Machine Learning Engineer, Strategic Data Solutions

Apple Inc.; Singapore; On-site; SGD 120,000 - 190,000; Full time

Job summary

Apple Inc. is seeking a Machine Learning Engineer for Strategic Data Solutions to translate business problems into technical ML solutions that optimize Apple's fulfillment operations.

The role involves designing data-driven approaches, building production pipelines, and collaborating with cross-functional teams to improve efficiency and security with measurable impact. Ideal candidates have a PhD or strong graduate-equivalent background, 3+ years applying ML at scale, and proficiency in Python,

Qualifications

• Graduate degree with research/work experience utilizing data science techniques (e.g., CS, Statistics)
• At least 3 years practical experience building and deploying programmatic data science solutions
• Proficiency in Python or similar programming language and data analysis
• Experience with SQL querying and version control systems
• Strong problem solving, communication, and collaboration skills

Responsibilities

• Engage with stakeholders to translate ambiguous business problems into technical solutions
• Design data-driven solutions balancing established techniques with custom approaches
• Collaborate with partners 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 across backgrounds about your work
• Share learnings about emerging technologies to improve team capabilities

Skills

Python programming

Data analysis

Machine learning

Communication

Team collaboration

Education

PhD in related field

Graduate degree with data science research/experience

Bachelor’s degree with equivalent experience

Tools

Python

SQL

Git

Linear programming

Job description

Machine Learning Engineer, Strategic Data Solutions

Do you love the challenge of solving complex problems that can have a direct and meaningful impact on the company? Do you want to be part of a supportive team that's constantly learning and having fun while solving tough business problems? We'd love to talk to you if you do!

Strategic Data Solutions empowers internal partners and optimizes the customer experience by delivering data-driven solutions across Apple - from fraud mitigation and security to supply chain optimization and fulfillment. This role is on our Fulfillment Operations team, where the enormous scale and complexity of Apple's global supply chain present exciting opportunities for applying machine learning and optimization to real-world logistics problems.

As a Machine Learning Engineer on this team, you will work with partners across Apple, sometimes using machine learning and optimization techniques to design, build, deploy, and maintain end-to-end solutions that improve operational efficiency and security, with a direct, measurable impact on the company and our customers.

Our commitment to you: We will provide challenging problems that will engage your curiosity. We will provide an organizational culture that values collaboration, problem-solving, and work-life balance. We will provide mentorship to further develop your technical and leadership skills.

Description

• Engage with stakeholders to translate ambiguous business problems into technical solutions
• Design data-driven solutions, balancing established techniques with custom approaches where they add value
• Collaborate with technical partners to implement robust real-time and batch decisioning in production
• Build and maintain data pipelines, distributed systems, and infrastructure that power fulfillment operations
• Write clean, testable, maintainable code and establish best practices for code quality and system reliability
• Create reporting and monitor decisioning quality to maintain operational and business metric health
• Communicate with stakeholders with varying technical backgrounds and business priorities about your work
• Share what you're learning about emerging technologies and methods to improve your team's overall technical capabilities

Preferred Qualifications

• PhD in a related field (e.g., Computer Science, Statistics, Operations Research, or similar)
• 4+ years of practical experience building solutions at scale in Python or another programming language.
• Experience with fulfillment operations, supply chain, operations research or mathematical optimization techniques (e.g., linear programming).
• Demonstrate ability to think holistically about system structures and interactions in order to anticipate technical, business, and customer impact.
• Solid grasp of computer science fundamentals including data structures and algorithms.
• Building technical solutions by using machine learning techniques a plus.
• Experience with AI-assisted coding tools.

Minimum Qualifications

• Graduate degree with research/work experience utilizing data science techniques (including but not limited to Computer Science, Statistics, etc) or Bachelor's degree with equivalent experience
• At least 3 years of practical experience (acquired through work, independent projects, or academic research) in building and deploying programmatic solutions to answer real-world questions
• Practical experience implementing data science applications in Python or a similar programming language
• Theoretical understanding of machine learning algorithms and their relative strengths and weaknesses
• Ability to use a querying language such as SQL to extract insights from data
• Experience working with version control systems and modern development workflows
• Team-oriented skills and values to facilitate effective collaboration with business and technical partners
• Excellent problem solving, critical thinking, and communication skills to translate complex concepts and analysis into concise, business-focused solutions
• Self-motivated, proactive, fast learner and solution-oriented

We're a diverse collective of thinkers and doers, continually reimagining what's possible to help us all do what we love in new ways. And the same innovation that goes into our products also applies to our practices - strengthening our commitment to leave the world better than we found it. This is where your work can make a difference in people's lives. Including your own.

We're a diverse collective of thinkers and doers, continually reimagining what's possible to help us all do what we love in new ways. And the same innovation that goes into our products also applies to our practices - strengthening our commitment to leave the world better than we found it. This is where your work can make a difference in people's lives. Including your own.