Want to contribute to the platform enabling the next generation of intelligent experiences in Apple products & services? Our group builds web-based tools that machine learning engineers from many Apple organizations depend on to create high impact product features.
As a senior software engineer on our team you will lead the design and implementation of major new pieces of our popular internal machine learning platform. Youll work with data scientists and ML engineers to identify useful and innovative functionality for model training and evaluation pipelines and then make it happen.
Our friendly, enthusiastic, and accomplished team is actively growing; you will be encouraged and supported to do the best work of your career here, and you will have tremendous opportunity for impact. We offer a flexible, family-friendly working environment and a wide range of benefits.
This role includes the following responsibilities and requirements:
Architecture, design, development, debugging, documentation, and operation of large-scale systems designed for machine learning. This includes distributed systems for data management and computation as well as web oriented APIs and user interfaces. You should be comfortable and eager to work on either the front or back end of web based products.
Partner with data scientists and ML engineers across different Apple organizations to define high impact product features and deliver them with quality. Take pride and ownership in delivering delightful user experiences.
Be able to stay on top of state-of-the-art technologies and apply them in the job.
Lead other engineers and demonstrate best practices for software engineering. Support and mentor junior engineers.
Be knowledgable and productive with a wide variety of front and back-end technologies. Experience with any of the following technologies is particularly desirable: TypeScript, Python, Go, Java, HTML/CSS, React, Redis, PostgreSQL, Kafka, Spark, Solr or ElasticSearch, Docker/Kubernetes, AWS, Git.
Previous experience with machine learning pipelines, model evaluation, and data visualization is a plus.