Fulfillment ML Engineer — Data-Driven Solutions

Apple Inc.; Cupertino (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Apple Inc. in Cupertino seeks a Machine Learning Engineer for Strategic Data Solutions.

You will translate business problems into technical solutions, design data-driven approaches, and collaborate with partners to deploy real-time and batch decisioning for Fulfillment Operations, with impact on customer experience. You will build data pipelines and scalable infrastructure, write clean code, monitor model quality, and communicate results to stakeholders across technical levels.

Qualifications

• Graduate degree with research/work experience in data science or related field.
• At least 3 years building and deploying programmatic data solutions.
• Experience in Python or a similar programming language.
• Theoretical understanding of ML algorithms and their strengths/weaknesses.
• Ability to use SQL to extract insights from data.
• Experience with version control and modern development workflows.
• Strong teamwork and communication skills.

Responsibilities

• Translate ambiguous business problems into technical solutions.
• Design data-driven solutions balancing established techniques with custom approaches.
• Collaborate to implement real-time and batch decisioning in production.
• Build and maintain data pipelines, distributed systems, and infrastructure for fulfillment operations.
• Write clean, testable code and establish best practices for quality and reliability.
• Create reporting and monitor decisioning quality to maintain metrics health.
• Communicate with stakeholders with varying technical backgrounds about your work.
• Share learnings to improve the team's technical capabilities.

Skills

Data science

Machine learning

SQL querying

Communication

Team collaboration

Problem solving

Proactive learner

Education

Graduate degree

PhD preferred

Tools

Python

SQL

Git

Job description

Apple Inc. in Cupertino seeks a Machine Learning Engineer for Strategic Data Solutions.

You will translate business problems into technical solutions, design data-driven approaches, and collaborate with partners to deploy real-time and batch decisioning for Fulfillment Operations, with impact on customer experience. You will build data pipelines and scalable infrastructure, write clean code, monitor model quality, and communicate results to stakeholders across technical levels.