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Apple Media Products (AMP) Music Science - Data Engineer

Job Title: Apple Media Products (AMP) Music Science - Data Engineer
Contract Type: Permanent
Location: London
Industry:
Salary: Not Specified
Reference: 200217260
Job Published: March 01, 2021 11:53

Job Description

Job Description

Weekly Hours: 35 Role Number:200217260 Have you ever imagined what you could do at Apple? Here new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The Apple Media Products Music Science team is looking for great engineers. We are looking for the very best people to build and positively improve features and services driving Apple Music. Music is at our heart and our team is responsible for dynamic and personal playlist generation, music feature extraction, creation of machine learning models, AB Testing, and serving infrastructure, seeking to continuously improve user experience. This includes features such as Siri music queries, personal recommendations, radio stations, similarity models, behavioural analysis. Here you have a phenomenal opportunity to help build and shape music services that are used by more than 50m users. Work with data at scale, using large distributed systems, building large ML infrastructure, while maintaining our users privacy. You will be collaborating with a great team of researchers and engineers, in a friendly environment., Our work covers from online back-end services, batch pipelines, feature extraction, model training, model serving, ranking and internal services and data generation; design and implementation of data pipelines (Spark); Hadoop infrastructure, machine learning infrastructure, strategy and implementation. Technologies to provide our solutions include distributed key-value storage (Voldemort, Cassandra, Redis, etc), machine learning tools (TensorFlow, scikit-learn, internal infrastructure), and we put all this together to provide live customer-facing features with millisecond-latencies across multiple data centres. We promote innovation and new technology to further improve our creative output. If you're an all round serverside engineer with experience of large scale data technologies and an interest in powering machine learning and recommendation systems at large scale, we'd love to hear from you.

Candidate Description

  • Experience in Java (+Scala or Python would be an advantage)

  • Hands on experience with Spark or Hadoop

  • Crafting, implementing and supporting scalable distributed systems and services

  • Building and running large scale data pipelines

  • Passion for customer-satisfaction ethic and focus on customer privacy

  • Love for music is desirable, Bachelors/Masters in Computer Science, related discipline or meaningful and proven experience Apple benefits help further the well-being of our employees and their families in meaningful ways. No matter where you work at Apple, you can take advantage of our health and wellness resources and time-away programmes. We're proud to provide stock grants to employees at all levels of the company, and we 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. We take affirmative action to ensure equal