Machine Learning Engineer - Retail Decision Automation

Key Skills

Algorithms, Analytical and Problem solving, C Programming, C++, Deep Learning, Effective communication skills, Machine learning techniques, Multi armed bandit models, Natural Language Processing (NLP), Probabilistic Graphical Models, Python Programming, PyTorch, Statistics, TensorFlow

Job Description

This 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), media assets generation 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 Apple’s customers every day.

Key Qualifications

• 3-5+ years experience as a Machine Learning Engineer
• Experience in Recommendation Systems, Personalization, Search, Computational
• Advertising or Natural Language Processing
• Strong programming skills in Java, C/C++, Python, or similar language
• Experience developing enterprise production machine learning models
• Excellent problem solving and analytical skills
• Excellent communication and collaboration skills
• Passion for delivering business impact
• Experience with Spark, TensorFlow, Keras, and PyTorch a plus
• Experience using Deep Learning, Bandits, Probabilistic Graphical Models, or
• Reinforcement Learning in real applications a plus

Description

In this role, you will conceptualize, design, and develop core algorithms that power our buy- flows and personalize the experience across the Apple Online Store. This includes developing production algorithms for search, recommendations and personalization, running offline experiments and building online A/B tests to run in production systems. To be successful, you need a strong machine learning background, proven software development skills, a love of learning, and to collaborate well in multi-disciplinary teams. You will need to exhibit strong communication and leadership skills, an ability to set priorities, and an execution focus in a multifaceted environment. The team responsibilities include: model development and deployment on-device and web, developing back-end data pipelines, and producing automation processes for machine learning tasks. You will closely collaborate with other engineering teams (including Hardware, QA, Infrastructure) to ensure the solutions are meeting the highest quality standards.

Education & Experience

Ph.D. or Masters in a quantitative field, such as Computer Science, Applied Mathematics, or Statistics, or equivalent professional experience.

Additional Requirements

• Apple is an equal opportunity employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.
• We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.