Open Data Science job portal

Apple Media Products (AMP) – Software Data Engineer – Machine Learning 54 views

Apple is looking for a strong Software Data Engineer with Machine Learning experience for their Apple Media Products (AMP) division to build and maintain highly scalable data pipelines and systems.

The role involves building and engineering large scale, robust and resilient big data pipelines. AMP is responsible for services including App Store, Apple Music, Apple TV+, Podcasts, and Book Store.

Their services reach hundreds of millions of customers around the globe and have revolutionized how they interact with digital media. Their Engineering team is looking for hardworking, performance-savvy, engineers to build out the big data platform and services which power many of these customer features — existing and new.

Key Qualifications

Experience with pipelines and architectures that support the deployment of machine learning algorithms and production applications

Proven understanding and experience in data warehousing, data modelling and data structures.

Experience implementing and supporting highly scalable data systems and services.

Prior experience working with big data technologies and distributed systems (e.g. Hadoop, Spark)

Proficiency working in Scala, Java, SQL and Python

Experience with streaming technologies including Kafka, Kinesis a plus

Knowledge of PIIs and GDPR compliance to meet privacy standards a plus

Description

This is your opportunity to help engineer highly visible global-scale systems with petabytes of data, supporting hundreds of millions of users. Successful candidates will have strong engineering and communication skills, as well as, a belief that data-driven processes lead to phenomenal products. You will need to have a real passion for quality and an ability to understand complex systems. This role includes elements both of ad hoc analysis as well as a roll-up of production-grade data feeds. This role also includes an essential thread of data privacy and security. This is a rare opportunity to join a focused team and work collaboratively with other groups to make a significant impact

Education & Experience

A graduate degree relevant to software engineering or equivalent experience.

Additional Requirements

Apple benefits help further the well-being of its employees and their families in meaningful ways. No matter where you work at Apple, you can take advantage of their health and wellness resources and time-away programmes. They’re proud to provide stock grants to employees at all levels of the company, and they also give employees the option to buy Apple stock at a discount — both offer everyone at Apple the chance to share in the company’s success. You’ll discover many more benefits of working at Apple, such as programmes that match your charitable contributions, reimburse you for continuing your education and give you special employee pricing on Apple products. Apple benefits programmes vary by country and are subject to eligibility requirements.

Apple is an equal opportunity employer that is committed to inclusion and diversity. They take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other legally protected characteristics. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

Apple is a drug-free workplace. They will ensure that individuals with disabilities are provided a 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 them to request accommodation.

More Information

Share this job
Company Information
Connect with us
Contact Us
https://jobs.opendatascience.com/wp-content/themes/noo-jobmonster/framework/functions/noo-captcha.php?code=8166d

Here at the Open Data Science Conference we gather the attendees, presenters, and companies that are working on shaping the present and future of AI and data science. ODSC hosts one of the largest gatherings of professional data scientists with major conferences in the USA, Europe, and Asia.