Senior AIML Data Pipelines Architect — Scalable, Cloud-Driven

Apple Inc.; Cupertino (CA); On-site; USD 171,000 - 300,000; Full time

Benefits offered by this job

Medical & dental coverage

Retirement benefits

Stock programs

Tuition reimbursement

Relocation assistance

Discounted products & services

Job summary

Apple Inc. in Cupertino, CA, seeks a senior software engineer to manage petabytes of data for machine learning applications and to design scalable data processing frameworks and ML pipelines. You will ensure complete data lineage and legal workflow integration while optimizing performance and scalability.

Responsibilities include monitoring system performance, cost optimization, and rapid issue resolution, plus collaborating with cross-functional teams to deliver high-quality software solutions.

Qualifications

• Over 10 years of software engineering experience with strong CS fundamentals.
• Strong in data structures and algorithms; write quality code with tests and review PRs in fast-paced environments.
• Proficient in Scala and/or Java.
• Proficient in scripting languages (Python, Bash, Go).
• Experience with distributed data systems (Hadoop, Spark, Kafka, Flink).
• Experience with public cloud platforms, preferably AWS.

Responsibilities

• Manage petabytes of data for machine learning applications.
• Design and implement new frameworks to build scalable data processing workflows and ML pipelines.
• Ensure complete data lineage and legal workflow integration; optimize performance and scalability.
• Monitor system performance, optimize for cost and efficiency, and resolve issues.
• Collaborate with cross-functional teams to deliver high-quality software solutions.

Skills

Software engineering

Data structures & algorithms

Scala

Java

Python

Bash

Go

Distributed data systems

AWS

Collaboration

Education

BS/MS/PhD in Computer Science

Tools

Hadoop

Spark

Kafka

Flink

AWS

Job description

Apple Inc. in Cupertino, CA, seeks a senior software engineer to manage petabytes of data for machine learning applications and to design scalable data processing frameworks and ML pipelines. You will ensure complete data lineage and legal workflow integration while optimizing performance and scalability.

Responsibilities include monitoring system performance, cost optimization, and rapid issue resolution, plus collaborating with cross-functional teams to deliver high-quality software solutions.