Apple Media Products – Senior Research/Machine Learning Engineer, Analytics

Job Overview

Key Qualifications

Strong knowledge of Java or Scala and distributed algorithms

Proficiency in Spark, Java MapReduce development and experience with Hadoop or other data processing technologies required

Experience with developing large-scale data warehousing, data mining or analytic systems

Experience with implementing Machine learning based applications are required.

Strong object-oriented design skills, coupled with a deep knowledge of data structures and algorithms

Excellent communication skills for requirement gathering and clarification

Strong sense of initiative and ability to drive projects to completion

Knowledge of Python is a plus

Knowledge of Hadoop-related technologies such as Azkaban, Oozie, HBase, Hive or Pig is a plus

Programming experience, preferably in Java, Scala

Description

The Apple Media Products Analytics team is responsible for collecting, processing, analyzing, and reporting on customer experience data. From the raw data collected we generate various feature datasets, such as aggregates and funnels, which are used to improve how customers interact with our products. You will work on a small team that is responsible for collecting requirements from data scientists and analysts, translating them into engineering specs, working with other teams on instrumentation and data quality, and developing datasets and machine learning features used for analytics and research. Solid engineering skills matters — you will be expected to write code that is robust, reusable, testable and maintainable, paying special attention to data quality and performance details. We are looking for a research engineer who can proactively drive projects to delivery, has excellent communication skills, sweats the details, and cares about how the data they produce is interpreted and used. Teamwork is important to you — you readily contribute to design discussions, and are able to both give and receive constructive code reviews. Your curiosity drives you to explore new technologies and apply creative solutions to problems.

Education & Experience

BS, MS or PhD degree in Computer Science, Computer Engineering, or equivalent experience. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

View More