Apple is looking to make Siri and Apple products more intelligent for their users by improving the data and infrastructure ecosystem needed to support ML development and continuously improve features for the Siri Attention and Invocation team.
Requirements
- Strong background in computer science: algorithms, data structures and system design
- In-depth knowledge and experience with the following technologies: Python, Docker, Cloud Infrastructure, Spark
- Expertise in developing and debugging software service stacks
- Familiar with one of the popular ML Frameworks like Pytorch, Tensorflow
- Familiar with workflow orchestrators like Airflow or Kubeflow
- Developed tools and services to optimize ML systems beyond model selection
Responsibilities
- help us create the data and infrastructure ecosystem needed to support our ML development and continuously improve our features
- take full end-to-end ownership of our services and data products, driving them through every stage meticulously, encompassing conception, design, implementation, deployment, and maintenance
- work on complex problems in close partnership with our ML Modeling teams, Infrastructure, Software, Hardware and Operations
- developing and debugging software service stacks
- optimize ML systems beyond model selection
Other
- At least 4+ years of relevant industry experience
- Excellent interpersonal skills able to work independently as well as cross-functionally
- Bachelors degree in Computer Science, Engineering, or related discipline, or equivalent industry experience
- Apple is an equal opportunity employer that is committed to inclusion and diversity.
