Job Details

AI/ML - Senior Data Engineer, ML Platform & Technology

Advertiser
Apple
Location
Miami, Florida, United States
Rate
-
Summary Apple builds world-class innovative products that integrate hardware with intelligent software experiences using machine learning, artificial intelligence, and computer vision. Machine Learning Platform and Technologies (MLPT) is the team that makes it possible for Apple engineers to innovate ML driven product features rapidly and at scale. The team enables future Apple intelligent products by making cutting edge ML technologies, large scale compute and data systems designed specifically for ML available to engineers within Apple. Come join the team that is making ML innovation possible here at Apple. We are looking for exceptional engineers with experience building large-scale compute and data systems to create a horizontal, strategic and long term analytics platform for the MLPT ecosystem, capturing the data needed to identify optimizations to improve overall compute/storage efficiency in ML engineer workloads. We exemplify a team of nerdy, pragmatic, proficient, product-focused engineers. Want to join us?Key Qualifications 5+ years experience working with Spark or other big data architectures (Hadoop, Mapreduce) in high-volume environments.3+ years of coding with object-oriented/object function scripting languages: Python, Scala, Java. 3+ years of building and managing data pipelines from inception to production rollout.Experience supporting hosted services in a high-volume customer facing environment.Experience with SQL and database knowledge for modifying queries and tables.In-depth experience building solutions using public clouds (Azure, AWS, GCP)Experience with and knowledge of machine learning libraries/packagesComfortable working in earlier stages of product development with ambiguous requirementsBonus points for being able to contribute back to the open source communityDescription As a data engineer on the team you will : your responsibilities include all phases of development, from architecture and design to implementation and customer engagement. We are looking for someone that has an eye for design, is able to communicate well with members outside the team and play an active role in the future roadmap. These may include, but not limited to, data management systems, data engineering workflow systems, distributed compute systems, and their web portal & web service components.You will have the unique opportunity to work with different team across MLPT & work with them to understand their use cases & help them to achieve high quality features with quality. In this role you are building the platform upon which other teams will develop data pipelines and machine learning applications.Education & Experience Bachelor's Degree or foreign equivalent in Computer Science, or related field, or equivalent experience.

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