineer, Siri Speech

Lex; Cambridge; On-site; GBP 60,000 - 90,000; Full time

Job summary

Apple is seeking an Early Career Research Engineer to advance generative speech models for on-device experiences across Apple devices. You will collaborate with world-class teams to integrate novel AI paradigms into the Siri Speech (TTS) stack and related systems.

Role focuses on steerability, expressiveness, and fine-grounded control of large language models and speech decoders, with an emphasis on efficiency and production readiness on-device.

Qualifications

• Strong foundations in modern deep learning architectures and generative AI.
• Proficiency in Python and PyTorch for model training and inference.
• Experience with on-device deployment and edge computing constraints.

Responsibilities

• Research and prototype techniques to improve steerability and expressiveness of generative speech.
• Develop and benchmark algorithms bridging research to production.
• Collaborate with cross-functional teams to enable efficient on-device speech synthesis.
• Adapt to evolving trends in speech and language modeling.

Skills

Deep Learning

Sequence Modeling

Generative AI

Python

PyTorch

On-Device Computing

Education

Master's degree in CS/Math/DS/Physics

Tools

PyTorch

Edge Deployment

Job description

Summary

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.

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.

Role Number: 200688766-1251