Machine Learning Engineer, Applied Data Science Program

About the position

The Machine Learning Engineer position within the Applied Data Science Program at Apple focuses on building sophisticated and scalable data products and critical data pipelines. This role is designed for entry-level talent and involves practical work experience through project-based rotations across various teams. The goal is to leverage data analysis and predictive modeling techniques to create operational solutions that significantly impact the company and its customers.

Responsibilities

• Translate ambiguous business problems into technical solutions by collaborating with business partners.
• Design, develop, deploy, and maintain data science-driven solutions that drive key business decisions.
• Create tools to support self-service analytics, geospatial analytics, and automated disaster recovery.
• Develop, deploy, and operationally support machine-learning models to address threats to Apple's ecosystem.
• Apply data science to core finance processes to automate and enhance capabilities.

Requirements

• Strong understanding of machine learning algorithms and data science principles.
• Experience with data analysis and predictive modeling techniques.
• Proficiency in programming languages such as Python or R.
• Ability to work collaboratively in a team environment.
• Familiarity with data visualization tools and techniques.

Nice-to-haves

• Experience with geospatial analytics.
• Knowledge of automated disaster recovery processes.
• Familiarity with real-time reporting systems.

Benefits

• Health insurance coverage.
• 401k retirement savings plan.
• Paid holidays and vacation time.
• Professional development opportunities.