Sr. Machine Learning Engineer - News

Santa Clara Valley (Cupertino), California, United States
Software and Services


Role Number:200059050
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary 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 News team is looking for a Sr. Machine Learning Engineer with a real passion for building scalable services to enable an excellent user experience that delight millions of users every single day.

Key Qualifications

  • 5+ years of industry experience
  • 5+ years experience developing in Java
  • Experience building scalable backend services on platforms like Mesos and Hadoop
  • Proficiency with scalable technologies such as Cassandra, Solr, and Kafka
  • Knowledge of machine learning techniques for problems such as named entity labeling, classification, and clustering is a plus
  • Experience implementing complex algorithms in software that are shipped to production
  • Experience building stable, high performance server-side systems using distributed processing algorithms
  • Excellent oral and written communication skills


Apple's News team is seeking a high-energy and self-driven Sr. Machine Learning Engineer who will play a central role in the delivery of scalable services. The team leverages Machine Learning to tackle challenging problems in the News domain, including text extraction, named entity recognition, duplicate detection, search and ranking. As a member of our dynamic group, you’ll have the rare and rewarding opportunity to craft upcoming products that will delight and encourage millions of Apple’s customers every day. Responsibilities • Design, develop and deploy systems and algorithms that process data in real time • Design and build stable and scalable production systems • Design and develop services using technologies such as Mesos, Cassandra, Solr, and Kafka • Collaborate with engineering and operations teams to deliver scalable, robust, and high-performance systems

Education & Experience

Bachelor's Degree in Computer Science, Electrical Engineering or Equivalent

Additional Requirements