Machine Learning Engineer
Not Disclosed•Full-TimeOn-site
location_onPlanifyr
About Apple
The people 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.
About the Team
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.
About the Role
We are looking for a passionate, highly motivated, and hands-on Applied Machine Learning Engineer to lead the way on our Online Retail Decision Automation team. You will research and develop 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 and infrastructure.
As a member of this fast-paced team, you will have the outstanding opportunity to be part of new projects and craft upcoming products that will delight and encourage millions of Apple's customers every day. You will mentor other Machine Learning Engineers and lead an effort to build scalable end-to-end machine learning solutions for our retail customers, taking algorithms from initial concept through to deployment.
Work location
Work model: On-site
Planifyr
Key Responsibilities
- check_circleBuild scalable, production-ready machine learning solutions from concept to deployment
- check_circleContribute to the ongoing improvement of ML infrastructure and tooling
- check_circleMentor other Machine Learning Engineers and lead end-to-end solution efforts
- check_circleResearch and develop next-generation algorithms for product search and recommendation systems
- check_circleDevelop data processing pipelines and large-scale machine learning platforms
- check_circleDesign and implement personalization models for evidence, messaging, and marketing
- check_circleLead the development of Generative AI solutions to enhance the Apple Online experience
- check_circleCollaborate with cross-functional teams to operationalize distributed applications
Requirements
- verified3+ years of related experience building high throughput scalable applications or building machine learning models
- verifiedProficiency in one or more object-oriented programming languages such as Python, Java, C++
- verifiedBachelors in a quantitative field, such as Computer Science, Applied Mathematics, or Statistics, or equivalent professional experience
- verifiedExperience building data processing pipelines and large scale machine learning platforms with experience in big data technologies like Spark, SQL, Snowflake/Hadoop
- verifiedExperience operationalizing distributed applications
- verifiedExperience building full stack applications for big data analysis, feature extraction and annotations
Nice to Have
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.
Similar Job Opportunities
Skills, education and keywords
Skills: Machine Learning, Python, Java, C++, Spark, SQL, Snowflake, Hadoop.
Education: Bachelor's in a quantitative field or equivalent professional experience.
Frequently asked questions about Machine Learning Engineer at Apple
What does a Machine Learning Engineer at Apple do?expand_more
A Machine Learning Engineer at Apple is responsible for the following: Build scalable, production-ready machine learning solutions from concept to deployment; Contribute to the ongoing improvement of ML infrastructure and tooling; Mentor other Machine Learning Engineers and lead end-to-end solution efforts; and Research and develop next-generation algorithms for product search and recommendation systems.
What are the requirements for this Machine Learning Engineer role?expand_more
To qualify for the Machine Learning Engineer at Apple position, applicants should have: 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++; Bachelors in a quantitative field, such as Computer Science, Applied Mathematics, or Statistics, or equivalent professional experience; Experience building data processing pipelines and large scale machine learning platforms with experience in big data technologies like Spark, SQL, Snowflake/Hadoop; Experience operationalizing distributed applications; and Experience building full stack applications for big data analysis, feature extraction and annotations.
Where is the Machine Learning Engineer role at Apple located?expand_more
Machine Learning Engineer at Apple is based in Planifyr. This is a on-site role.
Is this Machine Learning Engineer job remote, hybrid, or on-site?expand_more
Apple has listed this Machine Learning Engineer role as on-site.
How much experience is required for this Machine Learning Engineer role?expand_more
Machine Learning Engineer at Apple typically requires 3+ years of relevant experience at the mid level level.
What skills do you need for the Machine Learning Engineer role at Apple?expand_more
Key skills for Machine Learning Engineer at Apple include Machine Learning; Python; Java; C++; Spark; SQL; Snowflake; and Hadoop.
What education is required for Machine Learning Engineer at Apple?expand_more
Educational requirements for this role: Bachelor's in a quantitative field or equivalent professional experience.
What category does the Machine Learning Engineer role belong to?expand_more
Machine Learning Engineer at Apple is part of the engineering job category on Recrutus.