Machine Learning Engineer, Siri Speech

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.

Minimum Qualifications

• Strong proficiency in Python; good coding skills in bash scripting, and any OOP/functional language such as Java, C, C++, Go, Rust etc.

• Experience with machine learning algorithms and techniques, including deep learning.

• Hands-on experience with TensorFlow and/or PyTorch; familiarity with scikit-learn.

• Experience with version control systems such as Git.

• Good knowledge in machine learning technologies related to speech and audio processing; experience with image processing is a plus.

• Strong problem-solving skills and ability to work independently as well as in a team environment.

• Excellent written and verbal communication skills.

Preferred Qualifications

• M.S in Computer Science or related field, or Bachelor's degree with equivalent experience.

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