Machine Learning Research Engineer, Siri Speech

Das ist der Job

You will analyze model behavior to identify opportunities for improvement in accuracy, robustness, and naturalness.

Das brauchst du

Machine Learning Research Engineer, Siri Speech Die folgenden Informationen geben Ihnen einen Überblick über die Fähigkeiten, Qualitäten und Qualifikationen, die für diese Stelle erforderlich sind.

Darum lohnt es sich

Work with the world‑class team behind Siri—the intelligent assistant that helps millions of people get things done simply by asking.

The Siri Speech team at Apple is seeking a passionate and experienced Machine Learning Engineer to elevate the Siri experience to new levels of intelligence, fluency, and personalization—empowering users worldwide while upholding Apple’s unwavering commitment to privacy and innovation.

Description As a Machine Learning Research Engineer on the Siri Speech team, you will help advance Siri’s speech capabilities by focusing on the evaluation, analysis, and improvement of state‑of‑the‑art end‑to‑end speech models.

This position involves close collaboration with cross‑functional teams of engineers and researchers from diverse backgrounds, working together in a dynamic and fast‑paced environment to deliver high‑impact improvements to Siri’s core speech technologies.

You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. xayajpt By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Aachen, North Rhine-Westphalia, Germany Machine Learning and AI Play a part in shaping the future of human‑computer interaction.

Contribute to products that are redefining mobile computing and creating breakthrough technologies in conversational AI, speech recognition, and natural language understanding and generation. Your work will play a key role in shaping the next generation of Siri’s understanding and generation systems that power millions of daily interactions.

In this role, you will evaluate emerging Speech LLMs, design and implement novel evaluation frameworks, and develop new tools to measure and enhance model performance. Beyond advancing current models, you will also explore innovative approaches and improve existing algorithms to push the boundaries of what speech models can achieve.

You will build efficient automated processes and tooling to streamline large‑scale model evaluation and analysis workflows. Minimum Qualifications Deep understanding of Machine Learning (ML) fundamentals.

Advanced expertise in deep learning, demonstrated through years of industrial roles related to this field as well as publications in relevant conferences, such as Interspeech, ICASSP, ICLR, NeurIPS, etc. Advanced background in speech technologies and related NLP fields.

Proficiency in Python and deep learning frameworks such as JAX, PyTorch and TensorFlow. Preferred Qualifications Deep technical expertise on Speech LLMs, ASR or TTS. A track record in software design, coding and parallel computing. Proven software development experience, preferably in a deep learning field.

Experience with large scale machine learning training/evaluation. 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. We will work with applicants to make any reasonable accommodations. At Apple, we believe accessibility is a fundamental human right. Learn about accessibility in Apple’s workplace