About the job
Want to join the team pushing the boundaries of AI and building an intelligent assistant that helps millions of people get things done? Join the Siri team at Apple! To build the best speech recognition models, we need to use the latest technology in distributed training and the best available data. We combine those needs into one team and are focused on blurring the lines between traditional “data processing” and “model training”. Efficiently training on petabytes of audio data pushes us to consider the entire training stack while developing new models to extract useful signals from unprecedented volumes of data. By joining our team, you’ll have the opportunity to work with large and diverse datasets, iterate with research and production teams, and deliver voice based experiences to millions of users worldwide.
Responsibilities
Work with open source tools like PySpark, Jax, Ray and others
Optimize how to move multi-modal data from various sources into complex model training pipelines
Use open source models to extract signals from large volumes of speech data to drive modeling improvements
Qualifications
Minimum
Experience processing large, complex, unstructured data
Knowledge of distributed data processing frameworks (Beam, Spark, Dask, Ray)
Strong software engineering abilities, ideally Python
Strong interpersonal skills to work well with engineering teams
Preferred
M.S. or Ph.D. degree in Computer Science, or other technical discipline
Machine Learning experience a plus
Experience with optimizing and running large batch or training jobs on HPC-like clusters using GPUs or TPUs
Speech understanding or generation experience a plus
Strong data engineering background in speech and/or language/text/dialogue processing field
Excellent problem solving and critical thinking
Ability to work in a fast-paced environment with rapidly changing priorities
Passionate about building extraordinary products and experiences for our users