AI/ML - Software Engineer - ML & Platform Technology
Pittsburgh, Pennsylvania, United States
Software and Services
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 software engineer on our team you will help build our popular internal machine learning platform. You’ll work with data scientists and ML engineers to create and deploy innovative functionality for model training and evaluation pipelines. 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. Pittsburgh is regularly recognized as one of the United States’ most livable cities and our office is located on the campus of Carnegie Mellon University, one of the world’s top research universities for computer science. We offer a flexible, family-friendly working environment and a wide range of benefits.
- Solid software development skills, and a passion for code quality.
- Strong foundation in computer science fundamentals including data structures and algorithms.
- Creative, collaborative, and focused on user experience and value.
- Can independently prioritize and make progress on multiple work streams.
- Excellent written and verbal communication skills.
This role includes the following responsibilities and requirements: 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 have some experience with the front or back end of web based development and be eager to work on either. Take pride and ownership in delivering delightful user experiences. 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.
Education & Experience
B.S. or M.S. in Computer Science or related field
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