Machine Learning Engineer - Apple Store Online

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

Job summary

Apple is seeking a passionate Machine Learning Engineer to join their Online Retail Decision Automation team in Bengaluru, India. The role involves leading initiatives to develop algorithms enhancing the Apple online shopping experience, focusing on areas such as product search and recommendation systems.

Ideal candidates will have over 3 years of experience, proficiency in programming languages such as Python and Java, along with the capacity to collaborate within a fast-paced environment. Join Apple for a chance to work with innovative technologies that touch millions of customers.

Qualifications

• 3+ years of experience building high throughput scalable applications.
• Proficiency in object-oriented programming languages like Python, Java, or C++.
• Skilled in communication, problem solving, and strategic thinking.

Responsibilities

• Collaborate to build scalable, production-ready ML solutions.
• Contribute to improvement of ML infrastructure and tooling.
• Engage in continuous learning in machine learning and software engineering.

Skills

Machine Learning

Python

Java

C++

Communication

Problem Solving

Strategic Thinking

Education

Bachelor’s in Computer Science

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.

Description

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 new projects and craft upcoming products that will delight and encourage millions of Apple customers every day.

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‑paced 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
• Bachelor’s 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

Accessibility

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