ML Engineering Manager - Real-Time Decisioning Leader

Apple Inc.; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

Apple Inc. in Singapore is seeking a senior manager to lead a team of data scientists and ML engineers, delivering end-to-end analytical solutions with measurable impact for Apple and its customers.

You will mentor ML and software engineers, design real-time decisioning systems for fulfilment and financial programs, and collaborate with data engineers and platform architects to implement robust production solutions.

Qualifications

• Graduate degree in a quantitative field or equivalent professional experience.
• Experience leading a team of ML engineers and software engineers.
• Experience training, deploying, and maintaining decisioning algorithms.
• Familiarity with distributed databases, data warehousing, and SQL.
• Ability to design real-time or batch ML applications with data pipelines.

Responsibilities

• Lead and mentor a team of software developers and machine learning engineers.
• Design and maintain real-time automated decisioning systems for fulfilment and financial products.
• Collaborate with data engineers and platform architects to implement production real-time and batch solutions.
• Engage with business partners and translate requirements into technical solutions.
• Review production code and logic for highly integrated systems.
• Analyze data to tell meaningful stories for business partners.
• Support innovation and growth through experimentation.

Skills

Team leadership

Data storytelling

Systems thinking

Communication

ML deployment

Business insights

Problem solving

Production software

Education

Graduate degree in quantitative field

Tools

SQL

Data warehousing

Distributed databases

Data pipelines

Production software development

Job description

Apple Inc. in Singapore is seeking a senior manager to lead a team of data scientists and ML engineers, delivering end-to-end analytical solutions with measurable impact for Apple and its customers.

You will mentor ML and software engineers, design real-time decisioning systems for fulfilment and financial programs, and collaborate with data engineers and platform architects to implement robust production solutions.