Applied ML Data Platform Engineer

Socket.dev; Sunnyvale (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

Apple is seeking a Software Engineer to design and build the next generation of Applied Machine Learning Data Platforms. You will work on scalable data pipelines, data warehousing, and analytics to support ML models and large-scale inference across Apple services.

You will apply hands-on experience with Spark, Trino, Flink, Python, and SQL in a cloud-based, high-concurrency environment. Join a team driving data-driven decisions across Apple platforms and manufacturing.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, or a related field.
• 4+ years of data engineering experience.
• 4+ years in data warehousing, big data, and analytics.
• Experience writing Spark, Trino, Flink, Python and SQL for large-scale data platforms.

Responsibilities

• Design, build, and enhance a scalable data platform for AI/ML workloads.
• Develop data pipelines and services to support analytics and model deployment at scale.
• Collaborate with ML engineering, data science, and platform teams to improve data tooling and workflows.

Skills

Spark

Trino

Flink

Python

SQL

Data Warehousing

Big Data

Cloud Platforms

Education

Bachelor's degree in CS/IS or related

Tools

Kafka

Cloud Platforms (AWS/GCP/Azure)

Job description

Apple is seeking a Software Engineer to design and build the next generation of Applied Machine Learning Data Platforms. You will work on scalable data pipelines, data warehousing, and analytics to support ML models and large-scale inference across Apple services.

You will apply hands-on experience with Spark, Trino, Flink, Python, and SQL in a cloud-based, high-concurrency environment. Join a team driving data-driven decisions across Apple platforms and manufacturing.