ML Engineering Manager — Real-Time Decisioning

Apple; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Apple's Strategic Data Solutions (SDS) team in Singapore is seeking a manager to lead a team of data scientists and ML engineers, crafting analytical solutions with measurable impact for Apple and its customers.

You will build and mentor a team of software developers and ML engineers, design real-time decisioning systems for fulfilment and financial products, and collaborate with data engineers and platform architects to deploy robust production solutions across contexts.

Qualifications

• Graduate degree in a quantitative field or equivalent experience.
• Experience leading a team of ML/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 deploy robust production solutions.
• Engage with business partners to understand requirements and design technical solutions.
• Review production code and logic for tightly integrated systems.
• Distill complex topics for business and engineering stakeholders.

Skills

Team leadership

ML engineering

Real-time systems

SQL

Data storytelling

System design

Communication skills

Production software

Education

Graduate degree in quantitative field

Tools

Distributed databases

Data warehousing

Data pipelines

Job description

Apple's Strategic Data Solutions (SDS) team in Singapore is seeking a manager to lead a team of data scientists and ML engineers, crafting analytical solutions with measurable impact for Apple and its customers.

You will build and mentor a team of software developers and ML engineers, design real-time decisioning systems for fulfilment and financial products, and collaborate with data engineers and platform architects to deploy robust production solutions across contexts.