Machine Learning Engineer, Siri Speech

What you'll do

• Design and develop machine learning models for speech, NLP, and multimodal applications.
• Fine tune deep learning systems for natural voice interaction and speaker recognition.
• Integrate ML solutions into production systems at scale.
• Analyze large datasets to build high-quality production models using state-of-the-art methods.
• Write clean, efficient code and participate in code reviews.
• Mentor junior team members and promote engineering best practices.
• Stay current with advancements in ML, HCI, LLMs, speech recognition, and signal processing.

What we're looking for

• Proficient in Python and experience with TensorFlow/PyTorch.
• Hands-on experience with machine learning algorithms and deep learning techniques.
• Knowledge of speech and audio processing technologies; image processing experience preferred.
• Strong problem-solving skills and ability to work independently and collaboratively.
• Experience with version control systems like Git and writing clean, efficient code.