Machine Learning Engineer - Speech

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Machine Learning Engineer - Speech

Herzliya, Tel Aviv District, IsraelMachine Learning and AI

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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.

We are seeking a passionate and experienced Machine Learning Engineer to join our team. In this role, you will push the boundaries of on-device speech recognition and NLP, working across the full stack - from data pipelines and model training to optimization for Apple silicon. You'll collaborate with world-class researchers and engineers to ship technology that reaches hundreds of millions of users, while upholding Apple's unwavering commitment to privacy.

• Work with unique, proprietary datasets - developing algorithms to process them and devising metrics to evaluate and improve quality

• Design and implement machine learning models spanning speech recognition and NLP domains

• Drive data quality insights and influence the design of our end-to-end system

• Conduct both cutting-edge research and product-oriented development

• Collaborate closely with researchers, engineers, and product teams to bring new capabilities to life

• M.Sc. in Computer Science or a related field, or equivalent practical experience

• Deep understanding of Machine Learning fundamentals

• Proficiency in Python and at least one deep learning framework (PyTorch, TensorFlow, or JAX)

• 3+ years of industry experience in deep learning through applied research roles

• Hands-on experience with the full deep learning lifecycle at scale, including dataset curation, architecture design, distributed training, error analysis, and production deployment.

• M.Sc. in Computer Science or a related field, or equivalent practical experience

• Ph.D. in Computer Science or a related field

• Advanced background and hands-on experience in speech technology (e.g., ASR, TTS, speaker recognition)

• Background in NLP, including language modeling, text processing, and linguistic understanding

• Experience training large models using both supervised and self-supervised methods

• Track record of shipping ML features in a production environment

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.

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