The Siri Perception team is working on innovative voice-based experiences that makes Siri more intuitive and personal. We are seeking a talented Machine Learning Engineer to join our team and help us develop the next generation of Siri on Apple Intelligence.
Recently Back-to-Back requests enabled Siri to understand when the user is talking to Siri and when they are not without even needing to say “Siri” or “Hey Siri”. As a Machine Learning Engineer, you will play a crucial role in designing, developing, and implementing machine learning algorithms to power this feature. You will work closely with a team of talented engineers, researchers, and data scientists to explore new approaches, conduct experiments, and analyze data to improve our user journeys!

As a Machine Learning Engineer, you will be responsible for developing and applying machine learning techniques to improve Siri’s ability to understand and respond to user queries in real-time. You will work on a variety of tasks including:

• Designing, developing, and implementing machine learning models to power Siri invocation features. This will involve data analysis, experimentation, and modeling to create user journeys that are seamless and intuitive.
• Conducting experiments to evaluate the performance of machine learning models and identify areas for improvement
• Conducting error estimation and monitoring distribution shifts to ensure model performance and robustness.
• Collaborating with cross-functional teams to productionize next generation of machine learning models for Siri invocation
• Staying up-to-date on the latest advances in machine learning and applying them to Siri’s development

Bachelor’s degree with 1-2 years of work experience or Masters’ degree in Computer Science, Machine Learning, or a related fieldStrong programming skills in PythonExperience with machine learning frameworks such as TensorFlow or PyTorchExcellent problem-solving, quantitative and analytical skillsAbility to work independently and as part of a team