Machine Learning Engineer - Apple Store Online

Lex; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Apple is seeking a passionate, highly motivated, hands-on applied Machine Learning Engineer to lead the Online Retail Decision Automation effort. You will research and develop next-generation algorithms for product search, recommendations, personalization, and Generative AI, impacting millions of customers daily.

In this fast-paced role, you will mentor other MLEs, collaborate with cross-functional teams, and build scalable end-to-end ML solutions for our retail ecosystem, contributing to a

Qualifications

• 3+ years of related experience building high throughput scalable applications or building machine learning models.
• Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and experience building distributed systems.
• Strong communication, problem solving, and strategic thinking.
• Bachelor’s degree in Computer Science, Applied Mathematics, Statistics, or equivalent experience.

Responsibilities

• Collaborate with MLEs to build scalable, production-ready ML solutions from concept to deployment.
• Contribute to ML infrastructure and tooling improvements.
• Stay up-to-date with latest ML and software engineering advances; mentor other MLEs.
• Drive end-to-end solutions with cross-functional teams (PMs, researchers, engineers).
• Work in a fast-paced hands-on development environment.

Skills

Python

Java

C++

Distributed systems

Machine learning

Communication

Problem solving

Education

Bachelor's degree in Computer Science or related field

Tools

Spark

SQL

Snowflake

Hadoop

Job description

Summary

Imagine what you could do here! The people here at Apple don’t just create products — they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work.

Here on the Apple Store Online team, we are responsible for Apple’s largest store. Our main goal is to deliver a magical, personal digital experience where customers can shop, buy and learn everything Apple, wherever they are. Each customer should feel like they are our only customer and our job is to set the bar for the experience they receive. To run such an extraordinary store, it takes extraordinary people, and we are looking for someone to help us do extraordinary things.

We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer. You will lead the way on our Online Retail Decision Automation team by researching and developing the next generation of algorithms used to drive the Apple Online experience! This role spans central areas of our Apple Online Store including developing models for product search, recommendation systems (e.g. ranking, page generation), personalization (e.g. evidence, messaging, marketing), Generative AI and optimizing Apple-wide systems & infrastructure. As a member of the fast-paced team, you will have the outstanding and great opportunity to be part of a new projects and craft upcoming products that will delight and encourage millions of Appleʼs customers every day.

Description

To be successful, you need a strong machine learning background, proven software development skills, a love of learning, and to collaborate with cross-functional teams, including researchers, engineers, data scientists/analysts, and product managers, to develop and implement machine learning algorithms. You’ll mentor other MLE’s and lead an effort to build scalable end-to-end machine learning solutions for our retail customers

Responsibilities

• Collaborate with other MLEs to build scalable, production-ready ML solutions, taking algorithms from initial concept through to deployment
• Contribute to the ongoing improvement of our ML infrastructure and tooling
• Engage in continuous learning and development, staying up-to-date with the latest advances in machine learning and software engineering
• Ability to drive end to end solution collaborating with other MLEs and PMs
• Ability to work in a fast pace hands on development organization

Minimum Qualifications

• 3+ years of related experience building high throughput scalable applications or building machine learning models
• Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and experience building distributed systems
• Skilled in communication, problem solving, strategic thinking
• Bachelors in a quantitative field, such as Computer Science, Applied Mathematics, or Statistics, or equivalent professional experience

Preferred Qualifications

• Experience building data processing pipelines and large scale machine learning platforms with experience in big data technologies like Spark, SQL, Snowflake/Hadoop, etc
• Experience operationalizing distributed applications
• Experience building full stack applications for big data analysis, feature extraction and annotations

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Role Number: 200663515-0321