At the Siri Speech team, you will drive research and development for natural voice interaction, investigating new approaches and fine tuning deep learning models. You will design, develop, and implement machine learning models across speech, NLP, and multimodal applications, integrate ML solutions into existing workflows and large-scale systems, and work with large quantities of data to create production-quality models at scale. You will write clean, efficient, well-documented code, participate in code reviews, and mentor junior team members. Collaboration with cross-functional partners to define requirements and deliver high-quality solutions is essential. You will contribute to research initiatives and stay current with advancements in ML, HCI, LLMs, speech recognition, and signal processing. You should be passionate about creating and shipping phenomenal products and thrive in a fast-paced environment with rapidly changing priorities.

Design, develop, and implement machine learning models for speech, NLP, and multimodal applications.

Investigate and fine tune deep learning architectures for natural voice interaction and speaker recognition.

Integrate ML solutions into production systems and existing workflows at scale.

Collaborate with data scientists, software engineers, and product managers to define requirements and deliverables.

Write clean, efficient, well-documented code and participate in code reviews.

Analyze large datasets and apply state-of-the-art methods to build production-quality models.

Mentor junior team members and contributes to engineering best practices.

Stay current with advances in ML, HCI, LLMs, speech recognition, and signal processing and contribute to research.