Job Location: Austin, TX
Summary
Posted: Aug 4, 2022
Role Number:200352921
We are looking for a Data Scientist to 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 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. This position is based in Austin, TX.
Key Qualifications
- 2+ 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
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