Sr. ML Infrastructure Engineer, Siri Runtime Systems and Interaction

Job description

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something.

Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there’s no telling what you could accomplish.

Do you want to make Siri and Apple products more intelligent for our users? The Siri Attention and Invocation team is the front door to Siri. We make sure all our Apple costumers can invoke Siri how and when they want to.
As part of the Data and Tooling team, you will help us create the data and infrastructure ecosystem needed to support our ML development and continuously improve our features.

We 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. As a result, each one of us takes our responsibilities seriously. In this team, you’ll have the opportunity to work on complex problems in close partnership with our ML Modeling teams, Infrastructure, Software, Hardware and Operations.
<h3>Minimum Qualifications</h3>At least 4+ years of relevant industry experience with the following:
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
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
<h3>Preferred Qualifications</h3>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