ML Engineer – Online Retail Personalization & Recommendations

Apple, Inc.; Jackson (TN); On-site; USD 129,000 - 225,000; Full time

Benefits offered by this job

Medical and dental coverage

Retirement benefits

Employee stock programs

Education reimbursement

Bonuses/commission

Relocation assistance

Job summary

Apple, Inc. Store Online is seeking a passionate, hands-on applied Machine Learning Engineer to lead development of models for product search, recommendations, and personalization across the Apple Online experience.

This role spans central areas of our Apple Online Store including Generative AI and optimizing Apple-wide systems and infrastructure. You will collaborate with researchers, engineers, data scientists/analysts, and product managers to deploy scalable end-to-end ML solutions for our

Qualifications

• Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and experience building highly scalable distributed systems.
• Hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (eg: Spark, SQL, Snowflake/Hadoop, etc)
• Bachelor’s in a quantitative field, such as Computer Science, Applied Mathematics, Statistics, or Bachelors degree in quantitative field with a focus on AI in coursework

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

Skills

Python

Java

C++

Distributed systems

Data pipelines

Big data

Education

Bachelor’s in Computer Science / Applied Mathematics / Statistics or AI-focused coursework

Tools

Spark

SQL

Snowflake/Hadoop

TensorFlow

Keras

PyTorch

Job description

Apple, Inc. Store Online is seeking a passionate, hands-on applied Machine Learning Engineer to lead development of models for product search, recommendations, and personalization across the Apple Online experience.

This role spans central areas of our Apple Online Store including Generative AI and optimizing Apple-wide systems and infrastructure. You will collaborate with researchers, engineers, data scientists/analysts, and product managers to deploy scalable end-to-end ML solutions for our