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 contribute to engineering best practices.
• Stay current with advancements in machine learning and related fields.

What we're looking for

• Experience designing and developing machine learning models for speech, NLP, and multimodal applications.
• Proficiency in Python and hands-on experience with TensorFlow and/or PyTorch.
• Ability to integrate ML solutions into production systems at scale.
• Strong knowledge of machine learning technologies related to speech and audio processing.
• Excellent problem-solving skills and ability to work independently and collaboratively.
• Familiarity with version control systems like Git and experience with large datasets analysis.
• M.S. in Computer Science or equivalent experience preferred.