Apple is looking to design machine learning models for interactive real-time dialogue systems that understand speech and text on consumer devices.
Requirements
- Training speech-based and text-based ML models for interactive dialogue systems
- Utilizing ML neural architectures including DNN, RNN, LSTM, or Transformer
- Analyzing datasets and design ML training recipes to improve accuracy
- Designing pipelines to synthesize ML training data with Large Language Model prompts
- Designing and implementing end-to-end data and machine learning pipelines for training and deployment of ML models
- Utilizing Python modules for machine learning
- Utilizing Spark for large-scale data processing
Responsibilities
- Design machine learning models to run on consumer devices for understanding speech and text as part of an interactive real time dialogue system.
- Utilize data processing frameworks like Spark to pre-process datasets for training and evaluating ML models.
- Build end-to-end pipelines for automating data and modeling workflows, to achieve rapid prototyping and development of new models.
- Adopt the latest Cloud computing infrastructure into data and modeling pipelines.
- Adopt the latest neural architectures, such as DNN, RNN, LSTM, Transformer.
- Leverage speech recognition systems, text-based natural language models, and LLMs to generate data and signals for detecting a user’s intent to interact with a device.
- Analyze production datasets to obtain actionable insights on how to improve model accuracy, through modification and augmentation of training data and/or model design.
Other
- Master’s degree or foreign equivalent in Computer Science, Electrical Engineering, Machine Learning, Computer Engineering, or related field and 3 years of work experience in the job offered or related occupation.
- 40 hours/week.
- Apple is an equal opportunity employer that is committed to inclusion and diversity.
