To build the best speech recognition models for the Siri team at Apple, utilizing the latest technology in distributed training and the best available data, blurring the lines between traditional data processing and model training.
Requirements
- Machine Learning background in speech and/or language/text/dialogue processing field
- Processing large, complex, unstructured data
- Speech understanding or generation model training
- Evaluation of multiple open source models
- Knowledge of JAX, PyTorch
- Deep knowledge of distributed data processing frameworks (Beam, Spark, Dask, Ray)
- Strong software engineering abilities, ideally C++ and/or Java and/or Python
Responsibilities
- Work with open source tools like PyTorch, Jax, Ray and others
- Run data based ablation studies
- Use open source or train models to extract signals from large volumes of speech data to drive modeling improvements
Other
- Real passion for building research demo prototypes and turning them into production quality design/implementation
- Strong interpersonal skills to work well with engineering teams
- 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
