Full-Stack Software Engineer for Data & ML Platforms

Apple Inc.; San Francisco (CA); On-site; USD 150,000 - 225,000; Full time

Benefits offered by this job

Medical and dental coverage

Retirement benefits

Stock programs

Tuition reimbursement

Relocation assistance

Employee discounts

Job summary

Apple Inc. in the San Francisco Bay Area seeks a Full Stack Software Engineer to build user-facing applications and backend services for Data and ML platforms, including insights portal, data observability, data lineage, and model hub.

You will develop microservices and REST APIs, work with SQL/NoSQL data stores, and contribute to cloud-native solutions, dashboards, and visualizations using tools like D3 or Highcharts.

Qualifications

• 4 years of hands-on proficiency with Java and/or Python or similar language for back-end development
• 4 years work with data structures and algorithms
• 4 years experience developing micro-services and REST APIs
• 4 years experience with SQL and/or NoSQL data stores
• Bachelor's degree in computer science or related field, or equivalent practical experience

Responsibilities

• Build and maintain user-facing applications and backend services behind our Data and ML platforms, including insights portal, data observability, data lineage, model hub, and data visualization
• Develop and extend APIs and microservices to power dashboards and BI tools
• Collaborate with cross-functional teams to deliver scalable, reliable software under tight deadlines

Skills

Java

Python

Data structures

Algorithms

Education

Bachelor's degree in computer science or related field

Tools

REST APIs

Microservices

SQL

NoSQL

Job description

Apple Inc. in the San Francisco Bay Area seeks a Full Stack Software Engineer to build user-facing applications and backend services for Data and ML platforms, including insights portal, data observability, data lineage, and model hub.

You will develop microservices and REST APIs, work with SQL/NoSQL data stores, and contribute to cloud-native solutions, dashboards, and visualizations using tools like D3 or Highcharts.