ML Engineer - Online Retail Personalization & Search

Apple Inc.; Austin (TX); On-site; USD 100,000 - 130,000; Full time

Job summary

Apple Inc., located in Austin, Texas, is seeking a Machine Learning Engineer for the Apple Store Online team. The role involves developing algorithms to enhance the online shopping experience and implementing scalable ML solutions.

The ideal candidate will have a strong background in machine learning, programming in Python or Java, and experience with big data technologies. A collaborative approach and passion for innovation are essential for success in this position.

Qualifications

• Proficiency in one or more object-oriented programming languages such as Python, Java, C++.
• Hands-on experience with building data processing pipelines and large scale machine learning systems.
• Bachelor's in a quantitative field such as Computer Science, Applied Mathematics, or Statistics.

Responsibilities

• Collaborate to build scalable, production-ready ML solutions.
• Contribute to improving ML infrastructure and tooling.
• Engage in continuous learning and stay updated with advances in ML.

Skills

Proficiency in Python or Java

Experience building distributed systems

Knowledge of big data technologies

Experience with deep learning frameworks

Problem solving and strategic thinking

Education

Bachelor's degree in Computer Science or related field

Tools

Spark

TensorFlow

Keras

PyTorch

Job description

Apple Inc., located in Austin, Texas, is seeking a Machine Learning Engineer for the Apple Store Online team. The role involves developing algorithms to enhance the online shopping experience and implementing scalable ML solutions.

The ideal candidate will have a strong background in machine learning, programming in Python or Java, and experience with big data technologies. A collaborative approach and passion for innovation are essential for success in this position.